Kafka Alternatives: Which of 24 Keep Your Kafka Code Working?

Pick the wrong Kafka alternative and you rewrite every producer and consumer you own. Pick the right one and you change your connection settings.

That split matters more than speed or price. Of the 24 Kafka alternatives we checked, 15 speak Kafka’s own protocol, so your existing code connects to them as it is. The other 9 run a different engine, with different clients, and the rewrite is yours.

If what you’re escaping is running brokers, growing disks and paying for capacity you don’t use, you don’t need a new engine. You need someone else to run the one you have.

Key Facts

• 24 Kafka alternatives checked: 15 keep your Kafka clients, 9 need new client code.
• Cheapest fixed-price option that keeps your Kafka code: $35.38 a month, Selfhost.dev, 1 broker, t4g.medium (2 vCPU, 4 GB), us-east-1, plus S3 usage.
• Amazon MSK: $66.58 a month, 2 × kafka.t3.small, us-east-1, plus storage.
• Confluent Standard: $547.50 a month at 1 eCKU, always on. The printed “~$385” assumes about 70% uptime.
• Confluent, and WarpStream with it, has been owned by IBM since 17 March 2026.
• Diskless Kafka (topic data in S3) ships today in AutoMQ, WarpStream and Selfhost.dev. Apache Kafka’s own version (KIP-1150) is accepted, not released.

Why do teams look for Kafka alternatives?

Teams look for Kafka alternatives for one of three reasons: the brokers take too much work to run, the managed bill grows faster than the traffic, or the workload was never a replayable log. Each reason points to a different group of options, so name yours first.

• Running it. LinkedIn, where Kafka was born, wrote in June 2025 that “it became increasingly difficult to scale and operate Kafka”. Smaller teams hit the same wall: partitions to rebalance, disks to grow, brokers to patch.
• Paying for it. Confluent Standard costs $547.50 a month at 1 eCKU before any data moves. Amazon MSK Serverless has the same $547.50 floor ($0.75 per cluster-hour).
• Using the wrong model. Kafka keeps every event so many consumers can replay it. If each message is a job one worker takes and deletes, a queue is simpler.

A 3-broker Kafka cluster across availability zones comes to about $106 a month on Selfhost.dev in us-east-1. Change the broker size or region and the calculator updates the figure before you create anything.

See a 3-zone Kafka cluster priced, No Signup Needed

What do you lose when you leave Kafka?

Moving to a different engine costs you Kafka’s ecosystem, its Apache 2.0 licence and a project that still ships every few months. If those are why you chose Kafka, keep the protocol and change who runs it.

• The ecosystem. Kafka Connect, Kafka Streams, and clients in every major language. If your pipeline depends on connectors or Streams apps, that’s a real reason to stay on the protocol.
• The licence. Apache Kafka is Apache 2.0. Redpanda’s self-hosted edition is not.
• A simpler Kafka than you remember. Kafka 4.0 removed ZooKeeper in March 2025. Clusters now run on KRaft alone.
• Queues inside Kafka. Share groups (KIP-932) became production-ready in Kafka 4.2, in February 2026.
• Kafka 4.4.0 shipped on 22 October 2026, so the project is far from finished.

The 24 Kafka alternatives at a glance

Fixed-price options that keep your Kafka code run from $35.38 a month (Selfhost.dev, 1 broker) to $547.50 (Confluent Standard, 1 eCKU). The options that need new client code mostly bill by usage, so they’re listed separately: their entry prices aren’t comparable with a broker running all month.

The 15 that keep your Kafka code

The 9 that need new client code

Reading the tables: these are entry prices, not matched specs (our smallest broker has 4 GB of memory; MSK’s has 2 GB). Selfhost.dev’s figure excludes S3 storage for topic data ($0.031 per GB-month) and S3 requests, both billed on usage.

Selfhost.dev runs Kafka-compatible brokers built on AutoMQ that keep topic data in S3, in the same Selfhost.dev account and on the same bill as Postgres and Redis. It’s the cheapest fixed-price option here that keeps your Kafka code: $35.38 a month for one broker, or about $106 for three brokers across availability zones.

Which Kafka alternatives keep your Kafka code?

Fifteen Kafka alternatives speak Kafka’s protocol, which makes them the closest thing to a drop-in replacement. Producers and consumers keep their code and change only connection settings: bootstrap address, SASL mechanism, credentials and TLS. Two exceptions need a small auth helper: Amazon MSK’s IAM sign-in and Event Hubs’ OAuth.

Compatible means your clients connect; it doesn’t mean every feature behaves the same. The trade-off line in each entry names the gaps that matter. What else differs is who runs the brokers, where the data sits, and how the bill moves.

Selfhost.dev Managed Kafka

• Best for: Selfhost.dev Kafka fits teams that want Kafka next to their Postgres and Redis, in one Selfhost.dev account and on one bill (what that whole stack costs across providers).
• What it costs to run: $35.38 a month for 1 broker (t4g.medium, 2 vCPU, 4 GB) in us-east-1, or about $106 for 3 brokers across availability zones, plus S3 usage for topic data (checked November 2026).
• Key difference: Selfhost.dev runs Kafka-compatible brokers built on AutoMQ that keep topic data in S3, in the same Selfhost.dev account and on the same bill as Postgres and Redis. Brokers speak the Kafka 3.9.1 protocol, with SASL/SCRAM users and TLS on by default for new clusters.
• Trade-off: Kafka transactions aren’t available, so a producer with a transactional.id or a Kafka Streams app using exactly_once_v2 won’t run. Plain producers and consumers connect as they are.
• Worth knowing: topics use a replication factor of 1 by design, because durability and availability come from different places. With acks=all, the default in current Kafka clients, a broker confirms a write only once it’s in S3. The 3-broker setup spreads brokers across availability zones, keeps serving if one fails, and replaces the failed broker automatically. A single broker restarts itself automatically, but the cluster is offline until it’s back, so run 3 brokers for production. The Selfhost.dev Kafka page explains the design.

Redpanda

• Best for: Redpanda fits teams that want a Kafka-compatible engine on their own servers, without the JVM.
• What it costs to run: no current rates on Redpanda’s pricing page; Serverless and BYOC go through sales or a 30-day trial, no card (checked November 2026).
• Key difference: one C++ binary that keeps the log on local disk and moves older segments to object storage. “No ZooKeeper” no longer sets it apart: Apache Kafka dropped ZooKeeper in 4.0, in March 2025.
• Trade-off: Redpanda hasn’t built the server side of Kafka’s newer transaction protocol (KIP-890), so Kafka 4.x clients fall back to the older one.
• Worth knowing: the self-hosted Community Edition uses the Business Source License 1.1, not an open-source licence.

AutoMQ

• Best for: AutoMQ fits teams that want diskless Kafka under an open-source licence.
• What it costs to run: BYOC costs $300.03 a month in cluster uptime ($0.411 an hour), plus data fees and your own AWS bill. The open-source edition is free to run yourself (checked November 2026).
• Key difference: AutoMQ keeps Apache Kafka’s compute layer and swaps its disks for S3. Brokers hold no data of their own.
• Trade-off: writing straight to S3 is slow for latency-sensitive work. AutoMQ’s docs give a P99 produce time of 600+ ms on that path; the faster EBS or FSx path is a BYOC feature.
• Worth knowing: AutoMQ is Apache 2.0, and it’s the engine under Selfhost.dev Kafka.

WarpStream

• Best for: WarpStream fits teams that want diskless Kafka in their own cloud account (BYOC, bring your own cloud), with someone else running the control plane.
• What it costs to run: the Dev tier costs $100.74 a month always on ($0.0345 per 15 minutes; the page rounds to $100), plus $0.01 per GiB written and stored, plus your own cloud bill (checked November 2026).
• Key difference: stateless agents write straight to object storage. There are no brokers with disks.
• Trade-off: the Dev tier has no SLA. An SLA starts at Fundamentals, about $500 a month.
• Worth knowing: Confluent bought WarpStream in September 2024, so IBM owns it now. Its migration tool, Orbit, copies records with identical offsets.

Confluent Cloud

• Best for: Confluent Cloud fits teams that want the whole Kafka ecosystem managed: connectors, governance and stream processing.
• What it costs to run: Standard costs $547.50 a month at 1 eCKU running all month ($0.75 an hour), before data. Basic charges nothing for its first eCKU and bills $0.05 per GB in or out and $0.08 per GB-month stored (checked November 2026).
• Key difference: Confluent runs its own Kafka engine (Kora) and bills capacity units, not brokers.
• Trade-off: Basic has a 99.5% SLA and a 5 TB storage cap. Freight clusters don’t support share consumers.
• Worth knowing: Confluent’s printed “starting at” prices assume the cluster runs about 70% of the time. Always on, Standard is $547.50, not the “~$385” on the page.

Amazon MSK

• Best for: Amazon MSK fits AWS teams that want Apache Kafka itself, managed, inside their own VPC.
• What it costs to run: the cheapest cluster is 2 × kafka.t3.small at $66.58 a month in us-east-1, plus $0.10 per GB-month of storage. MSK Serverless starts at $547.50 (checked November 2026).
• Key difference: real Apache Kafka brokers that AWS patches. MSK Replicator syncs consumer offsets, so you can move producers and consumers in any order.
• Trade-off: kafka.t3.small brokers have 2 GB of memory and no tiered storage. The cheap cluster is for development.
• Worth knowing: IAM authentication is the one common case that needs code. Java clients add AWS’s aws-msk-iam-auth library.

Azure Event Hubs: Kafka clients, with gaps

• Best for: Azure Event Hubs fits Azure teams whose Kafka use is plain produce and consume.
• What it costs to run: Standard costs $21.90 a month for 1 throughput unit in East US, plus $0.028 per million events. Basic has no Kafka endpoint (checked November 2026).
• Key difference: Event Hubs runs no Apache Kafka code. It answers Kafka clients through a protocol endpoint. Microsoft’s own docs: “For full Kafka protocol compatibility, use Premium or Dedicated tier.”
• Trade-off: Kafka Streams and transactions are preview-only, on Premium and Dedicated. Compression is gzip only, on those tiers. Standard caps compacted data at 1 GB per partition.
• Worth knowing: Microsoft says you can “often” switch without code changes. OAuth needs a callback handler class, and Kafka’s AdminClient can’t manage topics.

Managed Apache Kafka hosts

Eight more options run Apache Kafka itself, or a fork of it. For these, compatibility is a version question, not a protocol one.

StreamNative announced its Kafka Service (Ursa for Kafka) as generally available on Dedicated and BYOC on 8 October 2026. For the wider platform picture beyond Kafka, see how Selfhost.dev compares with Aiven and DigitalOcean.

How hard is it to move between them?

Moving between Kafka-compatible systems means copying data and consumer positions, then pointing clients at the new address. The tool you use decides whether offsets survive.

• MirrorMaker 2 (Apache Kafka, since 2.4): translates offsets rather than keeping them, and renames each topic to {source}.{topic} by default.
• Confluent Cluster Linking, WarpStream Orbit, AutoMQ Kafka Linking: keep identical offsets, so consumers resume exactly where they stopped.
• Amazon MSK Replicator: translates offsets but keeps them in sync, so producers and consumers can move in any order.
• Stateful jobs (Kafka Streams, Flink): still need their state rebuilt or restored, per AWS.

Which Kafka alternatives mean rewriting your code?

If you’re changing your architecture anyway, nine Kafka alternatives use a different engine with its own client libraries, so moving means rewriting producers and consumers. Teams do it for something Kafka’s model doesn’t give them: a lighter broker, a work queue, or a cloud service with nothing to size. Redis Streams, Postgres and SQS are covered in Do you need Kafka?

Apache Pulsar

Apache Pulsar separates stateless brokers from storage in Apache BookKeeper, with built-in multi-tenancy and geo-replication.

• Cost: StreamNative’s Serverless Pulsar starts at $73 a month for 1 ETU ($0.10 an hour), plus data.
• Kafka clients: don’t work. The Kafka protocol plugin (KoP) was archived in January 2024, and the Kafka client wrapper stopped at version 2.11.0.
• The Kafka route: StreamNative’s separate Kafka Service, counted in the compatible group.

NATS JetStream: the lightweight Kafka alternative

NATS JetStream adds persistence to the NATS server, a single small binary built for edge, IoT and service-to-service messaging.

• Cost: Synadia Cloud is free on the Personal plan, then $49 a month for Starter.
• Status: graduated in the CNCF on 2 November 2026, under Apache 2.0.
• Kafka clients: don’t work. A NATS-to-Kafka bridge moves data, not clients.

RabbitMQ Streams

RabbitMQ added Streams, a replayable append-only log, in version 3.9. Teams already running RabbitMQ for task queues can add log-style consumers without a second system.

• Cost: CloudAMQP’s shared plans start free; its smallest dedicated RabbitMQ node is $50 a month.
• Kafka clients: don’t work. Streams use RabbitMQ’s own clients and stream protocol.

Kinesis and Pub/Sub: Kafka alternatives on AWS and Google Cloud

Both are fully managed, with their own APIs and nothing to size in advance.

• Amazon Kinesis Data Streams: $10.95 a month per provisioned shard in us-east-1, plus $0.014 per million PUT units. Each shard takes 1 MB/s or 1,000 records a second. AWS’s own FAQ points Kafka users to MSK.
• Google Pub/Sub: no fixed charge. $40 per TiB, with the first 10 GiB a month free.
• On Azure: Event Hubs plays this role, with a Kafka endpoint (above).

Solace Platform, the ninth, is an enterprise event broker with no Kafka API, only bridges to Kafka clusters, and no public prices.

What about Fluss, Iggy, Tinybird and Northguard?

They come up in AI answers, but none is in our 24:

• Apache Fluss: lakehouse streaming storage; no Kafka protocol in a release.
• Apache Iggy: its Kafka gateway is still in development.
• Tinybird: an analytics platform, not a broker.
• LinkedIn Northguard: internal to LinkedIn, not available to anyone else.

Do you need Kafka at all?

You need Kafka when several independent consumers must read and replay the same stream of events at volume. If each message is a job that one worker takes and finishes, a database or a queue does it with nothing new to run. Work out which one you have before comparing brokers.

• Postgres as a queue. SELECT … FOR UPDATE SKIP LOCKED (since Postgres 9.5) lets many workers take jobs from one table without blocking each other. pgmq, River, Oban and pg-boss package the pattern. NOTIFY can wake workers, but its payload must stay under 8,000 bytes and it only reaches sessions listening at that moment.
• Redis Streams. Streams with consumer groups since Redis 5.0. The data lives in memory, and with the usual once-a-second disk sync a crash can lose about a second of writes.
• Amazon SQS. $0.40 per million requests in us-east-1, first million a month free. Messages are deleted once processed, so there’s nothing to replay.
• Kafka’s own queues. Need both? Kafka 4.2’s share groups give queue-style consumers on the same cluster as your streams.

If your messages are jobs rather than replayable events, Postgres or Redis Streams may be all you need, with no separate Kafka cluster to run. Managed Postgres and Redis on Selfhost.dev both start at $6.41 a month in us-east-1.

→ Price the Postgres or Redis you’d use instead

Comparing providers first? See managed Postgres prices compared and managed Redis prices compared.

Which Kafka alternative should you choose?

Choose by what you’re keeping. If your code stays, pick among the 15 Kafka-compatible options by who runs the brokers and how you’re billed. If you’re changing models anyway, pick the engine that fits the new one. If the work is a job queue, skip Kafka.

• If you want to keep your Kafka code and run fewer moving parts, pick a diskless option: AutoMQ to run it yourself, WarpStream in your own cloud, or Selfhost.dev managed.
• If you’re on AWS and want Apache Kafka itself, managed, pick Amazon MSK.
• If you need a lightweight broker for edge or service messaging, pick NATS JetStream.
• If your stream is really a job queue, use Postgres with SKIP LOCKED, or Amazon SQS.
• If you want Kafka next to your Postgres and Redis on one bill, pick Selfhost.dev managed Kafka.

More specific needs

Tell us what your Confluent or MSK cluster costs today. A founder replies with a line-by-line comparison of what moves, what it costs and where the savings are, usually within two working days. Free, whether or not you switch.

→ Get a line-by-line comparison of your Kafka bill

The Decision

Most teams aren’t escaping Kafka; they’re escaping running it. If that’s you, keep the protocol and choose by who runs the brokers and how the bill moves, starting from the table at the top. Change engines only for something Kafka’s model can’t do, and drop Kafka when the work is a queue.

If you want Kafka priced per broker next to the rest of your stack, Selfhost.dev runs Kafka-compatible brokers built on AutoMQ that keep topic data in S3, in the same Selfhost.dev account and on the same bill as Postgres and Redis.

Test your existing Kafka code against a real cluster: start a broker on $5 of credit, point your producer and consumer at it, and check they work unchanged. One broker costs about $35 a month, so the credit lasts about 4 days. No card needed.

→ Run your Kafka clients against a real broker, free

Keep reading: Best managed database services · Selfhost.dev Kafka · Best managed ClickHouse service · Ways to move data from Postgres to ClickHouse

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