Kafka Streams vs Materialize
Kafka Streams
kafka.apache.orgMaterialize
materialize.comSide by side
| Figure | Kafka Streams | Materialize |
|---|---|---|
| Price from | Free | $0.13/mo |
| Free plan | Yes | Yes |
| Free trial | — | Yes |
| Open source | — | — |
| Web | — | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | Yes |
| API | — | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 4 |
| Spec score · Stream Analytics Software | 7.9 (#15) | 8.1 (#12) |
| Spec score · Stream Processing Software | 7.8 (#15) | 8.0 (#10) |
| Deployment | Kafka Streams applications can be deployed to containers, virtual machines, bare metal, or cloud environments. | Materialize is offered as a fully managed Cloud service, self-managed software for Kubernetes environments, and a Docker-based local development Emulator. |
| Founded | 1999 | 2019 |
| Integrations | Kafka's ecosystem includes tools for stream processing, Hadoop integration, monitoring, and deployment, and Kafka Connect provides connectors for external systems. | The integrations page lists PostgreSQL, MySQL, SQL Server, CockroachDB, Kafka, Model Context Protocol, dbt and webhooks, including EventBridge and Segment. |
| Support | The Kafka project provides user, developer, JIRA, and commit mailing lists for community support and project communication. | Cloud On-Demand includes chatbot and helpdesk ticket support, while Cloud Capacity includes a dedicated account team and guided onboarding. |
Plans
Materialize
- Community LicenseFree
- Cloud Capacity$1.50 a year
- Cloud On-Demand$1.50 a month
- Enterprise LicensePrice not published
In their own words
Kafka Streams
Kafka Streams is a free client library for building applications and microservices that use data stored in Kafka clusters. It processes Kafka data with event-time handling, windowing, and real-time queries of application state. The Streams DSL provides operations such as mapping, filtering, joins, and aggregations, while the Processor API supports custom processors and state stores. Fault-tolerant local state supports stateful work such as windowed joins and aggregations, and the library offers exactly-once processing semantics. Applications can run on one machine or scale across multiple machines, and can be deployed in containers, virtual machines, on bare metal, or in cloud environments. Kafka Streams uses Kafka as its internal messaging layer and does not require a separate processing cluster. It supports Java and Scala and integrates with Kafka security features for encryption in transit, client authentication, and authorization. The software is licensed under Apache License 2.0. The Apache Software Foundation says it does not sell its software or provide formal or commercial support for its packages; project communication is available through community mailing lists.
Materialize
Materialize is a live data layer for apps and AI agents that uses SQL to create up-to-the-second views. Rather than rebuilding query results from scratch as data arrives, it updates them incrementally. Connected sources appear as continually updating tables with sub-second freshness. SQL features include multi-way, lateral, and outer joins, recursive SQL, and SUBSCRIBE, which streams query-result changes over a standard Postgres connection.
Materialize is wire-compatible with PostgreSQL and supports clients and tools that work with PostgreSQL. Listed integrations include PostgreSQL, MySQL, SQL Server, CockroachDB, Kafka, Model Context Protocol, dbt, and webhooks such as EventBridge and Segment. Transformed updates can go to downstream systems including Kafka and Apache Iceberg. It is available as managed Cloud, self-managed Kubernetes software, and a Docker-based local development Emulator. The free self-managed Community Edition is limited to 24 GiB memory and 48 GiB disk. Cloud On-Demand is $1.50 a month, with usage-based compute, storage, and networking; Cloud Capacity is $1.50 a year, with storage and networking billed separately.