Apache Flink vs Materialize
Apache Flink
flink.apache.orgMaterialize
materialize.comSide by side
| Figure | Apache Flink | Materialize |
|---|---|---|
| Price from | Free | $0.13/mo |
| Free plan | Yes | Yes |
| Free trial | — | Yes |
| Open source | — | — |
| Web | — | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 4 |
| Spec score · Streaming Analytics Software | 8.0 (#7) | 8.0 (#9) |
| Spec score · Stream Analytics Software | 8.1 (#8) | 8.1 (#12) |
| Spec score · Stream Processing Software | 8.1 (#8) | 8.0 (#10) |
| Spec score · Big Data Analytics Software | 8.0 (#14) | 8.0 (#16) |
| Integrations | Separately released connectors listed on the downloads page include AWS, Cassandra, Elasticsearch, Google Cloud PubSub, HBase, Hive, JDBC, Kafka, MongoDB, OpenSearch, Prometheus, Pulsar, and RabbitMQ. | The integrations page lists PostgreSQL, MySQL, SQL Server, CockroachDB, Kafka, Model Context Protocol, dbt and webhooks, including EventBridge and Segment. |
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
Apache Flink
Apache Flink is a free, self-hosted framework and distributed processing engine for stateful computations over unbounded and bounded data streams. It supports event-driven applications, stream and batch analytics, and data pipelines and ETL. Listed correctness features include exactly-once state consistency, event-time processing and late-data handling. APIs include SQL for stream and batch data, DataStream and ProcessFunction for time and state. Operational capabilities cover flexible deployment, high availability, savepoints, scale-out architecture, very large state and incremental checkpoints. The project lists low latency, high throughput and in-memory computing. Flink runs in common cluster environments; for Kubernetes, the Kubernetes Operator is identified as the standard deployment mechanism. Connectors include AWS, Cassandra, Elasticsearch, Google Cloud PubSub, HBase, Hive, JDBC, Kafka, MongoDB, OpenSearch, Prometheus, Pulsar and RabbitMQ. Security requires configuration because SSL/TLS, REST authentication and SQL Gateway authentication are disabled by default. It is available at free under Apache License v2.
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.