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BYOC: simple in theory, difficult in practice. In his own words, Nikhil Benesch , Co-Founder and CTO of Materialize , unpacks the operational “re-training” it takes for teams to successfully roll out BYOC. Spoiler: Unlearn what you know from self-hosted deployments.

Data in constant motion? Materialize guarantees accurate, consistent results—even for continually changing, transactional sources. Learn how virtual time + incremental computation transform the way you handle data: bit.ly/40uNi0x #RealTimeData #DataConsistency

Materialize now exposes source maps—giving you a way to debug performance in real-time. ✅ Attribute memory & compute costs to query operators ✅ Debug running indexes & materialized views ✅ Optimize TopK queries with precise tuning Michael Greenberg breaks it down:

The Materialize team is heading to Gartner Data & Analytics Summit 2025 next week! Let’s talk real-time analytics without the complexity—because your data should work as fast as your business. 📍 Booth #1027 – Stop by to chat 💡 Want to meet 1:1? Request a meeting:

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 Materialize out of beta

Big news: Materialize for Everyone! 🔹 Self-Managed – Run Materialize in your own cloud. 🔹 Community Edition – Production-grade Materialize, free forever. Real-time data is now more accessible than ever. Learn more: bit.ly/43Bg8iQ

at the rustnyc meetup and the vibe is electric! thanks to Materialize for hosting. (they just released their self-managed version today!) #rust #rustlang

Databases & datalakes SME Brenna Buuck's tutorial helps you get started with #AIStor and Materialize locally. blog.min.io/building-a-hig…

Agents generate more data and place more demand on systems than ever before—and standards like MCP will only accelerate this trend. Learn how Delphi is rethinking how they build data-intensive applications—from the db to the UI: bit.ly/42BZdf9

Databases & datalakes SME Brenna Buuck's tutorial helps you get started with #AIStor and Materialize locally. blog.min.io/building-a-hig…

Differential Dataflow, when combined with SQL via Materialize, gives engineering and data teams the best of both worlds: extremely performant incremental view maintenance with an accessible interface.

📢 Don't miss tomorrow's webinar with Materialize at 11am PT featuring our co-founder @SamSpelsberg. Learn how Delphi scaled data infrastructure to handle thousands of AI-driven conversations simultaneously. Join Sam and Nate Stewart for insights on agent-scale data

How do you scale to handle thousands of real-time AI convos? In 5 mins, we break down how Delphi + Materialize tackled the infra challenge of querying agent-generated data: fast, reliably, and at scale. Watch 👀👇

How do you evolve your application architecture from human-scale to agent-scale? Here's how Delphi uses Materialize to do it.

The future of cloud infrastructure billing is usage-based. Companies like Supabase , Pinecone , and Materialize have already made the shift — scaling revenue in lockstep with product usage. withorb.com/blog/usage-bas…

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

Our engineering team at Materialize recently uncovered a rare concurrency bug 🪲in Rust’s 🦀 unbounded channels that could lead to double-free memory errors. After thorough debugging and collaboration with the Rust and crossbeam communities, the fix is now part of Rust Language

📢 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