The best Kafka UI tool for Bufstream is one that connects to Bufstream’s Kafka API as an ordinary client and depends on nothing else, reads Protobuf records through the Buf Schema Registry’s Confluent-compatible API, lets an engineer into production for a set task and holds risky changes for approval, keeps an audit trail that names each person, and runs as one container beside the cluster, out of the data path, so it keeps working whatever the team runs next. Kpow, Kafbat UI, AKHQ, Lenses, Redpanda Console and Conduktor each cover part of that. Scored on the six weighted criteria explained below the rankings, Kpow ranks first with 89 out of 100, ahead of Kafbat UI at 65 and AKHQ at 58; Conduktor, listed last, totals 56.
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 | Many teams, shared clusters | Bufstream and Protobuf schemas | Cost a year, one cluster (modelled) |
|---|---|---|---|---|---|---|---|---|---|
| 1 | Kpow | 89 | One container, no external database, not a proxy | Temporary policies, staged approvals, masking | Every action and data read, by user | SAML, OpenID, LDAP | Tenants per team | Tested provider; Buf Schema Registry supported; quickstart docs only | $7,380 |
| 2 | Kafbat UI | 65 | One container | Read-only clusters, no approvals | Opt-in log, no view in the product | OAuth2, OIDC, LDAP | Roles per resource | Kafka API and registry, no Bufstream guide | $8,640 |
| 3 | AKHQ | 58 | One container | Group roles, no approvals | Opt-in topic, no reads | LDAP, OIDC | Regex groups | Named by Buf for its registry; Protobuf deserialise only | $8,640 |
| 4 | Lenses | 52 | HQ on PostgreSQL plus an agent per cluster | Global masking, no approvals | In-product audit log | SSO from Team tier | Group roles | Any Kafka-compatible API | $6,880 for 15 users; custom above |
| 5 | Redpanda Console | 47 | One container | None in the free build; RBAC licensed | No record on non-Redpanda brokers | OIDC (Enterprise) | One cluster per deployment | Kafka API and registry, no Bufstream guide | $8,640 plus an unpublished licence for sign-in and RBAC |
| 6 | Conduktor | 56 | Console on PostgreSQL; Gateway, a proxy, for data-level controls | Masking exemptions, owner approval | 70+ event types in the UI | LDAP, OIDC | Groups; Virtual Clusters need Gateway | Any Kafka 2.5+; Gateway on Bufstream undocumented | $32,880; $122,880 with Gateway Core and Protect |
The tools, ranked for Bufstream
Rank 1 Kpow
89 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 Bufstream
- Tested-compatible provider; Buf Schema Registry named as a supported registry
- 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
- Many teams, shared clusters
- 9 out of 10
- Bufstream and Protobuf schemas
- 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 connects to Bufstream as an ordinary Kafka client, so nothing sits between your applications and the brokers.
- 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 Bufstream’s Kafka API with the same SASL or TLS settings as any Kafka client.
- Many teams, shared clusters 9 out of 10
- Tenants scope each team to its own topics, consumer groups and connectors on a shared cluster, and RBAC adds Allow, Deny or Stage per action.
- Bufstream and Protobuf schemas 8 out of 10
- Bufstream is on Kpow’s tested-compatible list with its own provider page, the Buf Schema Registry is named among the registries Kpow supports, and Protobuf records decode in data inspect, a clean documented pass held below 10 because the provider page is a local quickstart against Buf’s public demo registry, with no production authentication guidance.
On Bufstream. Kpow’s Bufstream provider page starts an in-memory Bufstream broker and Kpow in Docker on a shared network and connects Kpow to it with BOOTSTRAP, and to Buf’s Confluent-compatible registry endpoint with SCHEMA_REGISTRY_URL. Its Kafka cluster documentation lists Bufstream among the platforms Kpow has been tested with, and its schema registry documentation names the Buf Schema Registry among the provider-specific registries it supports. The Kpow features page lists Bufstream among the supported Kafka platforms.
Where it falls short. Kpow works through the standard Kafka API and does not manage anything specific to Bufstream, such as its object storage, metadata store or Iceberg settings, which stay with Bufstream’s own tooling and the cloud provider’s console. The provider page covers a local quickstart rather than a production deployment, so authentication to the brokers and to a private registry is configured from the general cluster and registry documentation. Kpow governs people working through Kpow, so applications keep their own principals. RBAC, masking, staged mutations and the audit log need Kpow Enterprise; Community Edition is free for 3 clusters and 10 users.
Compare Kpow vs Kafbat UIKpow vs AKHQ
Rank 2 Kafbat UI
65 out of 100 Total
- Cost a year
- $0 licence, about $8,640 in operator time (modelled)
- On Bufstream
- Kafka API and Confluent-compatible registry; no Bufstream guide
- 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
- Many teams, shared clusters
- 6 out of 10
- Bufstream and Protobuf schemas
- 5 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.
- Many teams, shared clusters 6 out of 10
- Roles scope permissions per resource and list the clusters they apply to, with no tenant view of a team’s own resources.
- Bufstream and Protobuf schemas 5 out of 10
- It can reach Bufstream through the Kafka API and the Buf Schema Registry as a Confluent-compatible registry like any Kafka cluster, and decodes Protobuf, but publishes no Bufstream guidance and is not named in Buf’s own material, so the fit is yours to verify.
On Bufstream. Kafbat UI treats a Kafka-compatible cluster as one more Kafka cluster: a bootstrap address, SASL or TLS properties, and a Confluent-compatible schema registry. Its feature list covers topic and message browsing, consumer groups, schemas and Kafka Connect. The Kafbat UI review covers its RBAC and release history in detail.
Where it falls short. There is no way to grant production access for an hour and have it expire, no approval before a change 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 AKHQ
58 out of 100 Total
- Cost a year
- $0 licence, about $8,640 in operator time (modelled)
- On Bufstream
- Named by Buf as working with the Buf Schema Registry's Confluent API
- 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
- Many teams, shared clusters
- 5 out of 10
- Bufstream and Protobuf schemas
- 6 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.
- Many teams, shared clusters 5 out of 10
- Groups combine resource types with regex patterns on names and clusters, which limits what a role can reach, but there is no tenant view of a team’s own resources.
- Bufstream and Protobuf schemas 6 out of 10
- Buf names AKHQ as a management tool that works with the Buf Schema Registry’s Confluent-compatible API, which puts it a step ahead of the other open-source UIs here, though its review records Protobuf support limited to the deserialiser side.
On Bufstream. AKHQ connects to Bufstream as a named Kafka connection with ordinary client properties, and the Buf Schema Registry is set up as a Confluent-compatible registry. Buf’s post on why a Protobuf schema registry says the registry implements the same API as the Confluent Schema Registry, so it works with management tools like AKHQ. 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 4 Lenses
lenses.io
52 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 Bufstream
- Any Kafka-compatible API, one agent per cluster
- 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
- Many teams, shared clusters
- 6 out of 10
- Bufstream and Protobuf schemas
- 5 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.
- Many teams, shared clusters 6 out of 10
- Roles attach to groups only, never to individuals, and no scoped view per team is described.
- Bufstream and Protobuf schemas 5 out of 10
- Lenses says it supports any Kafka-compatible API through its agent, and reads Confluent-compatible registries, but describes nothing specific to Bufstream or the Buf Schema Registry.
On Bufstream. Lenses connects to a Kafka-compatible cluster through an agent beside it, and 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 more databases to a Bufstream deployment that already runs a metadata store of its own. 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 5 Redpanda Console
redpanda.com
47 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
- Licence
- Business Source License
- Clusters
- One broker cluster 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
- Many teams, shared clusters
- 3 out of 10
- Bufstream and Protobuf schemas
- 5 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 Bufstream 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.
- Many teams, shared clusters 3 out of 10
- RBAC is licence-gated and each deployment reaches one broker cluster, so there is no single policy across development, staging and production.
- Bufstream and Protobuf schemas 5 out of 10
- It reaches Bufstream through the Kafka API and a Confluent-compatible registry like any Kafka cluster, and decodes Protobuf, with no Bufstream guidance of its own.
On Bufstream. Redpanda Console is Redpanda’s web console, source-available under the Business Source License, and it connects to Kafka-compatible brokers 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 a cluster that runs no Redpanda broker: 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, so on Bufstream no licence gives Console a record of who did what. Each deployment reaches one broker cluster.
Rank 6 Conduktor
conduktor.io
56 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 Bufstream
- Any Kafka 2.5 or later; no Bufstream guide
- 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
- Many teams, shared clusters
- 7 out of 10
- Bufstream and Protobuf schemas
- 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.
- Many teams, shared clusters 7 out of 10
- Permissions are set per user or group across clusters, but a user in several groups inherits the most permissive grant, and Virtual Clusters for multi-tenancy need Gateway.
- Bufstream and Protobuf schemas 5 out of 10
- Conduktor states that Console works with any Kafka 2.5 or later and reads Confluent-compatible registries, and describes nothing specific to Bufstream; whether Gateway works in front of Bufstream is not documented.
On Bufstream. Conduktor states that Console works with Confluent, MSK, Redpanda or any Kafka 2.5 and later. Conduktor’s Gateway documentation describes Gateway as a Kafka proxy between client applications and brokers, which is where its encryption, masking of the data itself and virtual clusters for multi-tenancy are enforced. The Conduktor review covers the rest.
Where it falls short. Console connects to Bufstream 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, which puts Gateway in the data path in front of Bufstream’s agents. 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 on Bufstream need
This page is about tools that sit beside a Bufstream cluster: a UI for reading topics, managing consumer groups and schemas, and governing who does what. Bufstream itself changed hands this year. On 8 May 2026 Buf announced that CoreWeave acquired Bufstream and added it to its internal platform as part of the W&B Models and Weave product lines, while Buf continues to run the Buf Schema Registry. Buf’s Bufstream documentation pages now redirect to that announcement (read 2 October 2026), and the newest tag of the Bufstream image on Docker Hub is 0.4.15, published on 16 April 2026. For a team already running Bufstream, the tooling around it is therefore a portability decision as well as a feature decision. The broader field of Kafka tools on any distribution is in the best Kafka management tools, and the other Kafka-compatible brokers are covered in Kafka-compatible cloud brokers.
A change of owner rarely stops software running on the day, but the terms it is maintained on can change, and the users who depend most on the owner’s own additions feel that first. Fedora’s decision to replace MySQL with MariaDB is the standard example: its own feature page records that MySQL AB was bought by Sun, which was then bought by Oracle, and that Fedora moved so it would not depend on what Oracle decided to do with MySQL in the future. On Bufstream the parts that no other Kafka implementation shares are the ones Buf built on top of the protocol: broker-side validation against Protobuf schemas and writing topics straight to Iceberg tables, both described in Vu Trinh’s walkthrough of Bufstream. Each has a counterpart outside Bufstream, and the Iceberg one is the Apache Iceberg Kafka Connect sink, which writes topics to Iceberg tables from any Kafka cluster. The practical defence is to keep the option to move open even if it is never used, which in streaming means using any vendor’s protocol-level features freely and its proprietary ones knowingly; Kai Waehner’s data streaming landscape for Q3 2026 maps who controls each part of the streaming stack today. An exit-readiness check has four questions: which provider-specific features are in use, what breaks on a move, how much CI/CD tooling is tied to the provider, and whether monitoring and operations depend on the provider’s own tooling. For a financial entity in the EU it is not optional, since DORA Article 28 requires exit strategies for ICT services that support critical or important functions.
Out of the data path. Bufstream’s design is already more than one component. In Jepsen’s analysis of Bufstream 0.1.0, stateless agents serve the Kafka API, object storage such as S3 holds the records, and a coordination service establishes which chunks of records are committed. Vu Trinh’s walkthrough lists what a typical deployment needs, all inside the customer’s own cloud account: a Kubernetes cluster, object storage, and etcd, PostgreSQL, Google Cloud Spanner or Aurora as the metadata store. A tool that needs its own database adds one more stateful service to that list, and a tool whose controls work through a proxy adds a component every producer and consumer then depends on, which Kai Waehner’s review of Kafka proxies weighs against what a proxy can do that a client cannot. Kpow is one container with no external database, installed in your own environment and out of the data path. Conduktor Console also connects to Bufstream 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.
The same design moves where problems show up. On object-storage Kafka the failure modes shift from local disks to object-store request limits, cache misses and ingestion latency, which broker disk metrics do not show; the KIP-1150 proposal for diskless topics brings the same design into Apache Kafka, and KIP-1150 explained covers what changes for monitoring. A tool that computes consumer lag and throughput from the Kafka API reports them the same way on Bufstream as on any other cluster, and the object-store side belongs to the cloud provider’s own metrics.
Staying on the standard protocol is also how a tool keeps up with Bufstream’s semantics. Jepsen’s analysis found five Bufstream bugs, all fixed by version 0.1.3, and four issues in Kafka’s own protocol and clients, the most serious of which, KAFKA-17754, allows aborted reads, lost writes and torn transactions in Bufstream and in Apache Kafka itself. A tool that talks to Bufstream through the ordinary Kafka clients sees the cluster exactly as the applications do, with the same behaviour and the same fixes.
Production access on request. A shared tool connects as one principal, so the cluster’s own authorisation cannot tell the engineers working through it apart. What a team needs from the tool is access to production for one task that then expires, and an approval step before a topic deletion or an offset reset runs. Teams that let AI agents act on Kafka at all are better served sending them through the tool’s governed API, under the same roles, approvals and audit trail as people, which is how the September 2026 product update describes Kpow’s agent access. Those controls are compared across the field in Kafka RBAC tools.
Audit trail per person. A UI with no audit log leaves no record of who reset an offset, changed a configuration or produced a message, and fails change-management requirements however good the UI is; NIST’s SP 800-53 catalogue gives audit and accountability a control family of its own. Because the tool connects as one principal, any broker-side record names the tool, so the record of which person did what has to come from the tool. The options are compared in Kafka audit logging tools.
Directory and Kafka sign-in. The tool has to connect to Bufstream with whatever the cluster requires of every other client, and sign people in through the company directory. Some large organisations are moving from LDAP towards SAML or OpenID Connect through an enterprise identity platform, with current OAuth practice for browser applications set out in the IETF’s guidance for browser-based apps, so a tool that supports all three keeps working through that move.
Many teams, shared clusters. Organisations go wrong in two opposite directions: one monolithic cluster kept because it is easier, or a cluster for every team, which now that infrastructure as code and cloud consoles make a new cluster cheap can reach dozens quickly. A handful of shared clusters is the usual sensible range for a large organisation, as the cluster consolidation session describes, and Apache Kafka’s multi-tenancy documentation describes what sharing takes on the broker side. On a shared cluster each team needs its own view of its own topics, groups and connectors in the tool as well.
Bufstream and Protobuf schemas. Bufstream was built by the team behind the Buf Schema Registry, and its users mostly send Protobuf. The registry implements the same API as the Confluent Schema Registry, so it works with most Kafka clients and with management tools such as AKHQ, and Kpow names the Buf Schema Registry among the registries it supports. Two Protobuf details matter in practice. Producing test data through a tool that fetches the registered schema and serialises against it keeps malformed records out of a topic, which is how NORD/LB cut incidents caused by bad schemas, as its case study describes. And custom serialisers that contain generated Protobuf classes share the tool’s Protobuf library, so a major library change such as Protobuf’s move to version 4 means regenerating them, which Kpow’s note on custom SerDes and Protobuf 4.31.1 announced ahead of the release. Registry tooling on any distribution is compared in Kafka schema registry tools.
No tool here leads on every point: Kpow does not manage Bufstream’s object storage, metadata store or Iceberg settings, its Bufstream documentation is a local quickstart, and Lenses has the stronger query model with SQL over topics. Kpow governs people working through Kpow, so applications keep their own principals and the cluster’s own authorisation stays the control for them.
Who runs Kpow on Bufstream
No Kpow customer has published an account of running Kpow on Bufstream yet. The public record of the pairing is Factor House’s own: the Bufstream provider page in the Kpow documentation, Bufstream on the tested-compatible list beside Apache Kafka, Amazon MSK, Confluent and Redpanda, the Buf Schema Registry on the schema registry page, and the Kpow and Bufstream integration guide. Factor House does not modify or extend Kafka and sells no Kafka distribution, so Kpow behaves the same way on any distribution or managed service, as discussed on the Behind the Stream podcast. For customer accounts of Kpow on other Kafka platforms, the self-managed Apache Kafka page carries Gmarket and Claritev, and the Amazon MSK page carries Belong.
How a team runs Bufstream with Kpow
Installing it beside the cluster. A typical Bufstream deployment runs on Kubernetes, so the natural place for Kpow is the same cluster, installed with the Helm charts; it also runs as one Docker container or Java JAR. It needs no external database, because its snapshots, metrics and audit log live in topics on the cluster itself, which on Bufstream means in the same object storage as the team’s own topics. The integration guide starts an in-memory Bufstream broker and Kpow in Docker in three commands.
Connecting to the brokers and the registry. Kpow connects to Bufstream’s Kafka API with the same cluster settings as any Kafka producer or consumer. The Buf Schema Registry is added with SCHEMA_REGISTRY_URL set to its Confluent-compatible endpoint, and a registry that requires credentials takes them through SCHEMA_REGISTRY_AUTH, SCHEMA_REGISTRY_USER and SCHEMA_REGISTRY_PASSWORD (schema registry configuration). Data inspect then decodes Protobuf records with the registry’s Protobuf SerDes, and engineers filter them across topics with kJQ. Data produce writes test records with the same SerDes.
Signing people in. Engineers sign in to Kpow through Okta, Microsoft Entra ID or another identity provider over SAML or OpenID Connect, or through LDAP, so access follows the company directory rather than a shared cluster credential.
Giving teams their own view of a shared cluster. Tenants limit which topics, groups and connectors each role can see, and RBAC sets Allow, Deny or Stage per action and resource. Kafka ACLs on the cluster are viewed and managed from the ACLs view, with each change recorded in the audit log.
Granting production access for one task. A temporary policy grants a role, such as the on-call engineers’ role, inspect access on a production topic for a set time and then expires, and staged mutations hold a topic deletion or an offset reset until an administrator approves it. Data policies mask sensitive fields in data inspect results on the server.
Watching lag and running Connect. Kpow shows each consumer group down to partition level and resets, clears or skips offsets from the same view, and exports group lag with topic metrics to Prometheus, beside the object-store and metadata-store metrics from the cloud provider. Kafka Connect clusters run beside Bufstream, such as one running the Iceberg sink, are managed through the Connect REST API.
Keeping the record. The audit log records each action, data inspect queries included, with the user from the identity provider, and a webhook sends those records to Slack, Microsoft Teams or any HTTP endpoint, such as a SIEM collector.
Moving a topic off Bufstream. One Kpow instance manages up to 12 clusters, so a Bufstream cluster and the cluster a team is moving to sit in the same view, under the same roles and audit log. Before a topic moves, every producer and consumer of it has to be found, because the one that was missed is the outage, a point made in the cluster consolidation session; the consumer groups view lists who reads each topic on both clusters while the move runs.
Kpow live demo
See the Kpow UI before you connect Bufstream
The live Kpow demo runs on two Apache Kafka clusters on Amazon MSK, not on Bufstream. It shows the views a team gets on Bufstream too: brokers, topics, consumer groups, schema registries and the __oprtr_audit_log topic where Kpow keeps its audit trail, with no signup. Connecting your own Bufstream cluster is the step to try next.
For platform teams choosing a Kafka tool for Bufstream.
Try the Kpow demoFAQ
What is the best Kafka UI for Bufstream?
On this page’s rubric, Kpow, with 89 of 100 points: it connects to Bufstream as an ordinary Kafka client, reads Protobuf records through the Buf Schema Registry’s Confluent-compatible API, adds time-boxed production access, approvals, masking, tenants and an audit trail that names each person, and runs as one container beside the cluster with no external database. Kafbat UI is the highest-scoring free option.
Does Kpow support Bufstream?
Yes. Bufstream is on the list of platforms Kpow has been tested with, with its own provider page, and the Kpow features page lists Bufstream among the supported Kafka platforms. The provider page is a local quickstart; authentication to production brokers and registries uses the general cluster and registry settings.
Does Kpow work with the Buf Schema Registry?
Yes. Kpow’s schema registry documentation names the Buf Schema Registry among the provider-specific registries it supports, and connects to it through its Confluent-compatible endpoint with SCHEMA_REGISTRY_URL. Protobuf records then decode in data inspect.
What happened to Bufstream?
Buf announced on 8 May 2026 that CoreWeave acquired Bufstream and added it to its internal platform as part of the W&B Models and Weave product lines. Buf continues to operate independently, focused on the Buf Schema Registry, Protobuf tooling and its open-source projects. Buf’s Bufstream documentation pages now redirect to that announcement (read 2 October 2026).
Will a Kafka UI chosen for Bufstream keep working after a move to another Kafka platform?
A tool that connects only through the standard Kafka API carries over unchanged, because the same bootstrap and client settings work on Apache Kafka and every Kafka-compatible service. That is true of every client-side tool on this page, Kpow included. Kpow is tested with Apache Kafka, Amazon MSK, Confluent, Redpanda, Aiven, Instaclustr and others, and one instance can hold the old and new clusters in one view during the move.
Does a Kafka UI need to sit in the data path to govern access on Bufstream?
No. Kpow runs as one container, connects to Bufstream like any Kafka client and applies roles, masking, approvals and the audit trail to the people working through it, so producers and consumers keep connecting straight to Bufstream’s agents. Conduktor Console also connects directly, while Conduktor’s data-level controls run in Gateway, a Kafka proxy that client applications connect through.
Is there a free Kafka UI for Bufstream?
Kpow Community Edition is free on up to 3 clusters and 10 users and lists Bufstream among its supported platforms. Kafbat UI and AKHQ are open source. RBAC, masking, staged approvals and the audit log need Kpow Enterprise. More free options are compared in the best free Kafka UI tools.
How these tools were scored
Five of the six criteria are the ones Factor House scores on every page for teams that share a Kafka cluster; the sixth is Bufstream with its Protobuf schemas. 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 Bufstream over the same private network your applications use as an ordinary Kafka 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 or an agent per cluster 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 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 Bufstream with the same SASL or TLS settings as any Kafka client.
5. Many teams, shared clusters (counts once). Whether each team can be given its own view of its own topics, consumer groups and connectors on a shared cluster, and whether one deployment reaches several clusters.
6. Bufstream and Protobuf schemas (counts once). Whether the tool’s own documentation, or Buf’s, covers Bufstream or the Buf Schema Registry, and whether the tool decodes Protobuf records through a Confluent-compatible registry. A tool that can work through the standard API but is documented nowhere for Bufstream scores 5.
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. 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.
The criteria map onto Bufstream’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, Many teams, shared clusters counts once and Bufstream and Protobuf schemas counts once, for a total out of 100. Out of the data path counts three times. Bufstream already asks a team to run agents, object storage and a metadata store, a tool that needs a database of its own or a proxy that clients connect through adds one more stateful component to that list, and a tool that depends on nothing but the Kafka protocol carries over unchanged if the team later moves off Bufstream. Production access on request and the per-person audit trail count twice, because they decide whether a shared tool can be pointed at production at all: who could read or change it, and who actually did. Directory sign-in, shared clusters, and Bufstream with its Protobuf schemas 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 89 out of 100. The other options follow by total. Conduktor is listed last whatever its total; on its total of 56 it would place fourth.