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.
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.
My advice since the IBM acquisition closed has been consistent, and I 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. I put 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 our 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 our 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.
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 I 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, our co-founder, notes that Confluent Platform and Cloud customers have historically made up roughly a third of our customer base, and that many 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.
Licensing, precisely
Apache Kafka, including Kafka Connect and Kafka Streams, is Apache 2.0. 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.
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 our 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.
Deployment models and support
Self-managed Apache Kafka: full control, community support through mailing lists and public issue trackers, and the team owns incidents. Confluent Platform: self-hosted with vendor support and SLAs under licence. Confluent Cloud: fully managed, the control-for-convenience trade described above. 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 we 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. My 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 I have seen were cracked open by a support ticket rather than a dashboard.
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.