Operational data changes continuously.

Iceberg was designed for batch commits.
Materialize’s new Iceberg sink bridges that gap by delivering transactionally consistent operational data into Iceberg without the memory and latency costs of batching.

Under the hood: logical ntics, recovery without external state, and the open challenge of multi-table consistency.

If Kappa means compute once and serve everywhere, this is how.

Read more → bit.ly/40pNwqh

Agents don’t fail in production because models are bad.

They fail because context is stale, fragmented, or too slow.

See how @Day_ai_app built an agentic CRM, with live context powered by Materialize 🔗bit.ly/4sJLsGu

Flare's microservices architecture impacted client experience and held back product development.

With Materialize + dbt, they built a live data layer across MongoDB, Salesforce, and more—powering sub-second queries and enabling a unified case view, a reliable “My Clients” ture computation for AI matching.

Full story: bit.ly/4oaVdtE

Materialize is heading to the Gartner IT Symposium/Xpo™ next week.

Visit us at Booth #224 to learn how Materialize brings real-time data streaming and analytics to life - transforming how teams build intelligent, responsive applications.

Operational data products are reshaping how apps & AI consume data.

But should you bet on Materialize or Palantir Foundry

📄 Download the side-by-side comparison: bit.ly/4ol1CTN

We’re excited to share that Materialize is hosting the next NYC Institute for Data, Engineering, Architecture, and Standards (IDEAS) Meetup in partnership with @Snowflake.

Join us on September 25th at 5:30 PM ET

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Vector DBs are useless with stale context.
 Materialize keeps attributes fresh with incremental updates—no more costly re-computes, no fragile pipelines.

⚡️ Fresh vectors, simpler stacks. bit.ly/3IamUUJ

🚀 Big release: Materialize now uses swap to scale SQL workloads beyond RAM.

The results:
🏎️ Faster hydration
🚀 Efficient memory utilization
🗂 Larger workloads support

Read @antiguru_de's deep dive → bit.ly/4grbGro

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

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

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

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

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

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

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

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

@SponsorCX plugged @MaterializeInc into Postgres and shipped real-time dashboards in < 24 hrs. Now every new live data product is just a few lines of SQL.
Story → bit.ly/4nGWj1l
#RealTimeData #Postgres #SportsTech

@neofinancial’s new online feature store runs on @MaterializeInc:
⚡ ~1 s P99 freshness
💸 80 % lower costs
🛠️ 20x+ faster feature delivery via SQL + dbt workflow
Details: bit.ly/4knjLh7
#FeatureStore #RealTimeML #FinTech

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

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. p

📢 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

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

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: httprtnerDA #RealTimeAnalytics #Materialize

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

Temporal filters, optimized.

Replica Expiration in Materialize cuts memory use by up to 50% while keeping your time-sensitive queries fast and accurate.

Discover how we’re redefining resource efficiency for SQL-based streaming data.

📖 bit.ly/4hda8RC

#Materialize xpiration #DatabasePerformance

Self-Managed Materialize Early Access: Your data, your infrastructure, your rules. 🚀

Read more: bit.ly/4iJ3NhG

Intelligent agents are reshaping industries, but collaboration is the real challenge. 🤖

Materialize empowers agents with real-time collaboration, fresh data access, and efficient scaling—redefining the future of autonomous systems.

Read how: bit.ly/3ZTtiWh

Microservices promise scalability and flexibility, but at what cost?

Data consistency issues, hidden operational overhead, and the complexity of distributed systems often outweigh the benefits. At Materialize, we’ve seen how these challenges slow teams down—especially when cal.

Our latest blog explores why microservices aren’t always the answer and offers a fresh perspective on managing real-time data. 🔗bit.ly/4gbdwvC

What’s your take—are microservices worth it?
#Microservices #RealTimeData #Materialize

materialized views and it's the same but there's incremental updates so it's not

Stop by booth #1761 to hear how Materialize is re:Inventing the Operational Data Store.

#AWSreInvent #Materialize #RealTimeData #GenerativeAI #Brat #materializedviews #incrementalupdates

While OLTP is built for fresh results, and OLAP is designed for data intensiveness, an operational data store (ODS) does both at the same time.

ODS allows teams to perform complex queries on fresh data to power operational use cases, such as fraud detection and personalization. r of ODS, we’ve built a demo based on our work with e-commerce companies.

See how we take a complex dynamic pricing query off of Postgres, and run it in 46 ms on Materialize. Check out the full blog ->

bit.ly/4dYRTN1

🌟 Last week at the Materialize on-site, we combined innovation, collaboration, and a lot of fun to bring the company together! 🚀
From in-depth technical discussions to brainstorming creative solutions, it was inspiring to see the level of passion and expertise everyone brought sn’t all work! We bonded over activities like game night, food tours, and several rounds of laser tag. 🧑‍🍳🎲
These moments remind us of the power of teamwork, whether we’re solving complex data challenges, or just enjoying some well-deserved downtime. We're excited for what’s next as we continue to evolve, learn, and build an even stronger Materialize!
#Teamwork #Innovation #OperationalDataStore #Materialize #Onsite #TeamBonding #LifeAtMaterialize

Materialize is excited to return to @getdbt Coalesce! Come learn more about what is possible with dbt and an Operational Data Store!

👋 Stop by Booth #309 to say hello and get some amazing swag
👨‍🏫 Join our session Powering Real-time Loan Underwriting at Vontive with Materialize Join us for the Coalesce After Party at FUHU on October 8 --> bit.ly/3TDsZvl

If you have not registered yet sign up today with our special discount code for general admission: MaterializeGA20

Day one of @confluentinc #Current24 s underway and the Materialize team is having a great time!

Make sure to stop by booth #202 for:

✨ Some live magic and tricks
🧦 Our latest essential swag item and more!
💻 To see Materialize demos in action

🎉 And the fun does not end loses... we are sponsoring the After Party, tonight from 9-11:30 pm at the famous Bull & Bowl. 🎳 🐂

🚀 Real-Time Alerting with Novu and Materialize 🚀

In today’s fast-paced world, real-time alerting is essential for delivering notifications and powering workflows that fuel business operations. 🕒 ⚡

Discover how Novu and Materialize are transforming real-time alerting by iew maintenance (IVM) with Novu’s 100 messaging endpoints, including Slack and SMS.

Whether it's for monitoring, notifications, or proactive responses, our latest blog dives deep into how these two platforms make it happen.

🔍 Read more about leveraging this integration in our latest blog.
#Novu #Realtime #BusinessOperations

bit.ly/47ygOFS

Our team had an incredible time at the Snowflake Data Cloud Summit last week! We're thrilled to share that we won the award for the most engaging in-booth activation! 🏆 A huge thank you to everyone who stopped by and engaged with us. #DataCloudSummit

The Materialize team is excited to be in San Francisco for @SnowflakeDB's #DataCloudSummit! Visit us at booth #1311 to meet the team and pick up some fun swag.

Plus, join us Wednesday for the Electric Data Carnival at Temple Nightclub: shorturl.at/4gLag

We're partnering with organizations across the modern data world to bring you #ElectricDataCarnival, the Summit after-party of the year.

Join us at 9PM on June 5th at Temple Nightclub for good music, great people, and an unforgettable night.

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We are pleased to be a Silver Sponsor at the Data Engineering Summit Conference (ODSC East) in Boston today and tomorrow! Be sure to stop by our booth, grab some swag, join us for live magic shows and learn more about Materialize! #odsceast

Join Materialize tomorrow at the Postgres Conference! Our keynote session with @frankmcsherry at 10:10am covers Enabling New Operational Use Cases with PostgreSQL. Our technical session at 11:10am covers MZ vs PostgreSQL in the modern data landscape.

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Join us virtually tomorrow at 11:30am ET for the Materialize technical product overview! Dive deep into Materialize and the Operational Data Warehouse with our expert team.

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See how you can use Materialize to easily run operational workloads while taking advantage of the team and SQL models you already use today.

Learn how you can scale up and out, deliver real-time data, and flexibly adapt to new or changing workloads with Materialize.

See how Materialize can help you deliver trustworthy data through Freshness, Responsiveness, and Consistency.
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Upcoming #NYC #meetup: RSVP today to join us Feb. 7 at our @MaterializeInc office to hear from @loiselleatwork and learn about how Materialize's operational data warehouse differs from #PostgreSQL and how it fits into the modern data landscape.

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Learn how we built an in-browser SQL shell that empowers Materialize users to interact with their databases.

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Join us at the first #PostgresNYC Meetup of 2024! Register today to join us in-person at the @MaterializeInc office with @PostgreSQL and hear @loiselleatwork discuss "Better materialized views in 1 million LOC: Inside Materialize's #PostgresSQL source." hubs.la/Q02g3LX70

Swing by our booth & say hi to @narayanarjun & our executive team today!

Got 3 minutes? Watch this video on 'What is Materialize?' recorded by our Co-Founder & CEO @narayanarjun. It will provide you with a clear and easily digestible overview of Materialize and the architecture behind us.

youtu.be/ttxQBONVZN4?si…

The Materialize team is at #Current23! Swing by Booth 214 for a free coffee, swag and chat.

Join us today at 3:30 PT for a presentation by @morsapaes' on CI/CD patterns for dbt Projects. hubs.la/Q023ypxt0

Operational work includes providing interactive access to up-to-date data, automating actions on certain events, and generally reacting to things that have just happened.

For operational work, organizations can’t afford slow, stale, or incorrect data.

The same pay-per-query model that made cloud data warehouses so much cheaper than their predecessors for daily analytics is now driving up costs for new workloads. Using the right tool for the job can reduce costs!

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