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Discover top open-source software, updated regularly with real-world adoption signals.
Discover top open-source software, updated regularly with real-world adoption signals.
Real-time SQL platform delivering up-to-the-second data views
Materialize provides instantly consistent, low‑latency SQL views over transactional streams, enabling live dashboards, AI pipelines, and operational data meshes without custom pipelines.
Materialize is a real‑time data integration platform that continuously builds and updates SQL views over transactional streams. It targets data engineers, product teams, and developers who need instantly consistent answers without writing custom pipelines. By exposing a PostgreSQL‑compatible interface, existing tools and clients can query live data directly.
Materialize ingests change data from PostgreSQL, MySQL, Kafka‑compatible systems, and SaaS webhooks, then recasts each SQL query into an incremental dataflow. The engine guarantees that every result reflects a correct state of the source at a recent timestamp, eliminating eventual‑consistency trade‑offs. It supports the full PostgreSQL dialect—including multi‑way joins, delta‑joins, subquery decorrelation, JSON operators, and recursive queries—while sharing indices across overlapping views for efficiency. Deployments can run as a fully managed cloud service with multi‑active replication, horizontal scaling, and object‑storage‑backed durability, or be self‑hosted using the free Community edition (limited to 24 GiB memory and 48 GiB disk) or an Enterprise license.
When teams consider Materialize, these hosted platforms usually appear on the same shortlist.
Looking for a hosted option? These are the services engineering teams benchmark against before choosing open source.
Real‑time operational dashboard
Dashboard queries return up‑to‑the‑second metrics without cache staleness.
AI Retrieval‑Augmented Generation
LLM prompts are enriched with the latest transactional data via live SQL views.
CQRS query offload
Complex read workloads are served by Materialize, reducing load on primary databases.
Data integration hub
Multiple source streams are unified into consistent materialized views for downstream services.
It incrementally maintains materialized views as dataflows, guaranteeing each query reflects a correct result on a recent version of the source data.
PostgreSQL, MySQL replication streams, Kafka (and compatible systems), and SaaS applications via webhooks.
Yes, Materialize speaks the PostgreSQL protocol and uses the PostgreSQL dialect, so any PostgreSQL driver works.
Materialize can be run as a fully managed cloud service or self‑hosted using the Community or Enterprise editions.
The Community edition is free forever for deployments using less than 24 GiB of memory and 48 GiB of disk; a free cloud trial is also offered.
Project at a glance
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