The Operational Data Warehouse
Built to take action on what’s happening right now.
Trusted by teams that deliver fresh, correct results.
How do you operate with the freshest data available?
Existing solutions make it incredibly difficult to serve operational use cases that demand fresh data.
- Custom streaming solutions require custom engineering and often don’t support SQL
- Data warehouses are built on a slow batch architecture and are expensive to use for time-sensitive use cases
Materialize takes the best of both worlds, combining the ease of use of your data warehouse with the speed of streaming to enable you to operate with data now.
Serve any use case that needs fresh and consistent data
You’re here because it’s time to move beyond analytics and operate your business with data. Materialize can serve nearly any use case that requires fresh and consistent data, but there are a few common use cases that might look familiar:
Automation and Alerting
→Eliminate manual work, remove delays, move faster by actioning automatically on your data.
User-Facing Apps and Features
→Dashboards and data products need to be reactive to up-to-the-minute changes in your business.
Real-Time Customer Data Platforms
→Value of personalization, recommendations, dynamic pricing increases as latency of data aggregations approaches zero.
ML and AI Serving
→Online feature stores need updated data, operators need to monitor and react to changes fast.
Not sure which use case is most pertinent? The best place to start is by learning more about how Materialize works, or trying our guided tutorial yourself.
Built to deliver trust, scale, and ease
Materialize’s unique architecture helps you operate with data now by delivering data you can trust, at a scale that supports your business, without the heavy lifting of custom made solutions.
Trust
To trust your data for operational work, you need it to be responsive, fresh, and consistent. Materialize combines the best of streaming systems and data warehousing to deliver instantly updated results the moment your input data changes.
Scale
Your operational data warehouse should match your business in lockstep. Materialize can scale up through multiple cores and computers. It scales out to as many use cases as you’d like through storage and compute isolation. It even scales down to a single core if that’s all you need.
Ease
Materialize helps you take the heavy lifting out of near real-time data. You can interact with data using standard SQL. Connect to common datasources like Kafka and Postgres in minutes. Pay only for the compute and storage that you actually use.
By moving SQL models for fraud detection from an analytics warehouse to Materialize, Ramp cut lag from an hours to seconds, stopped 60% more fraud and reduced the infra costs by 10x.
Ryan Delgado Staff Software Engineer, Data Platform - Ramp
Try Materialize Free
Powered by a revolutionary engine.
Materialize runs a compute engine built on stream processing frameworks Timely Dataflow and Differential Dataflow, giving it the ability to incrementally maintain results with sub-second latency.
Act on Data in Production, without Disruption.
Materialize integrates seamlessly with your existing data stack, workflows, and skillsets.
Model SQL in dbt
Manage the entire operational lifecycle via familiar dbt workflows.
Query like it's PostgreSQL
Query Materialize from any driver or tool that connects to PostgreSQL
Manage in Terraform
Provision and manage connections, sources, and other database objects with Terraform.
Deliver real time with Kafka
Build your use case on top of data from Kafka, or sink out to Kafka