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Materialize @MaterializeInc

The live data layer for apps and agents materialize.com New York, NY Joined April 2019
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Materialize retweeted
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OpenSearchProj @OpenSearchProj

a day ago

🗣 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

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Materialize @MaterializeInc

a week ago

Live today at 2 PM ET: [Webinar] Transform SQL Views into Real-Time AI Agent Tools See how Materialize turns SQL views into callable APIs with strong consistency + sub-second freshness. Register here: hubs.la/Q03FRByS0

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Materialize @MaterializeInc

3 weeks ago

What happens when Materialize R&D gets a day and a half to build whatever they want? 🔹WASM UDFs 🔹 S3-backed upsert 🔹 Formal verification 🔹 EXPLAIN ANALYZE (now live!) All from our hackathon 🔗 bit.ly/4oGdXTu  #streamingSQL #databases #rustlang

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Materialize @MaterializeInc

3 weeks ago

Real-time or historical? Our new guide breaks down how Materialize and ClickHouse solve different data problems — and why you might need both. Read the full comparison → bit.ly/3Hxt6Wf #DataEngineering #ClickHouse #Materialize #StreamingSQL #AIInfra

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Materialize @MaterializeInc

4 weeks ago

Waiting for CI hurts. In July, we cut our runtime by up to 86%. From 23+ min builds to under 2 min, and full runs in as little as 7 min. Caching, parallelization, smarter builds, and a bit of [libeatmydata] magic. How we did it🔗 bit.ly/4me14OP

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Materialize @MaterializeInc

a month ago

AI agents fail without live context. A digital twin gives them a real-time, queryable model of your business — built with Materialize & SQL. Here’s how to make your AI context-aware 🔗 bit.ly/4opA4xm #AI #realtimedata #digitaltwin

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Materialize @MaterializeInc

a month ago

Materialize skips irrelevant data before reading it.  It’s called filter pushdown, and it cuts object store traffic by 50%+ using stats + static analysis.  Faster queries, lower cost. 🔗 bit.ly/4miILr4

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Materialize @MaterializeInc

2 months ago

Tap into Bluesky’s public firehose, land it in @MaterializeInc, and ask SQL questions on live social data—all in a few lines of code. Walkthrough by @frankmcsherry → bit.ly/3IwGWIJ  #StreamingSQL #Bluesky

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Materialize @MaterializeInc

2 months ago

SELECT without limits: Materialize now streams big results out-of-band, freeing the control plane and slashing memory pressure—delivering faster dashboards. Details → bit.ly/4ePXzLp

Materialize retweeted
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Nate Stewart @Nate_Stewart

2 months ago

How to create a live data layer for agents without blowing up your production databases.

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Materialize @MaterializeInc

2 months ago

Evaluating Flink vs. Materialize? This guide breaks down key differences in architecture, cost, developer experience, and consistency. A must-read for enterprise teams working with real-time data. 🔗 bit.ly/44cNiFB

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Materialize @MaterializeInc

2 months ago

AI agents don’t just ask to chat—they act. And when your data isn’t fresh and trustworthy, their decisions can cascade into chaos. To stay grounded in reality, agents need digital twins: governed, semantic views of business state that update in real-time.…

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Materialize @MaterializeInc

2 months ago

🚀 Materialize 25.2 is here! New features include live freshness reports for all your views, 2.5x faster data product deployment times, and native SQL Server support. See how these updates can help streamline your operations: bit.ly/44i2hg2

Nate_Stewart Profile Picture

Nate Stewart @Nate_Stewart

2 months ago

🚀 Materialize 25.2 is here! New features include live freshness reports for all your views, 2.5x faster data product deployment times, and native SQL Server support. See how these updates can help streamline your operations: bit.ly/44i2hg2

Materialize retweeted
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Delphi @withdelphi

2 months ago

Delphi has raised a $16M Series A, led by @sequoia with participation from @MenloVentures's Anthology Fund, @crossbeamvc, and many more 👇

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Dara @daraladje

2 months ago

Delphi has raised a $16M Series A, led by @sequoia with participation from @MenloVentures's Anthology Fund, @crossbeamvc, and many more 👇 https://t.co/7NmVbmZzVq

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Materialize @MaterializeInc

2 months ago

Delphi is turning expert knowledge into real-time, conversational systems. They needed fast, flexible, always-fresh data infrastructure. Materialize is proud to power part of the stack. $16M Series A led by Sequoia ➡️👇

withdelphi Profile Picture

Delphi @withdelphi

2 months ago

Delphi is turning expert knowledge into real-time, conversational systems. They needed fast, flexible, always-fresh data infrastructure. Materialize is proud to power part of the stack. $16M Series A led by Sequoia ➡️👇

MaterializeInc Profile Picture

Materialize @MaterializeInc

3 months ago

📢 Materialize now supports native SQL Server. ✅ No Kafka ✅ No Debezium ✅ No polling ✅ Just always-fresh, always-correct views. Define your logic once. We keep it live. This is what operational data products are made of. 🔗 bit.ly/4kL3jb9

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