100%
SQL replacing Spark/Flink
Build and share live data products
Move beyond team silos and duplicated logic. Build a live data mesh where teams can share and reuse data products across your organization.
Fast, independent development
100%
SQL replacing Spark/Flink
100%
SQL replacing Spark/Flink
100%
SQL replacing Spark/Flink
The Challenge
Slow development and high costs
Your teams need to process and share live business data, but data pipelines are complex to build and expensive to run.
Slow Development
Data pipelines take weeks of custom code to build or change.
Rising Costs
Streaming expertise is scarce and infrastructure costs are high.
Duplicative Work
Teams reimplement existing logic to work around bottlenecks.
The Pattern
Operational Data Mesh
The Operational Data Mesh pattern enables individual teams to build and share data products, accelerating development and increasing reuse.
Integrate operational data
Stream data from databases, message brokers, and webhooks into a unified layer.
Define data products
Teams publish live data transformations and business entities as well-defined data products.
Reuse across teams
Any team can discover, reuse, and build upon data products.
The Solution
Give teams control with SQL
Build an Operational Data Mesh with Materialize, using SQL. No custom pipelines, no streaming code — just live data products that teams can independently create, discover, and build upon.
"Materialize really simplified our data architecture. Now our teams could just use SQL, instead of implementing complicated logic."
Eddie Mishelevich
Senior Backend Developer, Nanit
Minutes to Build, Seconds to Deploy
Build live data products in minutes with SQL. Unlike streaming frameworks and data pipelines, Materialize can deploy changes without downtime — so teams can build and ship faster.
"We have been able to move some of our Spark and Flink jobs over into Materialize and have found them easier to manage...as well as quicker to build."
Zander Nickle
Senior Director of Data Services, Pluralsight
Key Capabilities
Built for autonomy and scale
High-performance teams, high-performance data products.
Stream data in from databases, Kafka, webhooks, and more — and publish results to downstream systems in real-time.
Build rich data objects and transformations using joins, aggregations, window functions, recursive queries, and more.
Create, version, and publish data products, secured with role-based access controls.
Safely build new data products from existing ones, with strong consistency guarantees.
Keep data products live, fresh, and fast at scale - even up to millions of events per second.
Deploy replicas across zones for fault tolerance and resource isolation.
Learn More
Explore Materialize
Learn more about Materialize, architectural patterns, and use cases.