At a glance
Kafdrop scores 27 out of 90 on this page's five weighted criteria: it takes its best score on Cost as teams grow (10 out of 10) and its lowest on Access control and audit (0 out of 10). The rubric is weighted: Support and maintenance counts three times, Access control and audit counts three times, and Cost as teams grow, Deployment footprint and Multi-cluster reach count once. Cost a year, 3 clusters: $0 Apache 2.0, about $11,520 to run. The other options, in the order this page lists them: Kpow by Factor House 82, Kafbat UI 60, AKHQ 57, Redpanda Console (formerly Kowl) 55, Lenses 52, each out of 90. Kpow by Factor House takes its best score on Access control and audit (10 out of 10) and its lowest on Cost as teams grow (7 out of 10). Cost a year, 3 clusters: About $16,380, licence and run time.
Key takeaways
- Kafdrop is a free, open-source Kafka UI built on Spring Boot, used most often for local development and simple single-cluster setups.
- It has no built-in authentication or access control; any internet-facing deployment requires an external auth proxy or gateway.
- KRaft mode (the default Kafka cluster mode since Kafka 3.3) is not supported, and the maintainers closed the request as “not planned.”
- Performance degrades sharply at scale: one reported case took over 30 minutes to load topic and partition data for a cluster with roughly 1,000 topics.
- If you need RBAC, reliable performance at scale, or a supported product with a maintained roadmap, Kpow from Factor House is a commercial alternative worth evaluating.
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Try the Kpow demoWhat is Kafdrop?
Kafdrop is an open-source web UI for Apache Kafka, built on the Spring Boot framework. It provides a browser-based interface for browsing topics, viewing partition state, inspecting messages, and performing basic topic administration such as creating and deleting topics.
The project is hosted at obsidiandynamics/kafdrop on GitHub and maintained by the Obsidian Dynamics team. It is widely cited as one of the easiest Kafka UIs to deploy in a local Docker Compose environment, which explains its prevalence in tutorials and development workflows.
Kafdrop runs as a stateless Java process and connects to a Kafka cluster over standard broker protocols. It does not require a separate backend datastore, which keeps the local setup minimal.
Kafdrop review
Functionalities
Kafdrop covers the fundamentals: topic browsing, partition inspection, and message viewing. Developer cnatsis, in a monitoring tools evaluation thread on r/apachekafka, classifies it as a “Topic Administration tool” used specifically to “create/edit/delete topics & view messages.”
The feature set beyond those basics is limited. Kafdrop does not support searching or filtering messages within a topic by key or value content. Developer felheartx, in a comparative analysis on r/devops, describes this gap directly: “Kafdrop doesn’t offer the ability to search for specific messages within a topic (e.g. filter by a provided javascript expression, or find a message where the key equals a specific string).”
Message encoding is not auto-detected either. Users must manually configure the deserialization format per topic; newer tools handle this automatically, whereas Kafdrop “requires the user to actively configure that,” as felheartx notes in the same thread.
Performance is a documented constraint at scale. GitHub issue #270 (obsidiandynamics/kafdrop) records a case where Kafdrop took over 30 minutes to load topic and partition information when connected to an SSL-enabled Kafka broker with approximately 1,010 topics and 2,000 partitions.
In published comparisons, Kafdrop sits below richer alternatives. Duc Quoc, writing for Towards Data Science, characterises Kafdrop as “a pretty average tool” with an interface that “is not spectacular,” and recommends Kafka-UI for teams with more complex operational needs.
Deployment and operations
Kafdrop is consistently praised for being lightweight and fast to deploy. On r/dotnet, developer DotDeveloper describes it as “super lightweight and easy to spin up if you just want to see what’s flowing through your topics.” On r/apachekafka, johannz adds: “It’s not a full management tool but it’s quick and easy to troubleshoot issues with.”
It runs comfortably alongside a standard local Kafka stack with minimal resource overhead. One engineer on r/dataengineering reported running four Docker containers (orchestrator, Kafka, Zookeeper, and Kafdrop) on an Apple M2 MacBook Air with 24 GB RAM alongside active editors and remote desktops without resource issues.
One friction point for Kubernetes teams: Kafdrop’s Helm chart source code is available in the repository, but it is not hosted in any official Helm repository. Teams cannot install it via a standard helm repo add / helm install workflow. The Pi Cluster open-source project documents this gap explicitly and deploys Kafdrop using Kustomize as a workaround.
Access control and security
Kafdrop has no built-in authentication or access control. Developer felheartx, in the r/devops comparative analysis, states that Kafdrop “doesn’t have an authentication & authorization concept (user is in charge of protecting the webapp using third party tools…).”
A Help Net Security article from December 2021 describes the consequence plainly: Kafdrop provides “a UI to make it easy to review live Kafka clusters, without authentication.” An internet-facing instance exposes full cluster visibility with no login barrier.
The Pi Cluster open-source project, which deploys Kafdrop in a production-adjacent Kubernetes environment, confirms that this remains true: their implementation relies on an external gateway (Envoy Gateway) to enforce security policy, since Kafdrop provides no user management natively.
Connecting Kafdrop to a SASL-secured broker is also a friction point. On r/apachekafka, user Youth-Character describes the experience: “i was using kafdrop with kafka and it was working fine but when i added sasl authentication i can’t seem to find any docs on how to integrate kafdrop.” The workaround requires manually mapping external .properties files inside the Docker container.
Native RBAC and SSO support are not available.
For teams in regulated industries and enterprise environments that need these controls, Factor House documents them for Kpow: role-based access control at global and resource level, SSO through any LDAP, SAML or OAuth2 provider, server-side data masking policies for PII, and an audit log of every action across every cluster. Kpow runs as a single container that can be self-hosted, including inside an air-gapped network.
User interface
The UI is functional within its intended scope. For a quick look at a single cluster, it loads and navigates without friction.
Practitioners who need more describe it as minimal rather than polished. Duc Quoc’s Towards Data Science review positions Kafdrop as suitable for teams wanting “a quick visual view of a simple cluster, not for teams that need rich operational tooling or daily-driver UI features.” No strong positive characterisation of the UI surface surfaced in the sources reviewed; neutral-to-adequate is the dominant register.
Kafdrop’s visualisation can also surface symptoms without providing context for root cause analysis. One developer on r/dataengineering described observing all messages routing to a single partition in Kafdrop, where the tool had no mechanism to indicate that the root cause was a producer-side key-hashing configuration rather than a broker or UI failure.
Ecosystem
Kafdrop does not natively support AWS IAM MSK authentication. A community workaround exists via environment variables (KAFKA_IAM_ENABLED, KAFKA_SASL_MECHANISM=AWS_MSK_IAM) for connecting to IAM-authenticated MSK clusters on EKS using IRSA. The underlying pull request (PR #287, obsidiandynamics/kafdrop) remained open with unresolved merge conflicts for over a year. A collaborator stated willingness to merge the contribution but the conflicts were never resolved, indicating slow responsiveness to cloud-integration work from the community.
KRaft mode (ZooKeeper-free Kafka, the default from Kafka 3.3 onward) is not supported. The topic view becomes unresponsive when connecting to a KRaft cluster. GitHub issue #670 (obsidiandynamics/kafdrop) was closed as “not planned,” meaning there is no committed roadmap to address this incompatibility.
Customer support
Kafdrop is an open-source project with no enterprise support tier, no dedicated community forum, and no documented support channel beyond GitHub issues.
Maintainer responsiveness appears slow based on the available evidence. PR #287 (AWS MSK IAM support) sat open with unresolved conflicts for more than a year without a resolution. Issue #670 (KRaft support) was closed as “not planned” rather than addressed. Both cases suggest the project is not actively expanding its compatibility surface or cloud integration story.
For a tool used primarily in local development environments, this may be acceptable. For teams that need timely fixes or cloud-integration support from a maintained codebase, the absence of any supported tier is a genuine constraint.
Best for
Kafdrop suits individual engineers and small teams who need a zero-cost, fast-to-deploy visual layer over a single Kafka cluster in a local or sandbox environment. It fits naturally into Docker Compose development stacks, where it can be added as a container without meaningful resource overhead and removed just as easily.
It is a poor fit for:
- Teams running KRaft-mode Kafka clusters (Kafka 3.3+ default): the incompatibility is known and closed as not planned.
- AWS MSK deployments using IAM authentication: native support does not exist; the community workaround is unofficially maintained.
- Any team needing authentication, RBAC, or SSO: none of these are available natively, and layering them in requires platform engineering overhead.
- Large clusters with 1,000+ topics and SSL: severe performance degradation is documented.
- Multi-cluster management: not supported.
27 out of 90 Total
- Cost a year, 3 clusters
- $0 Apache 2.0, about $11,520 to run
- Authentication
- None in the product
- KRaft
- Unsupported, issue #670 closed as not planned
- Cost as teams grow
- 10 out of 10
- Deployment footprint
- 10 out of 10
- Support and maintenance ×3 weight, this criterion counts 3 times toward the total
- 2 out of 10
- Access control and audit ×3 weight, this criterion counts 3 times toward the total
- 0 out of 10
- Multi-cluster reach
- 1 out of 10
Why these scores for Kafdrop
- Cost as teams grow 10 out of 10
- This page has it free and open source under Apache 2.0, with no licensing fees, subscription plans or commercial editions, and a single tier. The card carries this page’s run-cost estimate of about $11,520 a year, 8 engineer-hours a month at $120 an engineer-hour across three clusters.
- Deployment footprint 10 out of 10
- This page gives a stateless Java process with no separate backend datastore, four containers on a laptop without resource issues, and the best Kafka monitoring tools page calls it the lightest tool on its list.
- Support and maintenance 2 out of 10
- This page has no enterprise support tier, no forum and no channel beyond GitHub issues, with the newest published release 4.2.0 in July 2025 and issue #670 on KRaft closed as not planned. Scored on this page and the Kafbat UI vs Kafdrop comparison rather than the CMAK review’s table, which calls Kafdrop KRaft-compatible.
- Access control and audit 0 out of 10
- This page has no built-in authentication or access control, an external gateway enforcing policy, and no native RBAC or SSO, and the Conduktor vs Kafdrop comparison adds no audit trail. Scored on this page and the pair pages rather than the CMAK review’s table, which says basic auth.
- Multi-cluster reach 1 out of 10
- This page has multi-cluster management as not supported, and the AKHQ vs Kafdrop comparison gives one cluster per deployment.
Best for. A local or sandbox cluster in a Docker Compose stack, where there is nothing yet for a governance layer to govern.
What it costs. Nothing to licence, under Apache 2.0, with no licensing fees, subscription plans or commercial editions, and that is the whole of the published price. What it costs is the work around it: one deployment reaches one cluster, so three environments are three deployments, nothing in the product authenticates anyone, so an NGINX proxy goes in front of each, write operations stay exposed while the read-only mode sits in a pull request, and any record of who changed what is kept by hand. This page puts that at 8 engineer-hours a month, 96 hours, or about $11,520 a year at $120 an engineer-hour, this page’s estimate rather than a vendor price, and there is still no access control at the end of it. Kpow’s three clusters are about $16,380, made of $13,500 of published licence and $2,880 of run time.
Where it wins. One stateless Java process, no database, no sidecar, and no ZooKeeper connection since 3.10.0, which is why it is the lightest option compared here and why removing it later is deleting a container. Inside that scope it does its job: topics and partition state, messages in JSON, plain text, Avro and Protobuf, and consumer groups with combined and per-partition lag.
Where it falls short. The layer that decides whether a tool can be pointed at a production cluster is the layer that has not moved. Built-in authentication was closed as not planned in February 2026 and the documented answer is an NGINX proxy in front, write operations are exposed with a read-only mode sitting in a pull request since November 2020, and three reports of the topic view failing against KRaft were closed the same way. The load problem is consumer groups rather than topics: the cluster in issue #270 carried 5,566 of them, and the same view came back in under a minute once that step was disabled.
Staying patched. Kafdrop released 4.3.0 on 31 August 2026 bundling Tomcat 11.0.22, which had carried three critical advisories since 25 August, six days earlier. One of them, CVE-2026-65905, scores 9.8 and is an authentication bypass, and all three are still in the current release. Only 66 of its 118 bundled jars resolved to a coordinate, so those counts are a floor rather than a total. Three releases in two years, 106 of its last 132 commits from a dependency bot, and no security policy at any path GitHub reads.
Compare Kpow vs KafdropAKHQ vs KafdropKafbat UI vs KafdropKafdrop vs Redpanda ConsoleKafdrop vs Lenses.io
Kafdrop pricing
Kafdrop is free and open-source, released under the Apache License 2.0. There are no licensing fees, subscription plans, or commercial editions.
Pricing tiers
There is a single tier: free. The project has no commercial offering of any kind.
Free trial
There is no trial concept because Kafdrop has no paid tier to trial. You can run it immediately from the public Docker image or build it from source at no cost.
Kafdrop competitors and alternatives
Teams that outgrow Kafdrop typically move toward tools with built-in authentication, richer message search, or multi-cluster support. The market spans free open-source options, community-edition commercial tools, and fully commercial platforms with enterprise support.
| Rank | Tool | Best for | Type | Key functionalities | Deployment & ops | Access control | User interface | Pricing |
|---|---|---|---|---|---|---|---|---|
| 1 | Kpow by Factor House | Teams needing enterprise RBAC, high performance at scale, and dedicated support | Commercial, Community Edition available | Topic admin, consumer group management, schema registry, advanced RBAC, audit logging | Stateless; Docker, Kubernetes, ECS | Advanced RBAC | Performant; WCAG 2.1 AA compliant, with a published VPAT | From $4,500 per cluster per year, 100 users included; Community Edition free for 3 clusters and 10 users |
| 2 | Kafbat UI (the maintained Kafka-UI fork) | Teams with multi-cluster environments and moderate monitoring needs | OSS | Multi-cluster management, topic admin, consumer group monitoring | Web-based; Docker and Kubernetes | Role-based access control across eight resource types; OIDC, LDAP and Active Directory | Clean, functional | Free |
| 3 | AKHQ | Enterprise teams needing native identity provider integration | OSS | Topic admin, consumer group management, native Azure AD/OIDC | Web-based; higher resource footprint than Kafdrop | Native OIDC/OAuth2 | Full-featured; more complex UI than Kafdrop | Free |
| 4 | Redpanda Console (formerly Kowl) | Teams needing JS-based message filtering and Protobuf support | Source-available (BSL) / Commercial | JS expression search, dynamic Protobuf schema compilation, auto-decoding | Go / React SPA; lightweight | None in the free build; SSO and interface RBAC need a Redpanda Enterprise licence | Modern, polished | Free under the Business Source License (BSL); enterprise pricing on request |
| 5 | Lenses | Teams requiring SQL querying over Kafka topics and connector monitoring | Commercial | SQL Studio, topology maps, automated connector restarts, DLQ management | Web UI | RBAC, SSO | Rich, SQL-driven | Community free for up to 5 users; Team from $4,000/year for up to 15 users; custom above that |
For a broader comparison of Kafka UI tools, see the Kafka UI comparison guide.
Rank 1 Kpow by Factor House
82 out of 90 Total
Try Kpow in the live demo No signup needed.
- Cost a year, 3 clusters
- About $16,380, licence and run time
- Free tier
- Community Edition, 3 clusters and 10 users
- Clusters
- Up to 12 per instance
- Cost as teams grow
- 7 out of 10
- Deployment footprint
- 9 out of 10
- Support and maintenance ×3 weight, this criterion counts 3 times toward the total
- 9 out of 10
- Access control and audit ×3 weight, this criterion counts 3 times toward the total
- 10 out of 10
- Multi-cluster reach
- 9 out of 10
Why these scores for Kpow by Factor House
- Cost as teams grow 7 out of 10
- The Kpow pricing page publishes Enterprise from $4,500 per cluster with 100 users included, and Community Edition free for 3 clusters and 10 users, while RBAC, masking and the audit log are held back from the free tier and the Apache 2.0 tools on this page cost nothing at any size. This page’s cost model at the three clusters this page prices: the published $13,500 licence plus 2 engineer-hours a month at $120 an engineer-hour to run one stateless container, which is $2,880, so about $16,380 a year. The run-time part is this page’s estimate, not a vendor price.
- Deployment footprint 9 out of 10
- The Kpow vs Kafdrop comparison gives one stateless JVM container configured by environment variables, with no external database, sidecar or persistent volume. Kafdrop is lighter still.
- Support and maintenance 9 out of 10
- This page’s table gives dedicated support, the Kpow vs Kafdrop comparison has priority support on Enterprise with community Slack and docs on Community Edition, and the Kpow features page lists an Enterprise support SLA.
- Access control and audit 10 out of 10
- This page’s table gives advanced RBAC and audit logging, and the Kpow features page adds role-based and temporary role-based access controls, LDAP, SAML, OpenID, OAuth2, data masking policies and a user action audit log, all on Enterprise.
- Multi-cluster reach 9 out of 10
- The Kpow multi-cluster page gives up to 12 clusters from a single instance across self-managed Kafka, MSK, Confluent Cloud, Redpanda, Aiven and Instaclustr, and that per-instance ceiling of 12 keeps it level with the uncapped tools rather than above them.
Best for. Teams needing enterprise RBAC, high performance at scale, and dedicated support
What it costs. Enterprise is $4,500 per cluster a year with 100 users included, so the three clusters this page prices come to $13,500 however many engineers use them, and Community Edition is free for 3 clusters and 10 users. Add this page’s modelled running cost of 2 engineer-hours a month at $120 an engineer-hour, about $2,880 a year, and the total is about $16,380. Kafdrop licences nothing and costs about $11,520 a year in engineer time on the same model, so the gap is about $4,860 a year, and what it buys is RBAC, single sign-on, server-side masking and an audit log that Kafdrop has no version of at any price.
Where it beats Kafdrop. The governance layer is inside the product instead of a proxy in front of it: role-based access control and multi-tenancy, single sign-on, server-side data masking, and an audit log of user actions, with global, role-based and temporary role-based access controls and multi-tenancy configuration. Search runs across topics, so an engineer finds the message their service just produced without browsing by offset or writing a throwaway consumer. One stateless container with no external database manages up to 12 clusters.
Where it falls short. It is not free above Community Edition, which covers 3 clusters and 10 users and holds back RBAC, data masking, single sign-on and the audit log. Enterprise is licensed per cluster from 4,500 US dollars a year where Kafdrop costs nothing to license at any size, and one instance reaches 12 clusters before you deploy a second.
Staying patched. Kpow’s release notes name the CVEs each release remediates, and the 96.4 image built on 5 August 2026 bundles 311 dependencies. What a licence buys here is not a different deployment model, because Kpow is self-hosted too. It is a company contracted to ship the fix. Every dependency figure on this page was read on 24 September 2026 from the published artefacts and from nvd.nist.gov.
Compare Kpow vs KafdropKpow vs AKHQKpow vs Kafbat UIKpow vs Redpanda ConsoleKpow vs Lenses.io
Rank 2 Kafbat UI
60 out of 90 Total
- Cost a year, 3 clusters
- $0 Apache 2.0, about $8,640 to run
- Latest release
- v1.5.0, April 2026
- Origin
- Fork of the Provectus kafka-ui project
- Cost as teams grow
- 10 out of 10
- Deployment footprint
- 8 out of 10
- Support and maintenance ×3 weight, this criterion counts 3 times toward the total
- 5 out of 10
- Access control and audit ×3 weight, this criterion counts 3 times toward the total
- 6 out of 10
- Multi-cluster reach
- 9 out of 10
Why these scores for Kafbat UI
- Cost as teams grow 10 out of 10
- This page’s table gives Free and OSS, and the Kafbat UI vs Kafdrop comparison has Apache 2.0 with no paid tier and no cap. The card carries this page’s run-cost estimate of about $8,640 a year, 6 engineer-hours a month at $120 an engineer-hour across three clusters.
- Deployment footprint 8 out of 10
- This page’s table gives Docker and Kubernetes, the Kadeck vs Kafbat UI comparison has a stateless container with a published Helm chart, and the Kafbat UI review records adding a cluster from the UI failing on Kubernetes.
- Support and maintenance 5 out of 10
- The Kafbat UI vs Kafdrop comparison has v1.5.0 on 20 April 2026 after five releases across 2025, but support is GitHub issues or an unpriced professional services engagement.
- Access control and audit 6 out of 10
- This page’s table and the Kafbat UI vs Kafdrop comparison give role-based access control across eight resource types with OAuth, Google, GitHub, Cognito, LDAP and Active Directory, and a built-in audit log, while masking does not vary by role and the default audit level records changes and not reads.
- Multi-cluster reach 9 out of 10
- This page’s table gives multi-cluster management, and the Kafbat UI vs Kafdrop comparison has many clusters from a single deployment.
Best for. Teams with multi-cluster environments and moderate monitoring needs
What it costs. Nothing to licence, under Apache 2.0, with no paid tier and no cap. Running it is the cost: upgrades, the masking policies, the audit configuration that records changes and not reads, and the sizing work the project publishes no guidance for. This page puts that at 6 engineer-hours a month across three clusters, 72 hours, or about $8,640 a year at $120 an engineer-hour, this page’s estimate rather than a vendor price. Kafdrop is about $11,520 a year on the same model and has no access control at the end of it.
Where it beats Kafdrop. It is the same class of self-hosted open-source UI with the three constraints in this review removed. Access control is role-based across eight resource types, with OAuth, Google, GitHub, Cognito, LDAP and Active Directory as identity providers, and there is a built-in audit log written to a Kafka topic, the console, or both. A cluster is addressed by bootstrap servers and standard Kafka client properties, so the KRaft question Kafdrop closed as not planned does not arise, and many clusters run from one deployment.
Where it falls short. Masking does not vary by role, and the default audit level records changes and not reads, so nobody sees who read what. There is no published sizing guidance either, only example Helm values tied to no cluster, topic or partition count, so the scale question this review raises about Kafdrop has no published answer here. Paid help is a professional services engagement with no published price and no SLA.
Staying patched. Kafbat UI released v1.5.0 in April 2026 and has not shipped since. In the 157 days since, at least 20 high or critical advisories have been published against libraries that release bundles, including the netty critical CVE-2026-75595. Only 150 of its 266 bundled jars resolved to a Maven coordinate, so that count is a floor and the state of the release itself is unmeasured. Kafbat does publish a security policy, which AKHQ and Kafdrop do not, and the one CVE filed against its own code, CVE-2025-49127, was already fixed in the release that preceded the advisory. Six releases in two years.
Compare Kpow vs Kafbat UIKafbat UI vs KafdropAKHQ vs Kafbat UIKafbat UI vs Redpanda ConsoleKafbat UI review
Rank 3 AKHQ
57 out of 90 Total
- Cost a year, 3 clusters
- $0 Apache 2.0, about $8,640 to run
- Latest release
- 0.28.0, August 2026
- Identity providers
- LDAP, OIDC, basic, claim mapping
- Cost as teams grow
- 10 out of 10
- Deployment footprint
- 8 out of 10
- Support and maintenance ×3 weight, this criterion counts 3 times toward the total
- 5 out of 10
- Access control and audit ×3 weight, this criterion counts 3 times toward the total
- 5 out of 10
- Multi-cluster reach
- 9 out of 10
Why these scores for AKHQ
- Cost as teams grow 10 out of 10
- This page’s table gives Free and OSS, and the AKHQ vs Kafdrop comparison has Apache 2.0 in a single tier, with no feature held back from the open release. The card carries this page’s run-cost estimate of about $8,640 a year, 6 engineer-hours a month at $120 an engineer-hour across three clusters.
- Deployment footprint 8 out of 10
- The AKHQ vs Kadeck comparison gives one JVM container with no database or sidecar, docked for the constantly-increasing-memory reports open since July 2022 and May 2025 in the AKHQ vs Kafdrop comparison.
- Support and maintenance 5 out of 10
- The AKHQ vs Kafdrop comparison has 0.28.0 in August 2026 after 0.27.1 in May, but 441 commits from one maintainer and 82 from the next contributor, and GitHub issues with no SLA.
- Access control and audit 5 out of 10
- This page’s table gives Native OIDC/OAuth2, and the AKHQ vs Kafdrop comparison has LDAP, OIDC, HTTP basic auth and claim mapping, with resource-level RBAC contributed by Michelin. The Kpow vs AKHQ comparison has masking as one YAML filter per topic and the audit log opt-in to a Kafka topic with no view.
- Multi-cluster reach 9 out of 10
- The AKHQ vs Kafdrop comparison has one deployment reaching one cluster or many, and the AKHQ review adds MSK IAM support with multi-cluster documented in production at Michelin.
Best for. Enterprise teams needing native identity provider integration
What it costs. Nothing to licence, under Apache 2.0, with no feature held back from the open release and no support tier to buy. The cost is the heap you size and watch against the constantly-increasing-memory reports open since July 2022 and May 2025, the one-filter-per-topic YAML masking, and the consumer you build to read the audit topic. This page puts that at 6 engineer-hours a month across three clusters, 72 hours, or about $8,640 a year at $120 an engineer-hour, this page’s estimate rather than a vendor price. Kafdrop is about $11,520 a year on the same model, because one deployment reaches one cluster and the proxy in front is yours to run.
Where it beats Kafdrop. It closes the gap this review keeps returning to. Authentication is in the product: LDAP, OIDC, HTTP basic, and role and attribute claim mapping from an external identity provider, with resource-level RBAC contributed by Michelin. It also supports MSK IAM natively, where Kafdrop’s IAM contribution sat in pull request #287 with unresolved conflicts for over a year, and one deployment reaches one cluster or many rather than one each.
Where it falls short. It costs more attention than Kafdrop in both senses. A constantly-increasing-memory report has been open since July 2022 and a second since May 2025, and the commit record is concentrated at 441 commits from one maintainer. Data masking is YAML, one filter per topic applied to every user, and audit events land in a Kafka topic you have to read with your own tooling. Support is the issue tracker, with no SLA to buy.
Staying patched. AKHQ has no CVE filed against its own code, and that is the wrong number to plan against. Release 0.28.0, cut on 6 August 2026, bundles 270 libraries and 18 of them carry a high or critical advisory. Sixteen were already public, with fixed versions already on Maven Central, on the day it shipped, and five are netty advisories Kpow had remediated three weeks earlier in 96.2: CVE-2026-44249, CVE-2026-45416, CVE-2026-45674, CVE-2026-47691 and CVE-2026-50010. The oldest has been open 108 days. That is exposure and remediation latency rather than a working attack, and every figure resolves against the published jar and nvd.nist.gov. Four releases in two years, and no security policy at any path GitHub reads.
Compare Kpow vs AKHQAKHQ vs KafdropAKHQ vs Kafbat UIAKHQ vs Redpanda ConsoleAKHQ review
Rank 4 Redpanda Console (formerly Kowl)
redpanda.com
55 out of 90 Total
- Cost a year, 3 clusters
- About $8,640 to run, before any licence
- Latest release
- v3.11.0, August 2026
- Clusters
- One broker cluster per deployment
- Cost as teams grow
- 6 out of 10
- Deployment footprint
- 8 out of 10
- Support and maintenance ×3 weight, this criterion counts 3 times toward the total
- 7 out of 10
- Access control and audit ×3 weight, this criterion counts 3 times toward the total
- 6 out of 10
- Multi-cluster reach
- 2 out of 10
Why these scores for Redpanda Console (formerly Kowl)
- Cost as teams grow 6 out of 10
- This page’s table has it free under the Business Source License with no seat count, and the Kpow vs Redpanda Console comparison has governance needing a Redpanda Enterprise licence that is not published. The card carries this page’s run-cost estimate of about $8,640 a year, 6 engineer-hours a month at $120 an engineer-hour across three clusters.
- Deployment footprint 8 out of 10
- The Kafdrop vs Redpanda Console comparison gives a container or Helm chart holding no state, plus an external Schema Registry for schema browsing.
- Support and maintenance 7 out of 10
- The Kafdrop vs Redpanda Console comparison has v3.11.0 in August 2026 with a 2.8.x maintenance line alongside it, and the AKHQ vs Redpanda Console comparison puts a vendor behind the tier licensed from it.
- Access control and audit 6 out of 10
- This page’s table has none of it in the free build, and the Kafdrop vs Redpanda Console comparison has SASL-SCRAM users and Kafka ACLs managed free while role-based access to the interface itself is licensed.
- Multi-cluster reach 2 out of 10
- The Kafdrop vs Redpanda Console comparison gives one broker cluster per deployment at any price, though it spans several Kafka Connect clusters from one instance.
Best for. Teams needing JS-based message filtering and Protobuf support
What it costs. The community build carries no licence fee, but it is source-available under the Business Source License rather than open source, and three environments mean three Consoles because one reaches one broker cluster. This page puts that at 6 engineer-hours a month, 72 hours, or about $8,640 a year at $120 an engineer-hour, this page’s estimate rather than a vendor price. Role-based access to the interface then needs a Redpanda Enterprise licence at a price that is not published, so a team leaving Kafdrop because there is no login pays an unquotable number on top of the $8,640.
Where it beats Kafdrop. It answers the two functional gaps named in the review above. A JavaScript expression filters messages inside a topic by key or value, which is the exact capability felheartx describes Kafdrop as lacking, and Protobuf schemas are compiled dynamically rather than configured per topic by hand. It also ships often, with v3.11.0 in August 2026 and a 2.8.x maintenance line running alongside it.
Where it falls short. The free build is source-available under the Business Source License rather than open source, and access control to the interface itself needs a Redpanda Enterprise licence whose price is not published. A team leaving Kafdrop because there is no login gains nothing here without paying. One deployment still reaches one broker cluster, which is the same ceiling Kafdrop has.
Compare Kpow vs Redpanda ConsoleKafdrop vs Redpanda ConsoleAKHQ vs Redpanda ConsoleKafbat UI vs Redpanda ConsoleRedpanda Console review
Rank 5 Lenses
lenses.io
52 out of 90 Total
- Cost a year, 3 clusters
- About $14,880, licences and run time
- Free tier
- Community, 5 users, basic auth only
- Requires
- PostgreSQL, plus an Agent and Agent database per cluster
- Cost as teams grow
- 4 out of 10
- Deployment footprint
- 2 out of 10
- Support and maintenance ×3 weight, this criterion counts 3 times toward the total
- 6 out of 10
- Access control and audit ×3 weight, this criterion counts 3 times toward the total
- 7 out of 10
- Multi-cluster reach
- 7 out of 10
Why these scores for Lenses
- Cost as teams grow 4 out of 10
- This page’s table and the Kafdrop vs Lenses comparison publish Team from 4,000 US dollars a year for up to 15 users, Community at five users, and custom pricing at the sixteenth. This page’s cost model at three clusters: DevX Team is scoped to a single cluster, which the Conduktor vs Lenses comparison records, so three Team licences at the published $4,000 is $12,000, plus 2 engineer-hours a month at $120 an engineer-hour for HQ, its PostgreSQL and the agents, which is $2,880, so about $14,880 a year. The run-time part is this page’s estimate, not a vendor price.
- Deployment footprint 2 out of 10
- The Kafdrop vs Lenses comparison gives a central HQ node with PostgreSQL, plus one Agent and one Agent database for every Kafka cluster, and the CMAK vs Lenses comparison has HQ running a single replica.
- Support and maintenance 6 out of 10
- This page’s table gives Commercial, the Kafdrop vs Lenses comparison has a vendor with Team Support at Team and Enterprise Support above it, and the Lenses review reports slow bug fixes.
- Access control and audit 7 out of 10
- This page’s table gives RBAC and SSO, the Kafdrop vs Lenses comparison has SSO, SAML and RBAC from Team upwards with built-in Admin, Operator and Security Admin roles, and the AKHQ vs Lenses comparison has masking global by field name and not varying by role.
- Multi-cluster reach 7 out of 10
- The Kafdrop vs Lenses comparison has one Agent per cluster under a single HQ, with federated multi-Kafka only at the custom-priced top tier.
Best for. Teams requiring SQL querying over Kafka topics and connector monitoring
What it costs. Community is five users with basic authentication only. DevX Team starts at $4,000 a year, covers up to 15 users and is scoped to a single cluster, so the three clusters this page prices are three Team licences, $12,000, and the sixteenth user on any of them is a custom quote. Add this page’s modelled running cost for a central HQ node on PostgreSQL plus an Agent and an Agent database beside every cluster, 2 engineer-hours a month at $120 an engineer-hour, about $2,880 a year, and the total is about $14,880. The $4,000 is the published price; the running figure is this page’s estimate. Kafdrop licences nothing and costs about $11,520 a year to run on the same model.
Where it beats Kafdrop. SQL Studio queries topics directly, so somebody who does not write consumer code can find a record, against browsing by offset with the deserialisation format set per topic by hand. It is also the only option on this page that manages Kafka Connect with automated connector restarts and dead letter queue handling, and SSO, SAML and RBAC arrive from Team upwards with built-in Admin, Operator and Security Admin roles.
Where it falls short. It is the heaviest thing on this page to run: a central HQ node on PostgreSQL, plus one Agent and one Agent database for every Kafka cluster, against Kafdrop’s one stateless Java process with no datastore at all. The free tier is five users with basic authentication and no SSO or RBAC, Team is 4,000 US dollars a year for up to 15 users, and the sixteenth user is a sales conversation.
Compare Kpow vs Lenses.ioKafdrop vs Lenses.ioAKHQ vs LensesKafbat UI vs LensesLenses review
Frequently asked questions about Kafdrop
How much does Kafdrop cost, and is there a free tier?
Kafdrop is free. It is open-source software released under the Apache License 2.0. There are no paid plans, commercial editions, or usage limits. You download and run it at no cost.
When is Kafdrop a better choice than the alternatives?
Kafdrop suits teams that need a zero-cost, minimal-setup Kafka UI for local or sandbox use. If you are running a single ZooKeeper-based cluster in Docker Compose and need quick topic visibility, Kafdrop installs in minutes and adds negligible resource overhead.
When are the alternatives a better choice than Kafdrop?
Alternatives suit you better when you need authentication or access control built in, KRaft cluster support, message search and filtering, AWS MSK with IAM auth, multi-cluster management, or reliable performance at scale. Kafdrop covers none of these natively.
Does Kafdrop support KRaft mode?
No. Kafdrop fails to display topic information when connected to a KRaft cluster, and GitHub issue #670 requesting support was closed as “not planned.” Teams running Kafka 3.3 or later in KRaft mode should evaluate alternative tools before committing to Kafdrop.
Is Kafdrop safe to deploy outside a local environment?
With careful configuration. Kafdrop has no built-in authentication, so an unprotected instance exposes full cluster visibility to anyone who can reach it. Teams running it outside a local network must place it behind an auth proxy. It also exposes write operations, so accidental topic deletion is possible.
For the rest of the tooling landscape, see the complete guide to Kafka.
How these tools were scored
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: Cost as teams grow counts once, Deployment footprint counts once, Support and maintenance counts three times, Access control and audit counts three times and Multi-cluster reach counts once, for a total out of 90. Access control and audit and Support and maintenance count three times here, because in a regulated environment the decisive questions are who may act on a cluster and who is accountable when a dependency advisory lands. Cost as teams grow, deployment footprint and multi-cluster reach are real, but they are one-off decisions rather than standing exposure, so they count once. This page is published by Factor House, which makes Kpow by Factor House. Every option is scored on the same rubric and the same sources: Kpow by Factor House'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 by Factor House ranks first on its total of 82 out of 90. The other options follow by total.