Apache Kafka is the open-source event streaming platform, licensed under Apache 2.0 and maintained by the Apache Software Foundation. Confluent Kafka is the common shorthand for the same broker packaged with proprietary components and sold as Confluent Platform, self-managed, or Confluent Cloud, fully managed.
At a glance
Apache Kafka and Confluent Kafka are scored here on the same five criteria, 50 points in all: Apache Kafka 33 out of 50, Confluent Kafka 32 out of 50. Apache Kafka takes its best score on Licensing (10 out of 10) and its lowest on Operational overhead (4 out of 10). Cost a year, modelled: $0 licence plus about $28,800 operator time (20 hours a month at $120). Confluent Kafka takes its best score on Enterprise capabilities (9 out of 10) and its lowest on Cost against value (3 out of 10). Cost a year, reported: $50,000 to $500,000+, licensed per environment.
Core questions: cost, missing features, operational overhead
The decision is a build-versus-buy trade on three axes.
Cost against value. Apache Kafka is free to run and the spend goes to infrastructure and engineering time. Confluent Platform is licensed per environment, and reported licence pricing typically runs from around $50,000 to $500,000+ per year, with Control Center, multi-tenancy support and encryption features priced beyond the base licence.
Missing features. The enterprise capabilities Confluent adds, role-based access control, audit logging, Cluster Linking and a managed Schema Registry, are the ones a team self-hosting Apache Kafka must assemble from open-source components or build.
Operational overhead. Confluent Cloud removes cluster provisioning, scaling and upgrades, and in exchange offers limited control over the underlying deployment and high vendor lock-in.
Ownership is now part of the question. IBM’s announced acquisition of Confluent, reported at $11B, raises continuity questions for teams betting on Confluent’s roadmap.
Chad Harris’s advice since the IBM acquisition closed has been consistent, and he laid it out in full in what the IBM-Confluent acquisition means for Kafka users: you do not need to migrate anything today, but you should know your exposure. He puts four questions to platform teams. Which Confluent-specific features are we actually using, versus standard Kafka APIs? If we had to move, what would break and need re-implementing? How much of our CI/CD and pipeline tooling is tied to Confluent-specific features, versus standard APIs like Schema Registry or Kafka Admin that other providers also support? Are the monitoring and operational workflows coupled to Confluent tooling? The cost of understanding your dependencies now is low. The cost of discovering them under pressure is high. This is not an argument against Confluent, whose platforms Factor House’s own tooling works with every day. It is an argument for knowing which side of the Apache line each of your dependencies sits on.
Key comparison points: management, connectors, governance
Management. Open-source Kafka requires manual setup, monitoring and upgrades, with a separate management or UI tool for day-2 operations. Confluent bundles Control Center, which is designed around Confluent’s own distribution and is less useful on vanilla Apache Kafka.
Connectors. Kafka Connect itself is Apache 2.0 and ships with Apache Kafka. The connector catalogue differs: Confluent’s fully managed and licensed source and sink connectors have no direct equivalents on other platforms, which creates a hard dependency once pipelines are built on them.
Security and governance. Apache Kafka provides SASL authentication, TLS and ACL authorization. Confluent layers role-based access control, audit logs and Stream Governance on top as commercial features. Kafka RBAC tools and Kafka audit logging tools cover what it takes to assemble those two on the Apache side.
For regulated teams running either Apache Kafka or Confluent Platform, Factor House recommends Kpow as the governance layer. Kpow Enterprise adds role-based access control with multi-tenancy, server-side data masking for sensitive fields, a full audit log and SSO through Okta, Azure AD, KeyCloak, LDAP and SAML. It runs self-hosted, including air-gapped, and its product page lists Apache Kafka and Confluent Platform among the Kafka-compatible brokers it supports.
One comparison point matters more in production than any feature table: client libraries. Use the official Apache Kafka or Confluent client libraries, or a thin wrapper around librdkafka. The Kafka protocol is reasonably complicated, and a client that reimplements it and gets one small thing wrong produces quiet problems that build up over time. In a talk on Kafka operational issues Chad Harris described one client library that wrote three bytes where the message header needed four. It looked innocuous until another client saw those messages and started rebalancing, and over days that built up until it affected the whole cluster. Whichever distribution you choose, this is the dependency to standardise first.
Worth knowing about the market you are deciding in: Kylie Troy-West, Factor House’s co-founder, notes that many Confluent customers keep their tooling separate from their service provider specifically to avoid lock-in, a hedge she considers advisable after the IBM acquisition. Running Confluent and keeping your operational tooling independent are not competing choices.
The IBM-Confluent acquisition has sent a signal through the data streaming market that every enterprise architect is processing: consolidation is here, and your tooling dependencies matter. … The question of who controls your streaming infrastructure has moved from theoretical to urgent.
Derek Troy-West, Co-founder and CEO of Factor House
Licensing, precisely
Confluent’s own FAQ for the Confluent Community License lists Schema Registry, REST Proxy, ksqlDB and community connectors under that source-available licence, which permits free use but prohibits offering the components as a competing SaaS. Control Center, RBAC, Cluster Linking and the commercial connectors sit under the Confluent Enterprise License.
A managed console home, the same task in the Apache Kafka CLI, and the component licence page.
The practical consequence for a self-hosting team is that a stack assembled around Schema Registry or ksqlDB is source-available, not open source, and carries usage restrictions the Apache-licensed core does not.
What the open-source core now covers
The feature gap narrows by release. Tiered storage, separating local broker disks from remote object storage, is production-ready in Apache Kafka since 3.9 (KIP-405). KRaft replaced ZooKeeper, available in 3.3 with full feature parity in 3.9. Queue semantics arrive with share groups (KIP-932), covered in the KIP-932 explainer. Each release moves capabilities from the commercial differentiator column into the open-source baseline, which shifts the comparison toward the governance, connector and support layers.
Chad Harris’s take: I think KIP-1279: Cluster Mirroring is a phenomenal KIP. It builds cross-cluster replication into the Kafka brokers instead of running MirrorMaker 2 on separate Connect workers, and it addresses the last really cool feature that is Confluent vendor-locked.
Deployment models and support
Managed Kafka from cloud providers, Amazon MSK among them, sits between the two, managing brokers while leaving client-side and topic-level operations with the team. The managed-versus-self-hosted decision has its own page in the complete Kafka guide.
Support is the line item teams forget to price into the open-source option. In one case study Factor House published, a healthcare data-platform’s middleware team was renewing third-party Kafka support at close to $150,000 a year before bringing support in-house around better visibility tooling. Whichever way you go on distribution, price the support model explicitly: a vendor SLA, a third-party contract, or your own engineers on call are all real costs, and the free-to-run column on the comparison sheet hides the third one. Chad Harris’s other standing advice applies to whoever answers your tickets: use vendor support as an early debugging tool, not just for crisis situations. Some of the hardest incidents he has seen were cracked open by a support ticket rather than a dashboard.
Rank 1 Apache Kafka
kafka.apache.org
33 out of 50 Total
- Cost a year, modelled
- $0 licence plus about $28,800 operator time (20 hours a month at $120)
- Licence
- Apache 2.0, Connect and Streams included
- Support
- Mailing lists and public issue trackers
- Cost against value
- 9 out of 10
- Enterprise capabilities
- 6 out of 10
- Operational overhead
- 4 out of 10
- Licensing
- 10 out of 10
- Deployment and support
- 4 out of 10
Why these scores for Apache Kafka
- Cost against value 9 out of 10
- This page says “Apache Kafka is free to run and the spend goes to infrastructure and engineering time.” This page’s estimate of the annual total: $0 licence plus about $28,800 of operator time, at 20 engineer-hours a month at $120 an hour. Docked from 10 because the page insists the free-to-run column hides the on-call cost, and cites a middleware team renewing third-party Kafka support at close to $150,000 a year.
- Enterprise capabilities 6 out of 10
- On this page, RBAC, audit logging, Cluster Linking and a managed Schema Registry “are the ones a team self-hosting Apache Kafka must assemble from open-source components or build”, against tiered storage production-ready since 3.9, KRaft parity in 3.9 and share groups arriving with KIP-932. Partial, and possible with work the reader does.
- Operational overhead 4 out of 10
- This page says “Open-source Kafka requires manual setup, monitoring and upgrades, with a separate management or UI tool for day-2 operations”, and the team owns incidents.
- Licensing 10 out of 10
- This page says “Apache Kafka, including Kafka Connect and Kafka Streams, is Apache 2.0.” It names this as the line each dependency sits on one side of, and the diagram’s point is that Connect and Streams are inside the Apache 2.0 core.
- Deployment and support 4 out of 10
- This page gives “community support through mailing lists and public issue trackers, and the team owns incidents”, with no vendor SLA to escalate to.
Apache Kafka, including Kafka Connect and Kafka Streams, is Apache 2.0.
Self-managed Apache Kafka: full control, community support through mailing lists and public issue trackers, and the team owns incidents.
Rank 2 Confluent Kafka
confluent.io
32 out of 50 Total
- Cost a year, reported
- $50,000 to $500,000+, licensed per environment
- Licence
- Community and Enterprise, not Apache 2.0
- Support
- Vendor support and SLAs under licence
- Cost against value
- 3 out of 10
- Enterprise capabilities
- 9 out of 10
- Operational overhead
- 8 out of 10
- Licensing
- 3 out of 10
- Deployment and support
- 9 out of 10
Why these scores for Confluent Kafka
- Cost against value 3 out of 10
- This page says “Confluent Platform is licensed per environment, and reported licence pricing typically runs from around $50,000 to $500,000+ per year, with Control Center, multi-tenancy support and encryption features priced beyond the base licence.” A real reported price, not this page’s estimate.
- Enterprise capabilities 9 out of 10
- On this page, role-based access control, audit logging, Cluster Linking and a managed Schema Registry come bundled. It is docked from 10 because Control Center “is designed around Confluent’s own distribution and is less useful on vanilla Apache Kafka”, so the bundled management does not travel.
- Operational overhead 8 out of 10
- This page says “Confluent Cloud removes cluster provisioning, scaling and upgrades”. It is docked because it “offers limited control over the underlying deployment and high vendor lock-in”, and Confluent Platform is still self-hosted.
- Licensing 3 out of 10
- On this page, Schema Registry, REST Proxy, ksqlDB and community connectors sit under a source-available licence that “permits free use but prohibits offering the components as a competing SaaS”, and Control Center, RBAC, Cluster Linking and the commercial connectors sit under the Confluent Enterprise License.
- Deployment and support 9 out of 10
- This page gives “Confluent Platform: self-hosted with vendor support and SLAs under licence” and Confluent Cloud fully managed. It is docked from 10 for the continuity question the page raises over the announced IBM acquisition.
Confluent Platform: self-hosted with vendor support and SLAs under licence.
Confluent Cloud: fully managed, the control-for-convenience trade described above.
Compare Confluent Control Center reviewWhat the IBM-Confluent acquisition means
FAQ
Are Confluent Kafka and Apache Kafka the same?
The broker is the same open-source Apache Kafka. Confluent packages it with proprietary components, RBAC, audit logs, Control Center, Cluster Linking and commercial connectors, sold as Confluent Platform or Confluent Cloud. The core is Apache 2.0 either way, and the added components carry Confluent’s own licences.
How these options 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. Each criterion counts once, for a total out of 50. The options are listed by total.