The best Kafka UI tool for Apicurio Registry is one that connects to the registry’s Confluent-compatible endpoint with the credentials Apicurio accepts, decodes and produces records with the same wire format as the applications, lets only permitted people change a subject’s compatibility, keeps an audit trail that names each person rather than the tool’s credential, holds Apicurio beside other registries when a team has them, and runs as one container beside the cluster, out of the data path. Kpow, Kafbat UI, AKHQ, Lenses, Redpanda Console, Apicurio’s own web console and Conduktor each cover part of that. Scored on the six weighted criteria explained below the rankings, Kpow ranks first with 90 out of 100, ahead of Kafbat UI at 62 and the Apicurio Registry web console at 57; Conduktor, listed last, totals 53.
Tools compared
| Rank | Tool | Total (out of 100) | Out of the data path | Production access on request | Audit trail per person | Directory and Kafka sign-in | Multiple registries | Apicurio Registry depth | Cost a year, one cluster (modelled) |
|---|---|---|---|---|---|---|---|---|---|
| 1 | Kpow | 90 | One container, no external database, not a proxy | Temporary policies, staged approvals, masking | Every action and data read, by user | SAML, OpenID, LDAP | Several registries of any kind per cluster (Enterprise) | Named in docs; ccompat, basic auth, produce and decode in the guide | $7,380 |
| 2 | Kafbat UI | 62 | One container | Read-only clusters, no approvals | Opt-in log, no view in the product | OAuth2, OIDC, LDAP | One per cluster | Confluent-compatible; Apicurio not named | $8,640 |
| 3 | Apicurio Registry web console | 57 | Part of the registry deployment | Three roles, owner-only, no approvals | Audit entries in the registry log | OIDC, proxy header, Kubernetes | One registry | Native groups, rules, compare; no records | $11,520 |
| 4 | AKHQ | 54 | One container | Group roles, no approvals | Opt-in topic, no reads | LDAP, OIDC | One per cluster | Confluent-compatible; Apicurio issues open | $8,640 |
| 5 | Lenses | 51 | HQ on PostgreSQL plus an agent per cluster | Global masking, no approvals | In-product audit log | SSO from Team tier | One per environment | Apicurio page in its docs; one registry | $6,880 for 15 users; custom above |
| 6 | Redpanda Console | 45 | One container | None in the free build; RBAC licensed | No record on non-Redpanda brokers | OIDC (Enterprise) | One per deployment | Confluent-compatible; Apicurio not named | $8,640 plus an unpublished licence for sign-in and RBAC |
| 7 | Conduktor | 53 | Console on PostgreSQL; Gateway, a proxy, for data-level controls | Masking exemptions, owner approval | 70+ event types in the UI | LDAP, OIDC | One per cluster | Custom deserializer for decoding | $32,880; $122,880 with Gateway Core and Protect |
The tools, ranked for Apicurio Registry
Rank 1 Kpow
90 out of 100 Total
Try Kpow in the live demo No signup needed.
- Cost a year
- $4,500 per cluster with 100 users included, plus about $2,880 in operator time, so $7,380 on one cluster (modelled)
- On Apicurio Registry
- Named in Kpow's registry docs; ccompat endpoint with basic auth in the integration guide
- Deployment
- One container or JAR, no external database
- Out of the data path ×3 weight, this criterion counts 3 times toward the total
- 9 out of 10
- Production access on request ×2 weight, this criterion counts 2 times toward the total
- 9 out of 10
- Audit trail per person ×2 weight, this criterion counts 2 times toward the total
- 9 out of 10
- Directory and Kafka sign-in
- 9 out of 10
- Multiple registries
- 10 out of 10
- Apicurio Registry depth
- 8 out of 10
Why these scores for Kpow
- Out of the data path 9 out of 10
- It is one container or JAR whose snapshots, metrics and audit log live in topics on your own cluster, and it reads the registry over its REST API like any client, so nothing sits between your applications and the brokers or the registry.
- Production access on request 9 out of 10
- Temporary policies grant time-boxed access that an admin or a change system calling the Kpow API can create, staged mutations hold any action for approval, and data policies mask fields in inspection, though masking is per resource rather than per viewer.
- Audit trail per person 9 out of 10
- Every action is recorded with the user from the identity provider and the policy that allowed it, including data inspect queries, with a seven-day view in the product, the record written to an audit topic on your own cluster, and webhooks that send it to a SIEM for long-term retention.
- Directory and Kafka sign-in 9 out of 10
- People sign in with SAML, OpenID or LDAP, and Kpow connects to the brokers with the same SASL or TLS settings as any Kafka client.
- Multiple registries 10 out of 10
- Several registries of different kinds can be attached to one Kafka cluster with
SCHEMA_REGISTRY_RESOURCE_IDS, Apicurio beside Confluent, Karapace, AWS Glue or Google’s registry, which no other UI here documents; more than one registry needs Kpow Enterprise. - Apicurio Registry depth 8 out of 10
- Its schema registry documentation names Apicurio Registry among the Confluent-compatible registries it supports, the features page lists Apicurio in both editions, and Factor House’s integration guide connects Kpow to the
/apis/ccompat/v7endpoint with basic authentication, creates a subject, produces records and decodes them; what the ccompat layer leaves out, such as groups and Apicurio’s own rule types, stays with Apicurio’s tooling.
On Apicurio Registry. Kpow connects to a Confluent-compatible registry with SCHEMA_REGISTRY_URL and, for basic authentication, SCHEMA_REGISTRY_AUTH=USER_INFO with a user and password (schema registry configuration), and that page names Apicurio Registry beside Confluent Schema Registry and Karapace. The integration guide for Confluent-compatible registries points Kpow at Apicurio’s /apis/ccompat/v7 endpoint, creates an Avro subject on it, produces records against that subject and inspects them, beside a Confluent registry and Karapace on the same cluster. The Kpow features page lists Apicurio Schema Registry in both Community and Enterprise editions.
Where it falls short. Kpow works with Apicurio through the Confluent-compatible API, so it sees what that layer exposes: artifacts in Apicurio’s default group unless group concatenation is switched on, compatibility rather than Apicurio’s validity and integrity rules, and records whose schema ID sits in the payload rather than in headers. Mutual TLS and OAuth registry settings are documented for Confluent registries, not for Apicurio, so basic authentication with Apicurio’s client credentials option is the documented route. Kpow governs people working through Kpow; producers and consumers still call the registry with their own credentials. More than one registry per cluster, RBAC, masking, staged mutations and the audit log need Kpow Enterprise; Community Edition is free for 3 clusters and 10 users and includes Apicurio.
Compare Kpow vs Kafbat UIKpow vs AKHQ
Rank 2 Kafbat UI
62 out of 100 Total
- Cost a year
- $0 licence, about $8,640 in operator time (modelled)
- On Apicurio Registry
- Confluent-compatible registry settings; Apicurio not named in its docs
- Sign-in
- OAuth2, OIDC and LDAP, free
- Out of the data path ×3 weight, this criterion counts 3 times toward the total
- 9 out of 10
- Production access on request ×2 weight, this criterion counts 2 times toward the total
- 4 out of 10
- Audit trail per person ×2 weight, this criterion counts 2 times toward the total
- 6 out of 10
- Directory and Kafka sign-in
- 7 out of 10
- Multiple registries
- 4 out of 10
- Apicurio Registry depth
- 4 out of 10
Why these scores for Kafbat UI
- Out of the data path 9 out of 10
- It is one stateless container with no database and no proxy, the same pass as Kpow.
- Production access on request 4 out of 10
- RBAC grants actions per resource and a cluster can be set read-only, but there is no approval step, no time-boxed grant, and its masking applies the same way to every viewer.
- Audit trail per person 6 out of 10
- Its audit log names the logged-in user and records reads when the level is set to ALL, but it writes to a topic or the console with no view in the product, so reading the trail is something you build.
- Directory and Kafka sign-in 7 out of 10
- It supports OAuth2 and OIDC, including Microsoft Entra ID, and LDAP or Active Directory, and its documentation does not list SAML.
- Multiple registries 4 out of 10
- It manages one registry per Kafka cluster, with extra registries only as deserializers, and many clusters per install.
- Apicurio Registry depth 4 out of 10
- Its configuration reference documents a Confluent-compatible registry connection with basic authentication, OAuth client credentials or a keystore, which is the API Apicurio’s ccompat endpoint serves, but its documentation does not name Apicurio, so the fit is the reader’s to test.
On Apicurio Registry. Kafbat UI attaches one registry to each cluster connection, configured through the SCHEMAREGISTRY settings in its configuration reference. Pointed at Apicurio, that URL is the ccompat endpoint. The Kafbat UI review covers its RBAC and release history.
Where it falls short. There is no way to grant production access for an hour and have it expire, no approval before a compatibility change or a subject deletion runs, and masking cannot exempt the team that owns the data. No vendor is under contract to ship fixes. Its modelled running cost on one cluster is 6 engineer-hours a month, $8,640 a year at $120 an hour.
Rank 3 Apicurio Registry web console
57 out of 100 Total
- Cost a year
- Included with the registry; reading records falls to the Kafka CLI, modelled at 8 hours a month, $11,520 (modelled)
- On Apicurio Registry
- The registry's own console: groups, rules, version compare, version state
- Kafka records
- None; it manages schemas and API designs only
- Out of the data path ×3 weight, this criterion counts 3 times toward the total
- 9 out of 10
- Production access on request ×2 weight, this criterion counts 2 times toward the total
- 4 out of 10
- Audit trail per person ×2 weight, this criterion counts 2 times toward the total
- 4 out of 10
- Directory and Kafka sign-in
- 5 out of 10
- Multiple registries
- 2 out of 10
- Apicurio Registry depth
- 7 out of 10
Why these scores for Apicurio Registry web console
- Out of the data path 9 out of 10
- It is a component of the registry deployment itself, with no database beyond the registry’s own storage and no proxy, the same pass as Kpow.
- Production access on request 4 out of 10
- Three roles, sr-admin, sr-developer and sr-readonly, and owner-only authorization limit who changes what, and artifact version deletion is off unless enabled, but there is no approval step or expiring grant, and with no records to show there is nothing to mask.
- Audit trail per person 4 out of 10
- Apicurio’s configuration reference has a prefix for application audit logging, so registry changes go to the registry’s log, with no view of them in the console and no record of reads of topic data, which it never makes.
- Directory and Kafka sign-in 5 out of 10
- The console signs people in with OpenID Connect through Keycloak, Microsoft Entra ID (Azure AD in Apicurio’s documentation) or Dex, or with proxy header or Kubernetes-native authentication; LDAP and SAML are reached only through such a provider, and it makes no connection to Kafka brokers for people.
- Multiple registries 2 out of 10
- Each console serves one registry, the same score as on the schema registry management page.
- Apicurio Registry depth 7 out of 10
- As Apicurio’s own console it covers what no Confluent-API client can see, such as groups, validity and integrity rules, version states and non-Kafka artifact types, and it compares two versions of an artifact, but it reads no Kafka records, so decoding and producing fall to another tool.
On Apicurio Registry. Apicurio’s documentation on managing content with the web console describes browsing groups and artifacts, configuring content rules at global, group and artifact level, comparing artifact versions and changing a version’s state. Roles, owner-only authorization and sign-in are set out in Apicurio’s security options.
Where it falls short. It is a registry console, not a Kafka tool: it shows no topics, consumer groups or records, so reading what a schema change did to a topic falls to the Kafka CLI or another UI, modelled here at 8 engineer-hours a month, $11,520 a year at $120 an hour. Changes are governed by roles and ownership, with no approval step or expiring grant.
Rank 4 AKHQ
54 out of 100 Total
- Cost a year
- $0 licence, about $8,640 in operator time (modelled)
- On Apicurio Registry
- Confluent-compatible connection; Apicurio support an open request since 2022
- Security default
- Disabled until you enable it
- Out of the data path ×3 weight, this criterion counts 3 times toward the total
- 9 out of 10
- Production access on request ×2 weight, this criterion counts 2 times toward the total
- 3 out of 10
- Audit trail per person ×2 weight, this criterion counts 2 times toward the total
- 4 out of 10
- Directory and Kafka sign-in
- 6 out of 10
- Multiple registries
- 4 out of 10
- Apicurio Registry depth
- 3 out of 10
Why these scores for AKHQ
- Out of the data path 9 out of 10
- It is one stateless container with no database and no proxy, the same pass as Kpow.
- Production access on request 3 out of 10
- Groups bind actions to resources by regex, but there is no approval step or time-boxed grant, masking is global, and without the JWT signing secret the restriction is in the UI only.
- Audit trail per person 4 out of 10
- Audit events are opt-in to a Kafka topic, reads are not recorded, and there is no view for the trail.
- Directory and Kafka sign-in 6 out of 10
- It supports LDAP, OIDC and header authentication from a proxy, does not list SAML, and ships with security disabled until you enable it.
- Multiple registries 4 out of 10
- It manages one registry per cluster connection, Confluent or TIBCO, with Glue for decoding only.
- Apicurio Registry depth 3 out of 10
- It connects to a Confluent-compatible registry, but a request to support Apicurio has been open since 2022, a bug where a disabled Apicurio version breaks the schema list is open with its fix still under review, and a Protobuf issue with Apicurio is open.
On Apicurio Registry. AKHQ sets a schema-registry block on each cluster connection with a URL and basic authentication (AKHQ cluster configuration), which can point at Apicurio’s ccompat endpoint. Its issue tracker records the gaps: support Apicurio as schema registry has been open since March 2022, a disabled artifact version breaks the latest-version lookup has been open since September 2022 with a fix proposed in December 2025, and Protobuf schemas in Apicurio is open. The AKHQ review covers the rest.
Where it falls short. Security is off until you configure it, the audit trail is an opt-in topic that does not record reads, and there is no approval step or time-boxed grant. Its modelled running cost on one cluster is 6 engineer-hours a month, $8,640 a year at $120 an hour.
Compare Kpow vs AKHQAKHQ review
Rank 5 Lenses
lenses.io
51 out of 100 Total
- Cost a year
- Team is $4,000 for up to 15 users on one cluster, $6,880 with operator time; 25 engineers needs a custom quote (modelled)
- On Apicurio Registry
- Agent connects through Apicurio's ccompat endpoint, one registry
- Deployment
- HQ on PostgreSQL plus an agent and database per cluster
- Out of the data path ×3 weight, this criterion counts 3 times toward the total
- 4 out of 10
- Production access on request ×2 weight, this criterion counts 2 times toward the total
- 4 out of 10
- Audit trail per person ×2 weight, this criterion counts 2 times toward the total
- 7 out of 10
- Directory and Kafka sign-in
- 7 out of 10
- Multiple registries
- 4 out of 10
- Apicurio Registry depth
- 6 out of 10
Why these scores for Lenses
- Out of the data path 4 out of 10
- It runs a central HQ on PostgreSQL plus an agent and an agent database beside every cluster, and HQ has no high-availability option.
- Production access on request 4 out of 10
- Its masking is the strictest view-time model, global with no escape even for admins, but no approval step or time-boxed grant is described.
- Audit trail per person 7 out of 10
- Audit logs can be read in the product, with no need to build a consumer first.
- Directory and Kafka sign-in 7 out of 10
- SSO spans Okta, Keycloak, OneLogin, Google and Entra ID, with basic authentication only on Community.
- Multiple registries 4 out of 10
- Its agent connects to the Schema Registry of each environment, one registry beside each Kafka cluster, with many environments under one HQ.
- Apicurio Registry depth 6 out of 10
- Its agent provisioning documentation has an Apicurio page that connects through the ccompat endpoint and allows one registry connection, the only UI here other than Kpow whose documentation names Apicurio as a registry, but the page names older ccompat versions and says nothing about groups or authentication to Apicurio.
On Apicurio Registry. Lenses connects to a Kafka cluster and its registry through an agent in each environment. Its provisioning documentation for Apicurio sets the registry URL to the ccompat endpoint and allows a single Schema Registry connection. SQL over topics is the centre of the product and the strongest query model on this page. The Lenses review covers its tiers and deployment.
Where it falls short. A central HQ on PostgreSQL plus an agent and an agent database for every cluster adds two databases beside a registry that needs none. The Team licence stops at 15 users on one cluster, so a larger team is on a custom quote.
Compare Kpow vs LensesLenses review
Rank 6 Redpanda Console
redpanda.com
45 out of 100 Total
- Cost a year
- $0 for the free build, about $8,640 in operator time (modelled); sign-in and RBAC need an unpublished Enterprise licence
- On Apicurio Registry
- Confluent-compatible registry block; Apicurio not named in its docs
- Clusters
- One broker cluster and one registry per deployment
- Out of the data path ×3 weight, this criterion counts 3 times toward the total
- 9 out of 10
- Production access on request ×2 weight, this criterion counts 2 times toward the total
- 2 out of 10
- Audit trail per person ×2 weight, this criterion counts 2 times toward the total
- 2 out of 10
- Directory and Kafka sign-in
- 4 out of 10
- Multiple registries
- 2 out of 10
- Apicurio Registry depth
- 4 out of 10
Why these scores for Redpanda Console
- Out of the data path 9 out of 10
- It is a self-hosted container with no database, the same pass as Kpow.
- Production access on request 2 out of 10
- The free community build has no access control of any kind, and RBAC needs a Redpanda Enterprise licence, with no approval step or time-boxed grant described.
- Audit trail per person 2 out of 10
- Redpanda’s audit log is a feature of Redpanda’s own brokers, so on another Kafka cluster Console keeps no record of who did what, with or without an Enterprise licence.
- Directory and Kafka sign-in 4 out of 10
- It connects to Kafka-compatible brokers over the standard SASL mechanisms, but OIDC sign-in for people requires an Enterprise licence and is its only single sign-on protocol.
- Multiple registries 2 out of 10
- Its configuration has one
schemaRegistryblock beside one broker cluster, so each deployment reaches one registry. - Apicurio Registry depth 4 out of 10
- Its configuration reference documents a Confluent-compatible registry with basic authentication, a bearer token or client certificates, which Apicurio’s ccompat endpoint serves, but its documentation does not name Apicurio, so the fit is the reader’s to test.
On Apicurio Registry. Redpanda Console is Redpanda’s web console, source-available under the Business Source License, and it connects to Kafka-compatible brokers and Confluent-compatible registries as well as Redpanda. Its message viewer is quick, with an observer mode that reads a topic without joining a consumer group. The Redpanda Console review covers the licence terms in detail.
Where it falls short. Governance is bought from Redpanda, a broker vendor, even on another vendor’s cluster: sign-in and RBAC need an Enterprise licence whose price is not published, and Redpanda’s audit log is a feature of its own brokers. Each deployment reaches one broker cluster and one registry.
Rank 7 Conduktor
conduktor.io
53 out of 100 Total
- Cost a year
- 25 Console seats at $1,200 is $30,000 plus $2,880 operator time, so $32,880; Gateway Core adds $60,000 and Gateway Protect, which carries encryption and masking, a further $30,000 (modelled)
- On Apicurio Registry
- Custom deserializer guide for Apicurio-encoded records; one registry per cluster
- Deployment
- Console on PostgreSQL 13+; data-level controls through Gateway, a proxy
- Out of the data path ×3 weight, this criterion counts 3 times toward the total
- 3 out of 10
- Production access on request ×2 weight, this criterion counts 2 times toward the total
- 6 out of 10
- Audit trail per person ×2 weight, this criterion counts 2 times toward the total
- 8 out of 10
- Directory and Kafka sign-in
- 7 out of 10
- Multiple registries
- 4 out of 10
- Apicurio Registry depth
- 5 out of 10
Why these scores for Conduktor
- Out of the data path 3 out of 10
- Console needs PostgreSQL 13 or later, and its encryption, data-level masking and Virtual Clusters only work when client traffic goes through Gateway, a proxy in the data path.
- Production access on request 6 out of 10
- Masking can exempt users or groups, which beats every other tool here on who sees unmasked data, and cross-team access requests are approved by the owning team, but no expiring grant is described and topic creation that passes policy is a direct API call.
- Audit trail per person 8 out of 10
- Console logs produce, consume and admin requests across more than 70 event types with user, IP and timestamp, browsable in the UI and exported as CloudEvents.
- Directory and Kafka sign-in 7 out of 10
- Its SSO configuration covers LDAP and OIDC, with guides for Okta, Entra ID and Keycloak, and does not describe SAML.
- Multiple registries 4 out of 10
- Its cluster reference takes one registry per Kafka cluster, with many clusters per Console.
- Apicurio Registry depth 5 out of 10
- Its custom deserializer guide names Apicurio, decoding records on the Consume page through a plugin built on Apicurio’s own client library and pointed at the registry URL, which covers decoding; managing Apicurio subjects through Console is not described.
On Apicurio Registry. Conduktor’s guide to custom deserializers in Console has an Apicurio section: a deserializer JAR is added to the Console image, then picked on the Consume page with apicurio.registry.url and credentials as its properties. Its resource reference documents one registry per Kafka cluster. The Conduktor review covers the rest.
Where it falls short. Console connects to the registry directly and needs PostgreSQL. Conduktor’s data-level controls, such as encryption, masking of the data itself and virtual clusters for multi-tenancy, run in Gateway, a Kafka proxy that client applications connect through. On AWS Marketplace, Conduktor Enterprise lists Console at $1,200 a seat for the first 100 seats, Gateway Core, which carries virtual clusters, at $60,000 a year, and Gateway Protect, the add-on for encryption and masking, at a further $30,000.
Compare Conduktor review
What teams using Apicurio Registry need
This page is about tools for a team that already runs Apicurio Registry beside its Kafka clusters and wants one UI for reading topics, managing subjects and governing who does what. It does not rank the registries themselves; Apicurio, Confluent’s registry, Karapace, AWS Glue and Redpanda’s are compared in the best tools for Kafka schema registry management. Teams on Confluent’s registry have the best Kafka UI tools for Confluent Schema Registry, teams on AWS Glue have the best Kafka UI tools for AWS Glue Schema Registry, and teams running Kafka on OpenShift have the best Kafka UI tools for Red Hat AMQ Streams (Streams for Apache Kafka on OpenShift).
Apart from Apicurio’s own console and the custom deserializer route Conduktor documents for decoding records, every Kafka UI on this page reaches Apicurio the same way: through the Confluent Schema Registry API that Apicurio serves at /apis/ccompat/v7 and /apis/ccompat/v8, beside its own v3 API. Apicurio’s Confluent Schema Registry compatibility page lists what that layer covers and what it does not, and those limits apply to every tool that uses it, Kpow included. Its subjects endpoint returns at most 1,000 subjects unless apicurio.ccompat.max-subjects is raised. Apicurio’s groups appear through it only when apicurio.ccompat.group-concat.enabled joins the group ID and artifact ID into the subject name. And it accepts Confluent data contract fields but neither stores nor runs them, so a tool’s support for Confluent data rules does nothing on Apicurio, which has its own data contracts feature on its native API.
Out of the data path. Apicurio Registry stays out of the data path by design. Producers and consumers call it from their own SerDes, which, as Apicurio’s SerDes documentation describes, write a magic byte and the schema’s ID into each record, so the registry is consulted, not passed through. A management tool fits that design when it is one more client: it reads the registry over REST, decodes records with a matching wire format, and sits in no application’s path. Kpow is one container with no external database, installed in your own environment and out of the data path; it keeps its working state in a few internal topics on the cluster, tuned to retain only a small amount of data, plus its audit log topic. Conduktor Console also connects directly, with a PostgreSQL database of its own; Conduktor’s data-level controls, such as encryption, masking of the data itself and virtual clusters, run in Conduktor Gateway, a Kafka proxy that client applications connect through.
Where Apicurio keeps its data matters to the tool too. Apicurio’s introduction to the registry recommends PostgreSQL for production and offers Kafka storage for teams without database expertise, and on Kafka storage the registry’s own journal is a topic, kafkasql-journal in Factor House’s integration guide, on the cluster the tool manages. A person who can delete or produce to that topic from a UI can damage the registry itself, so the tool’s roles need to keep it out of reach; Kpow’s RBAC can deny actions on a named topic.
A tool beside the registry can still load it. A registry with several thousand schemas costs a tool that reads each subject and version separately thousands of REST calls per snapshot, and the registry serves every producer and consumer too. Kpow’s default observation version reads every schema with its metadata in one call; the trade-off, stated in the same documentation, is that compatibility is then shown on each schema rather than in the list.
Production access on request. Apicurio is cautious by default about deletion: its schema lifecycle guide says artifact version deletion is disabled until a property enables it, and recommends moving a version through deprecated to disabled instead. The risky changes are therefore rules and states. The same compatibility page notes that the ccompat check endpoint defaults to BACKWARD, but registration enforces nothing until a compatibility rule is configured, so the person who can set or remove that rule decides what reaches every consumer of a subject. A disabled latest version also breaks tools that ask for the latest version, as an AKHQ issue open since 2022 records. What a team needs from the tool is a role that can read schemas but not change compatibility, an approval step before such a change runs, and production access for one task that then expires. Kpow’s temporary policies and staged mutations cover those two, and the controls are compared across the field in the best tools for Kafka role-based access control (RBAC).
Audit trail per person. Apicurio’s own controls see whoever calls it. Its security options describe owner-only authorization, under which only the user who created an artifact can modify or delete it, and role-based authorization with sr-admin, sr-developer and sr-readonly. When engineers work through a shared tool, the caller is the tool’s client, so every artifact it creates has the same owner and every change is the tool’s. The record of which person changed a rule, disabled a version or read which records has to come from the tool, kept beside the registry’s own log. NIST’s SP 800-53 gives audit and accountability a control family of its own, and the options are compared in the best tools for Kafka audit logging.
Directory and Kafka sign-in. Apicurio signs callers in with OpenID Connect by default. The same security page says HTTP basic authentication, for tools that do not support OpenID Connect, works only when apicurio.authn.basic-client-credentials.enabled is set, and the username and password are then an OIDC client ID and secret that the registry exchanges for a token, cached for 10 minutes by default and best set to one minute under the identity provider’s token lifetime. A UI that sends basic credentials therefore needs that option switched on and its own client in Keycloak, Entra ID or whichever provider Apicurio uses. People still sign in to the UI through the company directory, separately.
Multiple registries. Teams end up with more than one registry for ordinary reasons: separate registries for development and production, Apicurio beside a Confluent registry during a migration, or AWS Glue for the clusters on Amazon MSK. A tool that attaches one registry per cluster shows only one of them beside the topics they serve.
Apicurio Registry depth. Two things separate a tool that works with Apicurio from one that happens to speak its API. The first is the record format. Apicurio’s SerDes put a 4-byte content ID in the payload by default, the same layout as Confluent’s, and its compatibility page says the Confluent schema ID maps to that content ID unless legacy ID mode is set, so tools with Confluent-format SerDes decode those records. Producers configured with apicurio.registry.headers.enabled carry the ID in Kafka headers instead, and those records need Apicurio’s own deserializer, which is the route Conduktor’s custom deserializer guide takes. The second is documentation that names Apicurio and shows the connection, which is the difference between a tested integration and one the reader tests.
No tool here leads on every point: Apicurio’s own console is the only one that sees groups, validity and integrity rules and the registry’s other artifact types, and Lenses has the stronger query model with SQL over topics. Kpow governs people working through Kpow, so applications keep their own registry credentials and Apicurio’s own access control stays the control for them.
Where Kpow’s Apicurio Registry support is documented
This page names no customer running Kpow with Apicurio Registry, so the evidence it cites is Factor House’s own documentation. Kpow’s schema registry documentation names Apicurio Registry among the Confluent-compatible registries it supports, the Kpow features page lists Apicurio Schema Registry in both Community and Enterprise editions, and Factor House’s integration guide runs Apicurio beside Confluent Schema Registry and Karapace on one Kafka cluster, with the Docker Compose file and the Kpow configuration. Factor Platform’s configuration documentation also lists Apicurio among its schema registry types.
Teams that run Kpow with a registry and have said so in public are on the Confluent Schema Registry page, where TD compares schema versions in Kpow and NORD/LB produces test data against the registered schema, and on the AWS Glue Schema Registry page.
How a team runs Kpow with Apicurio Registry
Installing it beside the cluster. Kpow runs as one Docker container, a Java JAR or through the Helm charts, in the same network as the brokers and the registry. It needs no external database, because its snapshots, metrics and audit log live in topics on the cluster itself.
Connecting to the registry. SCHEMA_REGISTRY_URL points Kpow at Apicurio’s Confluent-compatible endpoint, such as http://apicurio:8080/apis/ccompat/v7 in the integration guide, and basic authentication takes SCHEMA_REGISTRY_AUTH=USER_INFO with SCHEMA_REGISTRY_USER and SCHEMA_REGISTRY_PASSWORD (schema registry configuration). On an Apicurio secured with OpenID Connect, those are the client ID and secret of a client created for Kpow, with Apicurio’s basic client credentials option enabled, and that client’s role in Apicurio sets the most Kpow can do there. Setting SCHEMA_REGISTRY_STARTUP_VALIDATION=false lets Kpow start while the registry is down and reconnect when it returns.
Holding several registries. SCHEMA_REGISTRY_RESOURCE_IDS lists more than one registry for one Kafka cluster, each configured with its own prefix, such as APICURIO_SCHEMA_REGISTRY_URL beside CONFLUENT_SCHEMA_REGISTRY_URL in the integration guide, and the list order sets the order in the UI. More than one registry needs Kpow Enterprise.
Managing subjects. The schema view lists each subject and version and creates and edits schemas, as the integration guide shows by creating an Avro subject on Apicurio. RBAC sets Allow, Deny or Stage per schema action, so a team can read its subjects while a compatibility change or a deletion waits for approval through staged mutations, and the same rules can deny actions on Apicurio’s journal topic when the registry uses Kafka storage. Groups, validity and integrity rules and version states stay in Apicurio’s own console.
Reading and producing records. Data inspect decodes records with the registry’s SerDes, which follow the Confluent wire format, so records whose schema ID Apicurio’s SerDes wrote into the payload decode against the Apicurio subject, and engineers filter them with kJQ. Data produce fetches the registered schema and serialises test records against it. Data policies mask sensitive fields in inspect results on the server.
Signing people in and granting access. Engineers sign in through SAML, OpenID Connect or LDAP, tenants give each team its own view of a shared cluster, and a temporary policy grants one role production access for a set time.
Keeping the record. The audit log records each action, schema changes and data inspect queries included, with the user from the identity provider, which is the per-person record Apicurio cannot keep when every call arrives as Kpow’s client. A webhook sends those records to Slack, Microsoft Teams or any HTTP endpoint, such as a SIEM collector.
Kpow live demo
See the Kpow schema view
The live Kpow demo runs on Apache Kafka clusters on Amazon MSK, and the registry attached to it is AWS Glue rather than Apicurio. Open Schema to see the view a team gets on Apicurio Registry too: each subject with its version, compatibility mode and status, with no signup.
For platform teams choosing a Kafka tool for Apicurio Registry.
Try the Kpow demoFAQ
What is the best Kafka UI for Apicurio Registry?
On this page’s rubric, Kpow, with 90 of 100 points: its documentation names Apicurio among the registries it supports, Factor House’s integration guide connects it to Apicurio’s Confluent-compatible endpoint, and it creates subjects, produces and decodes records under per-person roles, approvals and an audit trail, holds several registries beside one cluster, and runs as one container with no external database. Kafbat UI is the highest-scoring free option, and Apicurio’s own web console stays the tool for groups and Apicurio’s own rule types.
Does Kpow support Apicurio Registry?
Yes. Kpow’s schema registry documentation names Apicurio Registry among the Confluent-compatible registries it supports, the Kpow features page lists it in both Community and Enterprise editions, and the integration guide connects Kpow to Apicurio’s /apis/ccompat/v7 endpoint with basic authentication.
Which Apicurio endpoint does a Kafka UI connect to?
The Confluent-compatible one, /apis/ccompat/v7 or /apis/ccompat/v8, because Kafka UIs speak the Confluent Schema Registry API. Apicurio’s compatibility page lists what that layer covers: schemas, subjects, compatibility, config and mode. Apicurio’s groups, its validity and integrity rules and its own data contracts sit on its native v3 API and are managed in its own console or tooling.
Do Confluent data contract rules work on Apicurio Registry?
Not through the Confluent-compatible API. Apicurio’s compatibility page says it accepts the metadata and ruleSet fields but does not store or enforce them, and points to Apicurio’s own data contracts feature instead. A Kafka UI that runs Confluent data rules when reading has no rules to run on an Apicurio subject.
Can one Kafka UI manage Apicurio and another registry together?
Kpow attaches more than one registry to a single Kafka cluster with SCHEMA_REGISTRY_RESOURCE_IDS, of the same or different kinds, in Kpow Enterprise, and the integration guide runs Apicurio, Confluent Schema Registry and Karapace side by side. The other UIs on this page attach one registry to each cluster connection, and Apicurio’s own console serves one registry.
Is there a free Kafka UI for Apicurio Registry?
Kpow Community Edition is free on up to 3 clusters and 10 users and includes Apicurio Schema Registry. Kafbat UI and AKHQ are open source, and Apicurio’s web console comes with the registry. Several registries per cluster, RBAC, masking, staged approvals and the audit log need Kpow Enterprise. More free options are compared in the best free Kafka UI tools in 2026.
How these tools were scored
Four of the six criteria are the ones Factor House scores on every page for teams that share a Kafka cluster; the other two are holding several registries and the depth of Apicurio Registry support. They are listed here in order of weight. Each criterion is scored 0 to 10: 10 where a tool is the only one here doing it or clearly the best, 8 for a clean documented pass, 5 or 6 for partial support or support that needs work the reader must verify, 1 to 4 for a weak or indirect form, and 0 where it is absent.
1. Out of the data path (counts three times). The tool should run in your own environment, reach the brokers and the registry over the same private network your applications use as an ordinary client, and keep no data outside your own cluster. Scored lower: tools that need an external database of their own, and tools whose controls work only when application traffic passes through a vendor’s proxy. A self-hosted container with no external database and no proxy scores 9, a tool with a database of its own 6, one with several databases, an agent per cluster or a dedicated host with a broker reporter 4, and one that needs both a database and a proxy for its controls 3; 10 is kept for an option with nothing to deploy at all, and none is scored here. This criterion is scored the same way on every Factor House page that uses it, and only its weight changes with the reader.
2. Production access on request (counts twice). Whether an engineer can be granted access to production for one task and have it expire, whether a destructive change, such as removing a compatibility rule or deleting a subject, can be held for a second person’s approval, and whether sensitive fields can be masked from people who do not need them.
3. Audit trail per person (counts twice). Whether the tool records each action, reads included, against the person from the identity provider, and whether that record can be read in the product and sent to the systems that keep it long term.
4. Directory and Kafka sign-in (counts once). Whether people sign in through SAML, OpenID Connect or LDAP, and whether the tool connects to the brokers with the same SASL or TLS settings as any Kafka client.
5. Multiple registries (counts once). Whether one Kafka cluster can have more than one registry attached, of the same or different kinds, and whether one deployment reaches several clusters. These scores are the same as on the best tools for Kafka schema registry management and the best Kafka UI tools for Confluent Schema Registry for the tools scored there.
6. Apicurio Registry depth (counts once). Whether the tool’s documentation names Apicurio Registry and shows the connection, whether it manages subjects and compatibility on it, and whether it decodes and produces records serialised against it. A tool that speaks the Confluent-compatible API but does not name Apicurio scores 4, because the fit is the reader’s to test; open defects specific to Apicurio lower that.
Costs are modelled for one production cluster and 25 engineers at $120 per engineer hour, using the same hours per tool class as Factor House’s other comparison pages. Tools with a licence carry the published price plus 2 hours a month to run. The open-source UIs carry 6 hours a month, $8,640 a year, to run, secure and keep current. Kpow’s $7,380 uses the published price of $4,500 per cluster with 100 users included. Lenses publishes a Team price of $4,000 a year for up to 15 users on one cluster, so 25 engineers is a custom quote. Apicurio’s console comes with the registry, so its figure is the time spent reading topics with the Kafka CLI instead, 8 hours a month, the same model as the AWS Glue console on the AWS Glue Schema Registry page. Conduktor’s Console is $1,200 a seat on AWS Marketplace, and its Gateway Core and Gateway Protect prices are added for the data-level controls; Conduktor prices Gateway per cluster with a 3-cluster minimum, and the listing does not say how many clusters that figure covers. Kpow Community Edition is free for 3 clusters and 10 users, so a 25-engineer team is on Enterprise. For free options compared at any team size, see the best free Kafka UI tools in 2026.
The criteria map onto Apicurio Registry’s features in the figure below.
Every option is scored from 0 to 10 on each criterion, from the evidence and sources this page cites, and the reason for each score is on its card. The criteria are weighted: Out of the data path counts three times, Production access on request counts twice, Audit trail per person counts twice, Directory and Kafka sign-in counts once, Multiple registries counts once and Apicurio Registry depth counts once, for a total out of 100. Out of the data path counts three times. Apicurio Registry is a REST service that producers and consumers call from their own SerDes, with the registry beside the brokers rather than in front of them, and a tool that applications connect through, or that needs a database of its own, adds the component that design leaves out. Production access on request and the per-person audit trail count twice, because a compatibility rule removed or a version disabled reaches every producer and consumer of that artifact, and Apicurio's own access control sees the tool's credential, not the person. Directory sign-in, holding several registries, and the depth of Apicurio Registry support count once. This page is published by Factor House, which makes Kpow. Every option is scored on the same rubric and the same sources: Kpow's per-criterion scores are set the same way as every other option's and are not adjusted, and the weights apply to every option alike. Kpow ranks first on its total of 90 out of 100. The other options follow by total. Conduktor is listed last whatever its total; on its total of 53 it would place fifth.
Related reading
- Kafka: the complete guide
- Best tools for Kafka schema registry management
- Best Kafka UI tools for Confluent Schema Registry
- Best Kafka UI tools for AWS Glue Schema Registry
- Best Kafka UI tools for Red Hat AMQ Streams (Streams for Apache Kafka on OpenShift)
- Integrate Confluent-compatible registries in Kpow
- Best Kafka governance tools for financial services