MaterializeInc/materialize

The live data layer for apps and AI agents. Create up-to-the-second views into your business, just using SQL

What it solves

Materialize is a real-time data integration platform that eliminates the need for complex, time-consuming custom data pipelines. It allows organizations to create and maintain consistent, live views of transactional data from across various sources, making it possible to serve fresh context for AI/RAG pipelines, power operational dashboards, and create dynamic customer experiences with minimal latency.

How it works

Materialize recasts SQL queries as "dataflows," which react efficiently to changes in the data as they happen. It supports the PostgreSQL protocol and dialect, allowing users to define views and perform reads via standard SQL clients. It can ingest data from PostgreSQL, MySQL, and Kafka (or Kafka-API compatible systems like Redpanda) and can push results back to Kafka or object storage.

Who it’s for

Data engineers and developers who need to deliver strongly consistent, real-time data products without the overhead of cache invalidation or the manual construction of complex ETL pipelines.

Highlights

  • Strong Consistency: Guarantees correct answers based on a recent version of the data, even when joining data from multiple upstream systems.
  • PostgreSQL Compatibility: Uses the PostgreSQL protocol and dialect, meaning it works with existing SQL clients and dbt Core.
  • Incremental Maintenance: Automatically and incrementally maintains views in the presence of arbitrary inserts, updates, and deletes.
  • Flexible Ingestion: Supports reading directly from replication streams of PostgreSQL, MySQL, and Kafka.
  • Recursive SQL: Extended SQL support for incrementally updating tree and graph structures.

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