Redpanda vs Apache Kafka
Redpanda vs Apache Kafka compared for 2026: Kafka 4.4 (KRaft only, JVM) vs Redpanda 26.2 (C++, thread-per-core, Raft per partition), Kafka API compatibility and its exceptions, licensing (Apache 2.0 vs BSL and Enterprise licence), tiered storage, share groups, schema registry and connectors, hardware requirements, managed Serverless and BYOC limits, support windows, and a clear pick per situation.
Quick Answer
Apache Kafka is the reference implementation of the Kafka protocol: a JVM-based, Apache-2.0 event streaming platform run by the Apache Software Foundation. Since 4.0 (March 2025) it runs only in KRaft mode, with no ZooKeeper; 4.4.0 shipped on 22 October 2026 with 25 KIPs. It includes Kafka Connect, Kafka Streams, MirrorMaker 2, tiered storage (via a remote storage plugin you supply) and, since 4.2, production-ready share groups (Queues for Kafka). Redpanda is a Kafka-API-compatible broker written in C++ on the Seastar thread-per-core framework, with Raft replication per partition and a single binary that also carries a schema registry and HTTP proxy. Clients built for Kafka protocol 0.11 or later work with minimal or no changes, with a short list of documented exceptions. The catch is licensing: Redpanda Community Edition is source-available under the Business Source License (you cannot offer it as a commercial streaming service), and tiered storage, Iceberg topics, RBAC, OIDC, audit logging, continuous balancing and cross-cluster shadowing need an Enterprise licence. Redpanda's pricing page says Community is free up to 50 CPU cores per company. Pick Kafka for a fully open-source stack, the newest protocol features and the widest ecosystem. Pick Redpanda for fewer moving parts on fast NVMe hardware, or a managed BYOC cluster in your own cloud.
Last updated November 13, 2026. Covers Apache Kafka 4.4.0 (22 October 2026) and Redpanda v26.2 (latest GitHub release v26.2.2), using kafka.apache.org downloads, release announcements and 4.4 docs, docs.redpanda.com (licensing, requirements, architecture, Kafka compatibility) and redpanda.com pricing, read in November 2026.
| Feature | Redpanda | Apache Kafka |
|---|---|---|
| License | Community Edition: Redpanda Business Source License (source-available; no offering as a commercial streaming/queuing service; converts to Apache 2.0 four years after each merge). Enterprise Edition: Redpanda Community License (RCL) plus licence key | Apache License 2.0 |
| Project & Governance | Single-vendor project from Redpanda Data, Inc. | Apache Software Foundation project with many contributing companies |
| Implementation | C++ on the Seastar framework, thread-per-core with message passing between pinned threads; no JVM | Java and Scala on the JVM; Java 17, 21 and 25 fully supported (Java 25 recommended), Java 11 for clients and Streams |
| Replication & Metadata | Every partition is a Raft group (2f+1 replicas tolerate f failures); cluster metadata in a controller partition replicated by a Raft group of all brokers | Leader/follower replication with in-sync replicas per partition; metadata in a KRaft quorum of controllers (typically 3 or 5; a majority must be alive) |
| Components to Run | One binary per broker that includes the Kafka API, schema registry and HTTP proxy (pandaproxy); at least three brokers recommended, one per dedicated node | Brokers plus KRaft controllers (dedicated or combined); ZooKeeper removed in 4.0. Docker images apache/kafka and apache/kafka-native |
| Kafka API Compatibility | Clients for Kafka protocol 0.11+ work with minimal or no changes; exceptions: one SASL/SCRAM mechanism per user, no request_percentage quota, HTTP proxy has no topic/ACL CRUD, min.insync.replicas and similar configs accepted but ignored, no server-side KIP-890 | The reference Kafka protocol implementation; 4.4 adds TxnOffsetCommit v6, controller unregistration and other KIPs |
| Hardware Requirements | Linux (RHEL/CentOS 8+, Ubuntu 20.04+), x86_64 (Westmere+) or ARM64; at least 2 physical cores per node (4 recommended), 2 GB RAM per core, 2 MB per partition replica; XFS (recommended) or ext4, local NVMe; IPv4; 10 GbE minimum; kernel tuning for production | Any Unix-like OS, tested on Linux and Solaris; Windows not well supported. Docs' example: dual quad-core, 24 GB RAM; memory estimate write_throughput x 30 s; multiple data disks; file descriptor limit 100,000+ |
| Storage Model | Local log segments on XFS/ext4 with DMA I/O; NFS unsupported for data or tiered cache | Writes go to the filesystem page cache; default settings rely on OS background flush and replication for durability rather than fsync |
| Tiered / Object Storage | Tiered Storage to object storage (S3, GCS and others) and Cloud Topics backed primarily by object storage, both Enterprise features | Tiered storage in the open-source broker (GA in 3.9); requires a third-party RemoteStorageManager plugin; 4.4 adds delayed upload to reduce redundancy |
| Queue Semantics (Share Groups) | Not listed on Redpanda's Kafka compatibility page either way; verify share-group (KIP-932) support before relying on it | Share groups (KIP-932, Queues for Kafka) production-ready in 4.2 (17 Feb 2026); dead-letter queues for share groups in 4.4 |
| Schema Registry & HTTP Proxy | Built into the broker binary: schema registry and HTTP proxy; schema registry authorization and server-side schema ID validation are Enterprise | Not part of the Apache Kafka distribution; use a third-party schema registry and REST proxy |
| Connectors | Redpanda Connect: declarative YAML pipelines, 300+ connectors per Redpanda; some connectors are Enterprise-only. Kafka Connect also works against the Kafka API | Kafka Connect framework in the project; connectors from the wider ecosystem |
| Stream Processing | No stream-processing library of its own in the broker; Kafka Streams is a client library, so test it against Redpanda before relying on it; Redpanda Connect has processors for stateless pipelines | Kafka Streams library in the project (4.4 adds opt-in transactional state stores, KIP-892) |
| Cross-Cluster Replication / DR | Shadowing: asynchronous, offset-preserving replication between clusters, and Remote Read Replicas, both Enterprise | MirrorMaker 2, built on Kafka Connect, for cross-cluster replication |
| Partition Balancing | Partition balancing on node add in Community; Continuous Data Balancing and intra-broker core balancing are Enterprise | Partition reassignment tooling in the project; continuous automatic balancing needs external tools |
| Authentication & Authorization | TLS and SASL in Community; RBAC, OIDC/OAUTHBEARER, Kerberos, group-based access control, audit logging and FIPS are Enterprise | TLS, SASL (GSSAPI/Kerberos, PLAIN, SCRAM, OAUTHBEARER) and ACLs in open source |
| Web UI | Redpanda Console (Redpanda says it also works with Apache Kafka); Console SSO login and RBAC need an Enterprise licence | None in the project; third-party UIs (Redpanda Console among them) connect to Kafka |
| Vendor-Managed Option | Redpanda Cloud Serverless (multi-tenant AWS/GCP, 100 MB/s write, 300 MB/s read, 5,000 partitions, 99.9% SLA) and BYOC (your AWS/GCP/Azure, 2 GB/s write, 4 GB/s read, 112,500 partitions, 99.99% SLA) | Not offered by the ASF; many cloud providers and vendors sell managed Kafka |
| Pricing | Community: free (pricing page: up to 50 CPU cores per corporate entity). Enterprise: 30-day trial, then contact sales. Serverless: pay-as-you-go or annual commit. BYOC: annual commitment. No list prices published 7/10 | Free; costs are your infrastructure, operations and any third-party support or managed service 10/10 |
| Release & Support Policy | Feature releases roughly every four months, each supported about a year: v26.2 (Jul 2026, to 28 Jul 2027), v26.1 (to 31 Mar 2027), v25.3 (to 19 Nov 2026) | Roughly three minor releases a year; supported releases currently 4.4.0, 4.3.2 and 4.2.2 |
| Latest Release (Nov 2026) | v26.2.2 (22 August 2026 on GitHub releases); docs line v26.2 | 4.4.0 (22 October 2026); 4.3.2 (23 October 2026) |
Pricing at a glance
Entry prices and free tiers as listed on TechLogHub for Apache Kafka; the other tool is not listed in the directory yet.
| Tool | Free tier | Starts at | Billing | Plans listed |
|---|---|---|---|---|
| Apache Kafka pricing | Yes | — | — | Open source - free under the Apache License 2.0; self-managed |
Prices as written by the maker on their listing; medians and context on each tool's pricing page. See the 2026 pricing report for the directory-wide picture.
Redpanda
Redpanda is a Kafka-API-compatible streaming data platform written in C++ by Redpanda Data. It uses the Seastar library's thread-per-core model, replicates every partition with its own Raft group, and ships brokers, schema registry and HTTP proxy in one binary. It comes as a source-available Community Edition, a licensed Enterprise Edition, and Redpanda Cloud (Serverless and Bring Your Own Cloud).
Pros
- Single binary: no JVM, no ZooKeeper or separate controller nodes, with schema registry and HTTP proxy built in
- Existing Kafka clients (protocol 0.11+) work with minimal or no changes; Redpanda validates the Java client and popular non-Java clients
- Raft per partition, with metadata in a controller partition replicated across all brokers, so there is one consensus model to reason about
- Thread-per-core design pins work to CPU cores and uses DMA disk I/O, aimed at getting more out of each NVMe node before scaling out
- Managed BYOC runs fully managed clusters inside your own AWS, GCP or Azure account (up to 2 GB/s writes, 99.99% SLA per the pricing page)
- Redpanda Console and Redpanda Connect (300+ connectors per Redpanda) come from the same vendor
Cons
- Community Edition is BSL, not open source: you may not offer Redpanda as a commercial streaming or queuing service, and code only converts to Apache 2.0 four years after each merge
- Tiered storage, Iceberg topics, Cloud Topics, RBAC, OIDC and Kerberos auth, audit logging, continuous balancing and shadowing (DR) are Enterprise-licence features
- Strict hardware expectations: XFS or ext4 (no NFS), local NVMe strongly recommended, at least 2 GB RAM per core, IPv4 between brokers, 10 GbE minimum, one broker per node
- Documented compatibility gaps: one SCRAM mechanism per user, no request_percentage quota, HTTP proxy cannot manage topics or ACLs, some Kafka topic configs are accepted but ignored
- No published dollar prices for Enterprise, Serverless or BYOC on the pricing page
Best For
Teams that want Kafka-protocol streaming with fewer components to operate, run on modern NVMe hardware, or want a vendor-managed cluster in their own cloud account, and whose use does not conflict with the BSL.
Apache Kafka
Apache Kafka is the open-source distributed event streaming platform governed by the Apache Software Foundation and the origin of the Kafka protocol. It runs on the JVM, has used KRaft for metadata exclusively since 4.0, and ships Kafka Connect, Kafka Streams and MirrorMaker 2 in the same project. Dozens of vendors, from managed clouds to Redpanda, build on or implement its protocol.
Apache Kafkaon TechLogHub: reviews, pricing & alternativesPros
- Apache 2.0 under the ASF: no usage restrictions, no licence keys, no features held back for a paid edition
- Reference implementation of the protocol, so new features (share groups, KIP-890 transactions, KRaft improvements) land here first
- No ZooKeeper since 4.0: brokers plus a 3- or 5-node KRaft controller quorum, or combined nodes for small setups
- Kafka Connect, Kafka Streams and MirrorMaker 2 are part of the project, with a very large third-party ecosystem around them
- Share groups (Queues for Kafka) production-ready since 4.2, with dead-letter queues added in 4.4
- Tiered storage is in the open-source broker, and every major cloud and many vendors offer managed Kafka
Cons
- Runs on the JVM, so heap sizing and GC tuning are part of operating it (the docs still publish recommended G1 flags)
- More components to plan: controllers and brokers, plus a separate schema registry, REST proxy and UI from other projects
- Tiered storage ships no RemoteStorageManager implementation; you must bring a plugin for S3 or other object storage
- Hardware and OS guidance in the docs is old (dual quad-core, 24 GB, SATA drives) and Windows is not well supported
- No vendor support from the ASF itself; support comes from third-party providers
Best For
Teams that want a fully open-source streaming platform, need the newest protocol features such as share groups, depend on Kafka Streams or a broad Connect ecosystem, or will run it through a managed Kafka service.
Architecture: JVM plus KRaft vs C++ plus Raft per partition
Kafka 4.0, released in March 2025, was the first major release to run entirely without ZooKeeper; a Kafka cluster is now brokers plus a KRaft controller quorum. The docs say admins typically pick 3 or 5 controllers, a majority must be alive, and combined broker-plus-controller nodes are fine for small or development setups but less isolated. Data replication still uses Kafka's leader/follower model with in-sync replicas, and the broker leans on the operating system page cache: the docs recommend leaving application fsync disabled and relying on replication for durability. Redpanda takes a different route. Each partition is its own Raft group, so a write is acknowledged once a majority of replicas have it, and cluster metadata lives in a controller partition replicated across all brokers. The broker is C++ on Seastar: one thread pinned per core, message passing instead of locks, DMA disk I/O and memory pre-allocated per core. Redpanda markets this as up to 10x lower latency and 3 to 6x better cost efficiency; those are vendor figures, not independent benchmarks, and the real difference depends on your workload, disks and tuning. What is not in dispute: Redpanda has fewer processes and no JVM to tune.
Licensing is the real decision
Kafka is Apache 2.0, full stop: tiered storage, ACLs, Connect, Streams and MirrorMaker are all in the free project and nobody can turn them off. Redpanda's licensing has three layers. The Community Edition is under the Redpanda Business Source License: the code is on GitHub and free to use, but you may not provide Redpanda as a commercial streaming or queuing service to others, and each change only becomes Apache 2.0 four years after it is merged. Redpanda's pricing page adds that Community Edition is free for up to 50 CPU cores per corporate entity. The Enterprise Edition, under the Redpanda Community License plus a licence key, unlocks Tiered Storage, Cloud Topics, Iceberg topics, Remote Read Replicas, Shadowing for DR, Continuous Data Balancing, RBAC, OIDC and Kerberos authentication, audit logging, FIPS, leader pinning, schema registry authorization and topic recovery, plus SSO and RBAC in Redpanda Console. New clusters get a 30-day trial. When a licence lapses the cluster keeps running without data loss, but you cannot create or modify topics using those features, and Redpanda blocks upgrades to new feature releases while enterprise features are active without a licence. Plan for that before you enable tiered storage on a trial.
Compatibility: what actually breaks when you swap brokers
Redpanda says Kafka clients built for protocol 0.11 or later work with minimal or no changes, and it validates the Java client and a set of popular non-Java clients against Kafka 4.x protocol versions using its ducktape and chaos suites. Its compatibility page also lists the exceptions, and they are worth reading before a migration. A user can have only one SASL/SCRAM mechanism (SHA-256 or SHA-512, not both). The Kafka request_percentage quota is not supported; byte-rate and controller mutation quotas are. The HTTP proxy produces and consumes but cannot create topics or manage ACLs. Some topic configs, including min.insync.replicas and unclean.leader.election.enable, are accepted so tools keep working but have no effect, because Raft replaces the ISR mechanism. Redpanda does not implement the server-side part of KIP-890 and says its transactions are not susceptible to that class of error. Newer Kafka features are the other risk: share groups (Queues for Kafka) became production-ready in Kafka 4.2 and gained dead-letter queues in 4.4, and Redpanda's compatibility page does not mention them either way. If your design depends on share groups, test them on Redpanda first or stay on Kafka.
Running it yourself: hardware, storage and day-two work
Redpanda's production requirements are specific. One broker per dedicated node, at least three brokers, Linux (RHEL 8+ or Ubuntu 20.04+), at least two physical cores per node with four strongly recommended, 2 GB of RAM per core plus 2 MB per partition replica, XFS (ext4 allowed, NFS not), locally attached NVMe strongly recommended, IPv4 between brokers (IPv6-only clusters do not form) and at least 10 GbE. You also run its kernel tuning before production, and Redpanda warns against automatic node upgrades. Kafka's hardware page is far looser and visibly dated, with an example of dual quad-core Xeons, 24 GB of RAM and SATA drives, a memory rule of thumb of 30 seconds of write throughput, and advice on file descriptors and vm.max_map_count. The bigger day-two difference is what you assemble. Kafka needs JVM settings (the docs list G1 flags), a separate schema registry, a UI and, for tiered storage, a RemoteStorageManager plugin because Kafka ships none. Redpanda bundles the schema registry and HTTP proxy and offers Console, but continuous partition balancing and tiered storage are behind the Enterprise licence. On Kafka, rebalancing is reassignment tooling or third-party automation.
Managed options, support windows and cost
The Apache Software Foundation does not sell anything, so Kafka support and hosting come from cloud providers and vendors, which is also Kafka's biggest practical advantage: you can move between managed services without changing protocol or licence. Kafka ships roughly three minor releases a year; the downloads page lists 4.4.0, 4.3.2 and 4.2.2 as supported. Redpanda sells its own cloud. Serverless is multi-tenant on AWS or GCP with 100 MB/s write, 300 MB/s read, 5,000 partitions and a 99.9% SLA, billed pay-as-you-go or by annual commit. BYOC runs fully managed clusters in your own AWS, GCP or Azure account with up to 2 GB/s write, 4 GB/s read, 112,500 partitions, a 99.99% SLA and an annual commitment, after a 14-day trial. No dollar prices are on the pricing page; Redpanda offers a TCO comparison through sales. Self-managed Redpanda feature releases are supported for about a year (v26.2 to July 2027, v26.1 to March 2027, v25.3 to 19 November 2026), so plan an upgrade at least yearly. For cost, Kafka is free software plus your infrastructure and people. Redpanda can mean fewer nodes and less tuning, but long retention or RBAC means an Enterprise contract.
Verdict
Pick Apache Kafka if you want the open-source default: Apache 2.0 with nothing held back, the reference protocol with features like share groups (production-ready in 4.2) arriving first, Kafka Streams and Connect in the box, and the option to hand it to almost any managed Kafka provider later. Since 4.0 the old ZooKeeper complaint is gone; you run brokers plus a 3- or 5-node KRaft quorum. Budget for JVM tuning, a separate schema registry and UI, and a third-party plugin if you want tiered storage. Pick Redpanda if operational simplicity on good hardware matters more than licence purity: one C++ binary with schema registry and HTTP proxy, Raft everywhere, existing Kafka clients unchanged, and a managed BYOC option in your own cloud account. Read the licence first. Community Edition is BSL, Redpanda's pricing page caps free use at 50 CPU cores per company, and tiered storage, RBAC, OIDC, audit logs and DR shadowing need an Enterprise licence, so a production Redpanda cluster with long retention is in practice a commercial product. If you resell streaming as a service, Redpanda Community is off the table.