Amazon Kinesis
Data Plane · Streaming & Stream Processing
AWS services for collecting and processing real-time streaming data.
- Cloud service
Data Plane · Streaming & Stream Processing
Kafka API-compatible streaming data platform written in C++.
Redpanda is a Kafka-compatible streaming platform rewritten from scratch. Producers and consumers use the Kafka API unchanged, so it is a drop-in replacement at the client level, but nothing inside is Kafka's code.
The design is the pitch. It is written in C++ with a thread-per-core model, using the Seastar library, to get more out of the same hardware, with Raft for replication.
It ships as a single binary with the schema registry, HTTP proxy and broker built in, and no external dependencies at all, meaning neither ZooKeeper nor KRaft nor a JVM.
The vendor's claims are specific: ten times lower average latencies than Kafka on identical hardware, and three to six times fewer compute resources.
Be precise about the licence, because "open-source Kafka alternative" would be wrong. The community edition is under the Business Source License, which forbids offering Redpanda as a commercial streaming service and converts each merge to Apache 2.0 four years later.
The enterprise feature list is long enough to matter when comparing: tiered storage, role-based access control, audit logging, Iceberg topics, cloud topics, Kerberos and OIDC authentication, FIPS compliance and whole-cluster restore are all licensed features.
Tiered storage offloads log segments to object storage, and the newer cloud topics put topic data directly there, enabled by default when object storage is configured in the current release.
The lakehouse feature is Iceberg topics, storing topic data in Iceberg format so Snowflake, Databricks, ClickHouse and Redshift can read it, with either in-bucket cataloguing or an Iceberg REST endpoint.
The AI direction is an agentic data plane, with Model Context Protocol integration, more than 300 connectors including AI and GPU services, and bring-your-own-cloud deployment.
Pricing is the weak spot for comparison. Redpanda publishes essentially no unit rates, only trial credits, and its price estimator is a contact form.
The same headings are used for every streaming & stream processing entry, so two tools can be read side by side.
Price on requestQuote only; free trial credits published
Redpanda publishes no unit rates. Serverless is described as pay as you go or annual commitment, bring your own cloud as an annual commitment, and dedicated capacity carries no published price at all; the estimator page is a sales contact form. The only hard figures are trial credits, $100 for 30 days on AWS serverless, or $300 through the AWS and Google Cloud marketplaces. Self-managed enterprise pricing is not published, though new clusters get a 30-day trial licence, and the community edition is free to download under the Business Source License.
Redpanda Data was founded in 2019 by Alex Gallego, is based in San Francisco and runs a fully remote team across more than 17 countries. It is privately held and venture-funded, raising a Series A led by Lightspeed with GV in 2021, $100m Series C in June 2023 taking total capital to $165m, and a $100m Series D led by GV in April 2025 at a $1bn valuation, announced with its agentic AI platform. Licensing is two-tier: the community edition under the Business Source License, converting to Apache 2.0 after four years, and the enterprise edition under the Redpanda Community License with a licence key.
Founded 2019 · San Francisco, California · redpanda.com
Data Plane · Streaming & Stream Processing
AWS services for collecting and processing real-time streaming data.
Data Plane · Streaming & Stream Processing
Stateful stream processing framework for real-time computation over unbounded data.
Data Plane · Streaming & Stream Processing
Distributed event streaming platform for high-throughput data pipelines and streaming applications.
Data Plane · Streaming & Stream Processing
Managed event ingestion service on Azure, with a Kafka-compatible endpoint.
Data Plane · Streaming & Stream Processing
Data streaming platform built around Apache Kafka, available as a cloud service or self-managed.
Drafted with AI assistance and checked against the vendor’s own documentation.