Keep your SQL models and dbt workflow - Use a streaming database to run complex analytical transformations in real-time.
Insights can only move as fast as the data behind them. Access to real-time data means real-time decision making - whether it be in the form of an event-driven application, or a product leader making a call based on the current state of a metric.
With Timely Dataflow and Differential Dataflow, Materialize delivers support for real-time analytic workloads without sacrificing consistency guarantees. Teams can easily build analytical tests, operationalize reports and dashboards, and ensure insights are based on the most current data available.
Materialize is PostgreSQL wire-compatible, enabling connection with BI tools like Looker, Metabase and more.
Query or subscribe to data in Materialize directly from customer-facing applications, without the need for complex caching.
Monitor your data pipelines as you would any other production system and get notified - in real-time - when data quality expectations fail. No need for an orchestrator to schedule data model runs.
Create live customer service dashboards, manage IoT device performance, and automate logistics-focused dashboards.
Materialize is built from the ground up to solve complex issues hindering adoption of streaming tools.
Get access to real time without rebuilding or rehiring: Materialize uses familiar database abstractions and ANSI-standard SQL.
Materialize efficiently handles complex SQL joins on streaming data.
No Kafka? No problem. Materialize connects directly to your Postgres DB via Change Data Capture (CDC).
Unlike other streaming solutions, Materialize is strongly consistent: Incomplete results are never served to the user.
Materialize is Postgres wire-compatible: Tools that connect to Postgres can connect and query Materialize.
Warehouses help you report on data, move the same SQL to Materialize to serve high concurrency, low latency data products.
The power of materialized views - but always up-to-date
Easily manage streams from Kafka or Redpanda
Connect directly to any Postgres database via CDC.
Use dbt to model data and create real-time analytics
Full support for joins, subqueries, CTEs, inserts, and deletes.
Connect to the ecosystem of Postgres tools
Get updated results as data changes with query subscriptions.
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