The live data layer for agents and apps
New York, NY
Joined April 2019
- Tweets606
- Following44
- Followers3K
- Likes339
Materialize retweeted
@MaterializeInc offers a simpler solution. Instead of reactively scanning millions of rows when updates happen, Materialize proactively and correctly maintains live representations of your core business entities as views, shifting computation from query time to write time with ~10ms access to fresh derived data. Push changes as they occur to your vector store.
Materialize retweeted
Welcome Frank McSherry @frankmcsherry to Sync Conf 2025. Pioneer of sync technology, inventor of Differential Dataflow, and founder of @MaterializeInc, Frank will trace the evolution of sync and stream processing.
Materialize retweeted
🗣 Shoutout to our #OpenSearchCon silver sponsor @materializeinc. Join us September 8-10 in San Jose, CA to connect with #OpenSearch users, admin, & developers exploring the future of search. Register: hubs.la/Q03Gx8VY0 Schedule: hubs.la/Q03Gx8d00
Materialize retweeted
How to create a live data layer for agents without blowing up your production databases.
Materialize retweeted
Delphi has raised a $16M Series A, led by @sequoia with participation from @MenloVentures's Anthology Fund, @crossbeamvc, and many more 👇
All the minds in the world. Now one question away.
We’ve raised $16M from @sequoia to build @withdelphi - create your digital mind & turn your expertise into living, interactive conversations that scale globally.
See how our customers use it below 👇🏼
Materialize retweeted
Enterprise data infra is breaking under the weight of AI agents.
MCP gives agents access to services—including databases—but most systems can’t handle the load. Materialize’s MCP server turns live data products into tools agents can use—without crushing your systems or overwhelming your team.
materialize.com/blog/materia…
Materialize retweeted
How do you evolve your application architecture from human-scale to agent-scale? Here's how @withdelphi uses @MaterializeInc to do it.
Materialize retweeted
The future of cloud infrastructure billing is usage-based.
Companies like @supabase , @pinecone , and @MaterializeInc have already made the shift — scaling revenue in lockstep with product usage.
withorb.com/blog/usage-based…
Materialize retweeted
How do you scale to handle thousands of real-time AI convos?
In 5 mins, we break down how Delphi + @MaterializeInc tackled the infra challenge of querying agent-generated data: fast, reliably, and at scale.
Watch 👀👇
Materialize retweeted
Transform your fast-changing data effortlessly with @MaterializeInc! Use SQL for real-time data integration and act on insights instantly. 🚀 Check it out here: github.com/MaterializeInc/ma… #OpenSource #DataIntegration #RustLang #RealTimeData #SQL
Materialize retweeted
Databases & datalakes SME @BrennaBuuck's tutorial helps you get started with #AIStor and @MaterializeInc locally. blog.min.io/building-a-high-…
Materialize retweeted
Differential Dataflow, when combined with SQL via @MaterializeInc, gives engineering and data teams the best of both worlds: extremely performant incremental view maintenance with an accessible interface.
Ok, y'all. This took me several weeks and a ton of help from @frankmcsherry and @_lalithsuresh. I dug into timely dataflow, differential dataflow, and DBSP to get you up to speed on IVM engines and materialized views. Enjoy!
materializedview.io/p/everyt…
Materialize retweeted
Agents generate more data and place more demand on systems than ever before—and standards like MCP will only accelerate this trend. Learn how @withdelphi is rethinking how they build data-intensive applications—from the db to the UI: bit.ly/42BZdf9
Materialize retweeted
Databases & datalakes SME @BrennaBuuck's tutorial helps you get started with #AIStor and @MaterializeInc locally. blog.min.io/building-a-high-…
Materialize retweeted
at the rustnyc meetup and the vibe is electric! thanks to @materializeinc for hosting. (they just released their self-managed version today!) #rust #rustlang
Materialize retweeted
Wether to keep up with the demands of AI projects or provide more dynamic customer experiences, your teams need to transform, deliver, and act on fast changing data no matter where it resides. Today, we’re making that possible by moving Self-Managed @MaterializeInc out of beta and introducing Materialize Community Edition (CE)!
Materialize retweeted
BYOC: simple in theory, difficult in practice.
In his own words, @nikhilbenesch , Co-Founder and CTO of @MaterializeInc , unpacks the operational “re-training” it takes for teams to successfully roll out BYOC. Spoiler: Unlearn what you know from self-hosted deployments.
Materialize retweeted
Should you have a BYOC offering?
@MaterializeInc’s Co-Founder and CTO @nikhilbenesch goes through the alphabet soup of database deployment models and argues that if the incumbents in your space don't offer BYOC, maybe you should.
Materialize retweeted
.@MaterializeInc is now available to run fully managed, or self-managed in public or private clouds. Check out our early access program and some of the technical decisions behind our approach! bit.ly/3VVa2W1
Materialize retweeted
BYOC (Bring Your Own Cloud) – everyone is talking about it, and nobody is quite sure if they should support it. So I got 3 leaders in databases together – @EdoLiberty (@pinecone), Spencer Kimball (@CockroachDB), and @nikhilbenesch (@MaterializeInc) – to break down what’s going on: