The best Kafka UI tool for Azure Event Hubs is one that connects to the namespace’s Kafka endpoint as an ordinary client, shows the Kafka consumer groups and lag that the Azure portal does not, lets an engineer into production for a set task and holds risky changes for approval, keeps an audit trail that names each person rather than the shared access policy the tool connects with, and runs as one container beside the applications, out of the data path. Kpow, the Azure portal with Azure Monitor, 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 87 out of 100, ahead of the Azure portal and Azure Monitor at 70 and Kafbat UI at 67; 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 | Event Hubs Kafka endpoint fit | Cost a year, one namespace (modelled) |
|---|---|---|---|---|---|---|---|---|---|
| 1 | Kpow | 87 | 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 | Release 70 connection; no current Event Hubs docs | $7,380 |
| 2 | Azure portal and Azure Monitor | 70 | Nothing to deploy | Azure roles; time-bound activation through Entra PIM | Activity log; data-plane logs aggregated, Premium and Dedicated | Microsoft Entra ID | Roles per namespace or event hub | Native; no Kafka consumer groups, no keys in Data Explorer | $11,520 |
| 3 | Kafbat UI | 67 | One container | Read-only clusters, no approvals | Opt-in log, no view in the product | OAuth2, OIDC, LDAP | Roles per resource | README claims full support; no setup page | $8,640 |
| 4 | AKHQ | 57 | One container | Group roles, no approvals | Opt-in topic, no reads | LDAP, OIDC | Regex groups | Kafka API, no Event Hubs guide | $8,640 |
| 5 | Lenses | 55 | HQ on PostgreSQL plus an agent per cluster | Global masking, no approvals | In-product audit log | SSO from Team tier | Group roles | Own Event Hubs setup page | $6,880 for 15 users; custom above |
| 6 | 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non-Redpanda brokers | OIDC (Enterprise) | One cluster per deployment | Kafka API, no Event Hubs guide | $8,640 plus an unpublished licence for sign-in and RBAC |
| 7 | 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 Event Hubs undocumented | $32,880; $122,880 with Gateway Core and Protect |
The tools, ranked for Azure Event Hubs
Rank 1 Kpow
87 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 namespace (modelled)
- On Event Hubs
- Connection added in release 70 (2021); no current Event Hubs docs page; some disk metrics unavailable
- 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
- Event Hubs Kafka endpoint fit
- 6 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 the cluster it manages, and it connects to the Event Hubs Kafka endpoint as an ordinary Kafka client, so nothing sits between your applications and the namespace.
- 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, including Microsoft Entra ID over SAML, and Kpow connects to the Kafka endpoint with the same SASL 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.
- Event Hubs Kafka endpoint fit 6 out of 10
- Kpow release 70 added an Azure Event Hubs connection and the Kpow image description on Docker Hub notes that some disk metrics and telemetry are not available on Event Hubs, but the current Kpow documentation has no Event Hubs page and does not name it among tested platforms, so the documented route is the general Kafka client settings and the fit is for a trial on your tier to confirm.
On Event Hubs. Kpow release 70, in March 2021, added a connection to Event Hubs namespaces with the Kafka endpoint enabled, and the Kpow image on Docker Hub lists Azure Event Hubs with a footnote that some disk related metrics and telemetry are not available. The current Kafka cluster documentation does not list Event Hubs among the platforms Kpow has been tested with, and there is no Event Hubs provider page, so a connection uses the general SECURITY_PROTOCOL, SASL_MECHANISM and SASL_JAAS_CONFIG settings that any Kafka client takes.
Where it falls short. Kpow works through the Kafka API and does not manage anything specific to Event Hubs, such as namespaces, throughput or processing units, Capture or geo-disaster recovery, which stay in the Azure portal. Its schema registry documentation lists Confluent-compatible registries and provider registries from AWS, Google, Redpanda and Buf, not the Azure Schema Registry. Factor House publishes no Event Hubs guide today, so what each tier shows is for a trial to confirm. Kpow governs people working through Kpow, so applications keep their own credentials. 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 Lenses
Rank 2 Azure portal and Azure Monitor
azure.microsoft.com
70 out of 100 Total
- Cost a year
- $0 licence and nothing to run; Kafka consumer groups and record keys fall to the Kafka CLI or client code, modelled at 8 hours a month, $11,520 (modelled)
- On Event Hubs
- Microsoft's own management plane, with Data Explorer for viewing events
- Sign-in
- Microsoft Entra ID
- Out of the data path ×3 weight, this criterion counts 3 times toward the total
- 10 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
- 4 out of 10
- Directory and Kafka sign-in
- 8 out of 10
- Many teams, shared clusters
- 5 out of 10
- Event Hubs Kafka endpoint fit
- 7 out of 10
Why these scores for Azure portal and Azure Monitor
- Out of the data path 10 out of 10
- There is nothing to deploy and nothing between clients and the namespace, since the portal is Azure’s own management plane, so it is the best on this criterion.
- Production access on request 6 out of 10
- Azure roles such as Event Hubs Data Receiver can be scoped to a namespace or one event hub, and Entra Privileged Identity Management can make a role time-bound and approval-gated under its own licence, but there is no masking and no hold on a single change.
- Audit trail per person 4 out of 10
- The activity log records management operations with the caller, but runtime audit logs for data-plane access are aggregated and available only on the Premium and Dedicated tiers, so there is no per-person record of reads on Standard.
- Directory and Kafka sign-in 8 out of 10
- People sign in with Microsoft Entra ID, and Kafka clients authenticate with Entra OAuth or shared access signatures, but people sign in through Entra only.
- Many teams, shared clusters 5 out of 10
- Role assignments scope access per namespace or event hub, but Kafka consumer groups are not shown in the portal, so a team cannot see its own groups there.
- Event Hubs Kafka endpoint fit 7 out of 10
- It is Microsoft’s interface for namespaces, capacity, Capture, Schema Registry and geo-disaster recovery, held below 8 because Kafka consumer groups are not viewable in it and Data Explorer shows event values without keys.
What it covers. The portal creates namespaces and event hubs, sets throughput and processing units, and configures Capture, private networking and geo-disaster recovery. Event Hubs Data Explorer sends test events and views events from a chosen partition, consumer group and position, with the operations available set by the user’s Azure role. Azure Monitor collects namespace metrics, and on Premium and Dedicated the application metrics logs add a ConsumerLag measure.
Where it falls short. Microsoft’s Kafka FAQ for Event Hubs says Kafka consumer groups are not viewable in the Azure portal and are reached through the Kafka APIs, so lag and offsets for Kafka consumers need another tool. Data Explorer shows event payloads sent over the Kafka protocol but not their keys, and Microsoft advises against it for larger messages. There is no masking, no approval on a single change, and runtime audit logs are aggregated and limited to Premium and Dedicated.
Compare Kafka-compatible cloud brokers
Rank 3 Kafbat UI
67 out of 100 Total
- Cost a year
- $0 licence, about $8,640 in operator time (modelled)
- On Event Hubs
- README states full support for Azure Event Hubs and Azure IAM; no setup page 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
- Many teams, shared clusters
- 6 out of 10
- Event Hubs Kafka endpoint fit
- 7 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.
- Event Hubs Kafka endpoint fit 7 out of 10
- Its README states full support for Azure Event Hubs and integration with Azure IAM, an explicit current claim, held at 7 because its documentation has no Event Hubs setup page.
On Event Hubs. The Kafbat UI README lists Azure Event Hubs among the managed Kafka services it fully supports and names Azure IAM among its cloud identity integrations. 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 4 AKHQ
57 out of 100 Total
- Cost a year
- $0 licence, about $8,640 in operator time (modelled)
- On Event Hubs
- Standard Kafka connection; no Event Hubs guide
- 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
- Event Hubs Kafka endpoint fit
- 5 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.
- Event Hubs Kafka endpoint fit 5 out of 10
- It can reach the Event Hubs Kafka endpoint with ordinary client properties like any Kafka cluster, but publishes no Event Hubs guidance, so the fit is yours to verify.
On Event Hubs. AKHQ connects to a Kafka-compatible endpoint as a named connection with ordinary client properties, which for Event Hubs means the namespace’s bootstrap address on port 9093 and SASL over TLS. 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
55 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 Event Hubs
- Own setup page for Azure Event Hubs, 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
- Event Hubs Kafka endpoint fit
- 8 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.
- Event Hubs Kafka endpoint fit 8 out of 10
- Its agent documentation has a dedicated Azure Event Hubs page that walks through a shared access policy and the namespace’s connection string, a clean documented pass.
On Event Hubs. Lenses connects to Event Hubs through an agent beside the namespace. Its Event Hubs setup page has the user create a shared access policy with Manage, Send and Listen rights and pass the policy’s connection string to the agent as the SASL password. 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 to a managed service the team chose so it would host nothing. 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
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
- Event Hubs Kafka endpoint fit
- 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 Event Hubs 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.
- Event Hubs Kafka endpoint fit 5 out of 10
- It reaches the Event Hubs Kafka endpoint like any Kafka cluster, with no Event Hubs guidance of its own.
On Event Hubs. 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 service 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 Event Hubs no licence gives Console a record of who did what. Each deployment reaches one broker cluster.
Rank 7 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 Event Hubs
- Any Kafka 2.5 or later; no Event Hubs 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
- Event Hubs Kafka endpoint fit
- 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.
- Event Hubs Kafka endpoint fit 5 out of 10
- Conduktor states that Console works with any Kafka 2.5 or later and describes nothing specific to Event Hubs; whether Gateway works in front of an Event Hubs namespace is not documented.
On Event Hubs. 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 Event Hubs 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 would put a self-hosted proxy in front of a managed service. 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 Azure Event Hubs (Kafka endpoint) need
This page is about tools that sit beside an Event Hubs namespace whose applications use its Kafka endpoint: a UI for reading topics, managing consumer groups and governing who does what. The endpoint is available on the Standard, Premium and Dedicated tiers and accepts Kafka clients from version 1.0, according to Microsoft’s overview of Apache Kafka support in Event Hubs. The broader field of Kafka tools on any distribution is in the best Kafka management tools, and the other Kafka-compatible services are covered in Kafka-compatible cloud brokers.
The first thing a buyer should know is that Event Hubs is not Apache Kafka underneath. Microsoft’s Kafka FAQ for Event Hubs says the service runs no Apache Kafka code and implements the Kafka protocol for the clients’ producer and consumer APIs. A management tool leans on more of the protocol than an application does, through the admin requests that list topics, describe configurations and read group offsets, so on any Kafka-compatible service the reliable test of a tool is a trial on the tier the team runs. The tiers differ in more than size: Microsoft’s tier comparison describes Standard as multitenant, Premium as multitenant with resource isolation and Dedicated as an exclusive single-tenant cluster, with a largest publication of 1 MB on Standard and Premium and 20 MB on Dedicated. A tool that produces test records has to respect the same ceiling, which the Kafka message size guide sets beside other managed services.
The same design changes which views a tool can fill. Event Hubs gives each namespace one stable endpoint, so clients never address individual brokers, as Microsoft’s overview explains, and the broker and disk figures that a tool reads from an Apache Kafka cluster mean less or are missing: the Kpow image description on Docker Hub notes that some disk related metrics and telemetry are not available on Event Hubs, as on Confluent Cloud. What a Kafka tool can still compute the same way it does anywhere else is topic throughput, consumer group offsets and lag, because those come from the Kafka API rather than from broker hosts.
Out of the data path. Teams choose Event Hubs so that there is no broker, disk or ZooKeeper to look after. A tool that needs its own database brings a stateful service back into that picture, and a tool whose controls work through a proxy puts a self-hosted hop, which every producer and consumer then depends on, in front of a service the team chose not to host. Kpow is one container with no external database, installed in your own environment and out of the data path. Conduktor Console also connects to Event Hubs 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.
Production access on request. Every tool reaches Event Hubs with one credential: a shared access policy’s connection string or one Microsoft Entra identity. Microsoft’s shared access signature guide says a namespace-level policy applies to every event hub in the namespace, that the Manage right includes Send and Listen, and that the RootManageSharedAccessKey policy created with each namespace should be treated like an administrative root account and kept out of applications. Whatever the tool connects with, every person using it acts with those rights, so the controls that tell people apart have to be in the tool: access to production for one task that then expires, and an approval step before a topic deletion or an offset reset runs. Those controls are compared across the field in Kafka RBAC tools.
Audit trail per person. Azure’s own records do not answer who read what through a shared tool. Microsoft’s Event Hubs monitoring reference describes runtime audit logs as aggregated diagnostic information on data-plane operations such as sending and receiving, available only on the Premium and Dedicated tiers, and the access they record belongs to the tool’s credential, not to the engineer behind it. The record of which person inspected a topic, reset an offset or produced a message has to come from the tool. The options are compared in Kafka audit logging tools.
Directory and Kafka sign-in. Organisations on Azure usually already run Microsoft Entra ID, so the tool should sign people in through it, over SAML or OpenID Connect. On the Kafka side Microsoft supports both OAuth 2.0 through Entra ID and shared access signatures, and recommends Entra ID where possible; its OAuth samples for Kafka clients plug in a login callback handler class written for Event Hubs. Kpow’s cluster settings take a SASL_LOGIN_CALLBACK_HANDLER_CLASS like any Kafka client, but Factor House documents no Event Hubs OAuth setup, so the simplest route on both sides is a narrowly scoped shared access policy for the tool. The broader comparison is in Kafka SSO tools.
Many teams, shared clusters. A namespace is the unit most teams share on Event Hubs, and Microsoft’s tier comparison allows up to 1,000 Kafka consumer groups per namespace on Standard, Premium and Dedicated. The FAQ adds a detail that decides the choice of tool: Kafka consumer groups are separate from Event Hubs consumer groups, are not viewable in the Azure portal, and are reached through the Kafka APIs. Microsoft’s Data Explorer guide also notes that the portal shows the values of events sent over the Kafka protocol but not their keys. On a shared namespace each team needs its own view of its own topics and groups, with lag, in a tool that speaks Kafka; how lag is read and alerted on is covered in Kafka consumer lag monitoring tools.
Event Hubs Kafka endpoint fit. Fit here means two things: what each tool’s own documentation says about Event Hubs, and how it handles the parts of the service that are not Kafka. Schemas are the main one. Microsoft’s Azure Schema Registry quickstart for Kafka has Kafka producers and consumers use Microsoft’s own Avro serializers from its Azure Schema Registry for Kafka repository, while Kpow’s schema registry documentation lists Confluent-compatible registries and registries from AWS, Google, Redpanda and Buf, without Azure’s. Kpow reads formats it does not decode natively through custom SerDes; whether Microsoft’s deserializer works as one is a question for the trial. Registry tooling on any distribution is compared in Kafka schema registry tools.
No tool here leads on every point: Kpow does not manage namespaces, capacity, Capture or geo-disaster recovery, its Event Hubs record is a 2021 release note and a Docker Hub footnote rather than a current docs page, and Lenses publishes its own Event Hubs setup guide. Kpow governs people working through Kpow, so applications keep their own credentials and Azure’s own authorisation stays the control for them.
Who runs Kpow on Azure Event Hubs (Kafka endpoint)
No Kpow customer has published an account of running Kpow on Azure Event Hubs. The public record of the pairing is Factor House’s own: Kpow release 70, which added an Event Hubs connection in March 2021, and the Kpow image description on Docker Hub, which lists Event Hubs with its disk metrics footnote. The current documentation has no Event Hubs page, and this page does not describe the pairing as more than that. 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. Teams that run Event Hubs beside Apache Kafka clusters elsewhere can hold both in one Kpow instance, under the same roles and audit log.
How a team runs Azure Event Hubs (Kafka endpoint) with Kpow
Installing it beside the applications. Kpow runs as one Docker container, a Java JAR, or on Kubernetes such as Azure Kubernetes Service with the Helm charts. It needs no external database, because its snapshots, metrics and audit log live in topics on the cluster it manages.
Connecting to the Kafka endpoint. Kpow connects with the same cluster settings as any Kafka producer or consumer: BOOTSTRAP set to the namespace’s address on port 9093, SECURITY_PROTOCOL set to SASL_SSL, SASL_MECHANISM set to PLAIN, and SASL_JAAS_CONFIG carrying the connection string of a shared access policy, which is how Microsoft’s overview describes connecting any Kafka client. Microsoft’s advice to keep the RootManageSharedAccessKey policy out of applications applies to tools as well, so Kpow gets a policy of its own, which also makes it possible to revoke Kpow’s access without touching any application.
Signing people in. Engineers sign in to Kpow through Microsoft Entra ID over SAML, or another identity provider over OpenID Connect, or through LDAP, so access follows the company directory rather than the connection string.
Giving teams their own view of a shared namespace. Tenants limit which topics and groups each role can see, and RBAC sets Allow, Deny or Stage per action and resource. Azure role assignments and shared access policies stay the control for applications.
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 Kafka consumer groups. Because the Azure portal does not show Kafka consumer groups, Kpow’s consumer groups view is where a team sees each group down to partition level, and resets, clears or skips offsets from the same view. Group lag and topic metrics export to Prometheus, beside the namespace metrics in Azure Monitor. Data inspect reads records with their keys, filtered across topics with kJQ.
Keeping the record. The audit log records each action, data inspect queries included, with the user from the identity provider, on every tier, and a webhook sends those records to Slack, Microsoft Teams or any HTTP endpoint, such as a SIEM collector.
Kpow live demo
See the Kpow UI before you connect Event Hubs
The live Kpow demo runs on two Apache Kafka clusters on Amazon MSK, not on Azure Event Hubs. It shows the views a team works in on any Kafka endpoint: topics, consumer groups and their lag, data inspect and the __oprtr_audit_log topic where Kpow keeps its audit trail, with no signup. Connecting your own Event Hubs namespace, on the tier you run, is the step to try next.
For platform teams choosing a Kafka tool for Azure Event Hubs.
Try the Kpow demoFAQ
What is the best Kafka UI for Azure Event Hubs?
On this page’s rubric, Kpow, with 87 of 100 points: it connects to the Event Hubs Kafka endpoint as an ordinary Kafka client, shows the Kafka consumer groups the Azure portal does not, adds time-boxed production access, approvals, masking, tenants and an audit trail that names each person, and runs as one container with no external database. The Azure portal stays the place to manage namespaces and capacity, and Kafbat UI is the highest-scoring free option.
Does Kpow work with Azure Event Hubs?
Kpow connects to the Event Hubs Kafka endpoint as a Kafka client. Release 70 added an Event Hubs connection in 2021, and the Kpow image on Docker Hub notes that some disk metrics are not available there. The current Kpow documentation has no Event Hubs page and does not list Event Hubs among tested platforms, so the connection uses the general Kafka cluster settings, and a trial on the tier you run is the way to confirm each view.
Why are Kafka consumer groups missing from the Azure portal?
Microsoft’s Kafka FAQ for Event Hubs says Kafka consumer groups are separate from Event Hubs consumer groups, are not viewable in the Azure portal, and are reached through the Kafka APIs. A Kafka tool such as Kpow, Kafbat UI or AKHQ lists them with their offsets and lag. On Premium and Dedicated, Azure Monitor’s application metrics logs also carry a ConsumerLag measure.
Does Azure keep an audit log of who read an event hub?
Runtime audit logs capture aggregated information on data-plane operations such as sending and receiving, and Microsoft’s monitoring reference says they are available only on the Premium and Dedicated tiers. Access through a shared tool is recorded against the tool’s credential, so a record that names each engineer has to come from the tool itself.
Does a Kafka UI need to sit in the data path to govern access on Event Hubs?
No. Kpow runs as one container, connects to the Kafka endpoint 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 Event Hubs. 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 Azure Event Hubs?
Kpow Community Edition is free on up to 3 clusters and 10 users. Kafbat UI and AKHQ are open source, and the Azure portal’s Data Explorer is included with the service. 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 fit with the Event Hubs Kafka endpoint. 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 Event Hubs over the same 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, which here is the Azure portal. 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 the Kafka endpoint with the same SASL 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 and consumer groups on a shared namespace, and whether one deployment reaches several clusters.
6. Event Hubs Kafka endpoint fit (counts once). Whether the tool’s own documentation covers Event Hubs, and how much of the service it shows. A tool with its own Event Hubs setup guide scores 8; an explicit current statement of Event Hubs support without a guide 7; a release note or image footnote with no current documentation page 6; a tool that can work through the standard Kafka API but is documented nowhere for Event Hubs 5. The Azure portal scores 7: it is the native management plane, held below 8 because it does not show Kafka consumer groups or record keys.
Costs are modelled for one production namespace 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. The Azure portal has no licence and nothing to run, but reading Kafka consumer groups and record keys falls to the Kafka CLI or client code, modelled at 8 hours a month, $11,520 a year; Entra Privileged Identity Management is licensed separately and not modelled, and Event Hubs’ own charges are the same whichever tool is chosen. 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 Event Hubs’ behaviour 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 Event Hubs Kafka endpoint fit counts once, for a total out of 100. Out of the data path counts three times. Event Hubs is a managed service with nothing for the customer to host, so a tool that needs a database of its own or a proxy that clients connect through brings back exactly the kind of stateful component the team chose Event Hubs to avoid. Production access on request and the per-person audit trail count twice, because every tool reaches Event Hubs through one shared access policy or one Entra identity, so who could read or change data, and who actually did, has to be answered by the tool. Directory sign-in, shared namespaces, and fit with the Event Hubs Kafka endpoint 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 87 out of 100. The other options follow by total. Conduktor is listed last whatever its total; on its total of 56 it would place fifth.