The practical Confluent alternatives are open-source Apache Kafka with independent support, Amazon MSK, Aiven for Apache Kafka, Redpanda, Strimzi on Kubernetes, and the Kafka endpoint in Azure Event Hubs. Which one fits depends less on the broker than on which Confluent-licensed features you use today, because those are the parts that do not move with you.
The question has a new trigger. IBM announced its agreement to acquire Confluent on 8 December 2025, at $31 per share and an enterprise value of about $11 billion, and completed the acquisition on 17 March 2026. IBM named its day-one integrations as watsonx.data, IBM MQ, IBM webMethods Hybrid Integration and IBM Z. For teams that chose Confluent as an independent streaming vendor, the next renewal is a natural point to check whether the platform still fits, or whether open-source Apache Kafka with a support contract covers what they actually use.
The stakes are wide. IBM puts Confluent's base at more than 6,500 enterprises, including 40% of the Fortune 500. It is a data streaming platform built on Apache Kafka, used for event streaming between services, real-time data pipelines through Kafka Connect, and a managed Kafka ecosystem around the brokers. Every alternative below covers the core use case; they differ in how much of that ecosystem comes with them.
Two things did not change. Apache Kafka is an Apache Software Foundation project under the Apache 2.0 license, so the acquisition of Confluent, Inc. does not touch the Kafka you can download and run. And Confluent's deployment options are the same four it listed at announcement: Confluent Cloud, self-managed Confluent Platform, WarpStream for bring-your-own-cloud, and Confluent Private Cloud.
What ties you to Confluent: the three license tiers
Confluent splits its software into three license tiers, and the tier decides how hard each piece is to leave.
| License | What it covers | What moving off Confluent means |
|---|---|---|
| Apache 2.0 | Apache Kafka with Kafka Connect and Kafka Streams, Confluent clients, open-source connectors | Nothing to replace. These run the same on any Kafka platform. |
| Confluent Community License | Schema Registry, REST Proxy, ksqlDB, community connectors | You can keep running them yourself. The license only forbids offering them as a SaaS that competes with Confluent. |
| Confluent Enterprise License | Control Center, RBAC, Cluster Linking, Replicator, Tiered Storage in Confluent Platform, Self-Balancing Clusters, Confluent for Kubernetes, Health+, audit logs, Schema Validation, MQTT Proxy, commercial connectors | Each one needs a replacement or a decision to do without it. |
That table is the migration estimate. A team that uses Apache Kafka, the Java clients and Schema Registry can move to any of the options below and keep its schemas and serializers unchanged, because Schema Registry can come along under the community license. A team that depends on Cluster Linking for disaster recovery, RBAC for multi-tenant access control and Control Center for operations has three gaps to close first: MirrorMaker 2, which ships with Apache Kafka, replaces replication; Kafka ACLs replace RBAC with coarser control; and monitoring moves to Prometheus and Grafana or to the managed service's own console.
Six Confluent alternatives compared
Each option replaces a different part of what Confluent sold you.
| Alternative | What it is | What to check first |
|---|---|---|
| Apache Kafka with independent support | Apache 2.0 Kafka on your own VMs or Kubernetes, with a support contract for incidents, upgrades and design reviews | You own operations. Budget the people or the contract that covers the 3am page. |
| Amazon MSK | AWS's fully managed Apache Kafka service; AWS Glue Schema Registry is AWS's own schema registry | Moving to Glue Schema Registry means AWS's serializer libraries; keeping Confluent Schema Registry self-managed avoids that. Versions follow the MSK lifecycle. |
| Aiven for Apache Kafka | Managed Apache Kafka on several clouds, with Karapace, Aiven's open-source schema registry and REST proxy under Apache 2.0 | Test your Schema Registry client calls against Karapace before cutover. |
| Redpanda | A Kafka API-compatible streaming engine; the Community Edition is under the Business Source License 1.1 | It is not Apache Kafka. Run your clients, connectors and edge cases against it, and read the BSL terms. |
| Strimzi | A CNCF Incubating project (since 8 February 2024) that runs Apache Kafka on Kubernetes with an operator | The open-source replacement for Confluent for Kubernetes. You still need someone who runs Kafka on Kubernetes well. |
| Azure Event Hubs (Kafka endpoint) | Kafka protocol support on the Standard, Premium and Dedicated tiers | Microsoft lists Kafka transactions, exactly-once semantics, compression other than gzip and AdminClient topic management as unsupported. |
Staying on Confluent is a legitimate answer too. If your estate leans on Cluster Linking across regions, Confluent Cloud's serverless clusters, or the enterprise connectors, replacing them costs more than the renewal. The exercise is still worth doing, because knowing exactly which features you would miss is the strongest position to negotiate from.
For a broader side-by-side of the managed services, including MSK against Confluent Cloud, see managed Kafka options compared. For the support question on its own, see Confluent vs independent Kafka support.
Is Amazon MSK a good alternative to Confluent Cloud?
This is the comparison most Confluent Cloud customers make first, and it is closer than the price lists suggest. Both are fully managed Apache Kafka in the cloud. The difference is how much of the surrounding data streaming platform comes in the box.
- Confluent Cloud is Confluent's fully managed service, built on its serverless Kafka engine, with managed Schema Registry, connectors and stream processing in the same console. You buy the platform, and the Kafka cluster is one part of it.
- Amazon MSK is AWS's fully managed Apache Kafka. Connectors run on MSK Connect, schemas live in AWS Glue Schema Registry or in a Schema Registry you run yourself, and stream processing is whatever you deploy. You buy Kafka, and assemble the rest from AWS services.
MSK is a good alternative to Confluent Cloud when the workload already lives in AWS, the team is comfortable owning Kafka Connect and schema management, and the Confluent features in use are the open ones. It is a poor fit when the estate depends on Cluster Linking between clouds or on Confluent's managed stream processing, because those have no one-for-one equivalent inside MSK. In both cases the managed service runs the brokers; consumer lag, partition design and client behaviour remain yours.
Redpanda, Pulsar and WarpStream: what kind of alternative each is
Redpanda is a Kafka-compatible alternative, not Apache Kafka. It implements the Kafka API, so existing producers and consumers connect without code changes, but the engine underneath is different, and the free Community Edition is source-available under the Business Source License 1.1 rather than open source. Treat a move to Redpanda as a migration with a compatibility test plan: clients, Kafka Connect connectors, transactions and any admin tooling that talks to the cluster.
Apache Pulsar is a different system. It is a separate Apache project with its own protocol and client libraries, so moving from Confluent to Pulsar is a re-platform of every producer and consumer, not a swap of the broker. It is worth it for workloads that need Pulsar's model, multi-tenancy and geo-replication built in, and rarely worth it purely to leave a vendor. Our Apache Pulsar support options post covers who supports it.
WarpStream is not an alternative. Confluent acquired it in September 2024, and IBM's announcement lists WarpStream as one of Confluent's own deployment models, for bring-your-own-cloud. Choosing it keeps you inside the Confluent family.
How to choose in four questions
- List the Confluent-licensed features you use, not the ones you bought. Check for Cluster Linking or Replicator links, RBAC role bindings, Control Center logins in the last 90 days, and commercial connectors in Connect.
- Decide where the cluster should live. Your own infrastructure points to Apache Kafka or Strimzi with support. One cloud points to that cloud's managed service. Several clouds point to Aiven or Confluent Cloud.
- Check the semantics you rely on. If producers use transactions or consumers read with exactly-once semantics, Event Hubs is out, and every other option needs a test of those paths before cutover. See Kafka exactly-once semantics in practice.
- Name who answers an incident. A managed service owns the infrastructure, not your consumer lag, partition skew or rebalance storm. Whatever you choose, that layer still needs an owner.
The migration itself usually runs as a parallel cluster: replicate topics with MirrorMaker 2, move consumers first and producers last, and keep the old cluster until offsets are confirmed. If the source is still on Kafka 3.x with ZooKeeper, plan the KRaft step at the same time, since Kafka 4.0 removed ZooKeeper; the version picture is in Apache Kafka end of life and the cutover sequence is in the Kafka migration guide.
Where AceMQ fits
AceMQ is an independent Kafka support provider. We support open-source Apache Kafka, Confluent Platform and Amazon MSK estates under one contract, 24/7 with a 15-minute emergency SLA, so the support relationship does not change when the platform does. That makes us useful on both sides of this decision: running the evaluation and the migration if you leave, and providing Kafka support for the Apache Kafka estate you end up on. If you stay on Confluent, we support that too.
Start with the inventory in the first step above. It takes an afternoon, and it turns the question of leaving Confluent into a list of three or four specific features with a known replacement for each.
FAQ
What are the best Confluent alternatives?
For self-managed estates, open-source Apache Kafka with an independent support contract, run on VMs or on Kubernetes with Strimzi. For managed Kafka, Amazon MSK, Aiven for Apache Kafka, or the Kafka endpoint in Azure Event Hubs. Redpanda is a Kafka API-compatible alternative engine. The right one depends on which Confluent-licensed features you use.
Did IBM acquire Confluent?
Yes. IBM announced the agreement on 8 December 2025, at $31 per share and an enterprise value of about $11 billion, and completed the acquisition on 17 March 2026.
Does the IBM acquisition change Apache Kafka?
No. Apache Kafka is an Apache Software Foundation project under the Apache 2.0 license. IBM acquired Confluent, Inc., the company, not the Kafka project.
Can I keep Confluent Schema Registry if I leave Confluent?
Yes. Schema Registry, REST Proxy and ksqlDB are under the Confluent Community License, which lets you run and modify them yourself. The only excluded use is offering them as an online service that competes with Confluent.
What does Confluent have that Apache Kafka does not?
The enterprise-licensed features: Control Center, role-based access control, Cluster Linking, Replicator, Self-Balancing Clusters, Confluent for Kubernetes, Health+, audit logs, Schema Validation, MQTT Proxy and the commercial connectors. Each needs a replacement, such as MirrorMaker 2 for replication or Strimzi for Kubernetes, or a decision to do without it.
Is Amazon MSK a good alternative to Confluent Cloud?
Yes, when the workload already runs in AWS and the team is comfortable owning Kafka Connect and schema management. MSK is fully managed Apache Kafka; Confluent Cloud adds managed Schema Registry, connectors and stream processing around it. Estates that depend on Cluster Linking or Confluent's managed stream processing will find no one-for-one equivalent in MSK.
Is Redpanda a Kafka replacement?
It is a Kafka API-compatible alternative rather than Apache Kafka itself. Existing Kafka clients connect without code changes, but the engine is different and the Community Edition is under the Business Source License 1.1, so test clients, connectors and transactions before moving.
How difficult is it to migrate off Confluent?
It depends on the license tier of what you use. Apache Kafka, the clients and Kafka Connect move with little change, and Schema Registry can come along under the Confluent Community License. Enterprise features such as Cluster Linking, RBAC and Control Center each need a replacement before the move. The data itself usually moves with MirrorMaker 2 into a parallel cluster.
Can Azure Event Hubs replace Confluent?
Only for some workloads. Event Hubs speaks the Kafka protocol on its Standard, Premium and Dedicated tiers, but Microsoft lists Kafka transactions, exactly-once semantics, compression other than gzip and topic management through the Kafka AdminClient as unsupported.
