Trusted by teams to deliver fresh, correct results.
![Centerfield](https://res.cloudinary.com/mzimgcdn/image/upload/v1684771133/logos/centerfield.png)
A new way to deliver fresh data,
easily and cost effectively
Get current and accurate views, join fast-changing data, without the hassle and the costs
Stop straining your OLTP system
Reduce demanding query-intensive workloads on your mission-critical systems of record.
Reduce your data warehouse costs
Eliminate hot loops on a slow batch architecture that increases your cloud costs with every data refresh.
Join your data in real-time
with SQL
Break down your data silos with an operational data mesh and create fresh views on data across domains.
Make streaming accessible
with the team you already have
Serve fresh data using SQL instead of building with stream processors. No special engineering talent required!
Run your business with data that’s
most valuable in the moment
Materialize combines the ease of use of your data warehouse with the speed of streaming to enable you to operate with the freshest data available
Serve any use case that needs fresh and consistent data
Move beyond analytics. Operationalize data to power your business.
Automation and Alerting
Eliminate manual work, remove delays, move faster with real-time alerts and automated actions on fresh data.
Anomaly Detection
Identify data points or events in real-time that deviate from normal behavior.
Real-time Behavior Scoring
Use real-time customer signals to create personalized experiences, tailor recommendations, and power dynamic pricing.
Real-time Operational Decisions
Get fresh views of your business across data stores to react to up-to-the-minute changes in your business.
Fraud Detection
Flag malicious activity as they occur and stop fraud in seconds.
Contextually Accurate GenAI
Deliver current and accurate context for retrieval augmented generation (RAG) models and AI agents.
By moving SQL models for fraud detection from an analytics warehouse to Materialize, Ramp cut lag from hours to seconds, stopped 60% more fraud and reduced the infra costs by 10x.
Ryan Delgado Staff Software Engineer, Data Platform - Ramp
![](https://res.cloudinary.com/mzimgcdn/image/upload/v1697227815/ramp-customer-story-square.webp)
Powered by a revolutionary engine
Built on Differential Dataflow, incrementally maintaining results with sub-second latency
Work done efficiently on writes, reads are fast and computationally free
Join fast-changing data and maintain consistent, accurate results across sources
Accessible via a familiar, declarative SQL interface
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 data sources like Kafka and Postgres in minutes.
Seamlessly integrate with your existing data stack
Power business processes with fresh data while keeping your data architecture intact
![](https://res.cloudinary.com/mzimgcdn/image/upload/v1720720959/home/materialize-fit-in-data-architecture.webp)
Works with your existing team and workflows
Leverage best practices in data development
Reuse your existing models and SQL queries
![Isolate workloads with dedicated resources](https://res.cloudinary.com/mzimgcdn/image/upload/v1720728499/home/isolate-workloads.png)