Incremental approach,
transformative results.
You shouldn't have to throw away the database to build with fast-changing data. Keep the familiar SQL, keep the proven architecture of cloud warehouses, but swap the decades-old batch computation model for an efficient incremental engine to get complex queries that are always up-to-date.
That is Materialize, the operational data warehouse built from the ground up to meet the needs of modern data products: Fresh, Correct, Scalable — all in a familiar SQL UI.
Built on Mature Technology
Built on Timely Dataflow and Differential Dataflow, open source frameworks created by cofounder Frank McSherry at Microsoft Research.
$100 Million Raised
Funded by firms with a track record of success in databases.
Trusted in Production
Data and Engineering Teams at industry-leading companies run production workloads at scale in Materialize.
Try Materialize for Free
Get hands-on with Materialize in a 14-day free trial.
Founded from Deep Technical Experience
Cofounders
Arjun Narayan
CEO
Arjun cofounded Materialize, coming from database-building experience as an early engineer at Cockroach Labs and through his Ph.D in distributed systems, security, privacy and scalability from the University of Pennsylvania.
Frank McSherry
CHIEF SCIENTIST
Frank was previously at Microsoft Research Silicon Valley where he co-invented Differential Privacy, and subsequently led the Naiad project. Frank holds a Ph.D in Computer Science from the University of Washington.
Leadership Team
Anthony Fears
VP, PEOPLE
Anthony began his HR/People career in global retail and hospitality with brands like Nordstrom and Starbucks. He then turned to leading the People function at high growth startups including Managed by Q (acquired by WeWork) and, most recently, Industrious – the largest premium workplace-as-a-service provider.
Jessica Laughlin
Head of Product
Jessica joined Materialize as the fifth engineer, coming from Goldman Sachs and Bluecore. She leads the product organization, focused on shipping features that make Materialize users successful in production.
Nikhil Benesch
CHIEF TECHNOLOGY OFFICER
Nikhil is the Chief Technology Officer at Materialize. He previously worked on the replication engine for CockroachDB. He has an A.B. in Computer Science from Harvard, where he did research on streaming dataflow systems.
Tim Satterwhite
CHIEF REVENUE OFFICER
Tim was previously the Chief Growth Officer at Terminus where he led the Sales, Marketing and Customers Success functions globally. Prior to that he was SVP of Revenue at Braze helping to scale the company across all segments of business.
Backed By The Best
Mature Technology, Long-Term Vision
Materialize builds on frameworks originally developed at Microsoft Research.
Naiad: A Timely Dataflow System Paper published
Materialize cofounder Frank McSherry and his collaborators first share their work on Timely Dataflow, in a paper while working at Microsoft Research.
Timely Dataflow in Rust
Frank begins an open source project on timely dataflow written in Rust, the foundational building block on which Materialize is built.
Company Founded
Materialize founded by Arjun Narayan and Frank McSherry.
Series A
$8.5m Series A from Lightspeed, still in stealth
First Public Release
First public release of Materialize as a source-available single binary, built in Rust.
Series B
Materialize raises $32M Series B from Kleiner Perkins
Series C
Materialize Raises $60M Series C from Redpoint
Cloud Platform
Materialize unbundles the single binary into a cloud-native distributed system to unlock the next phase of scale.
What's Next?
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Built on Strong Principles
Build to last
We build based on a well-researched, long-term vision, and we take the time to build it well.
Be frank
Transparency is central to our culture. We extend transparency to our customers: we show them our code, and give them realistic expectations about what is possible.
Take ownership
We actively own the success of the projects we’re working on and the teams we’re working with.
Default to trust
We put ego aside and give teammates and customers a level of trust that empowers them to take action.
Write things down
We take the time to write things down so that others can understand what we've done and how.
Join Our Team
Help us build the next generation of streaming data tools.