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The live data layer for apps and AI agents
Create up-to-the-second views into your business, just using SQL
Trusted by engineering and data teams
Why is it so hard to keep up with demands for fresh data?
OLTP Databases
Siloed and can't handle data-intensive queries.
Data Lakehouse
Lacks the freshness and cost-efficiency required for online services.
Do-it-yourself
Complex to operate, and often require specialized talent.
Introducing Materialize
Operate confidently in dynamic environments
Backed by the best to bring a breakthrough in incremental computation to the enterprise.
Integrate data from any source
Continually ingests data from your databases, ERPs, CRMs, and other systems and unifies it. Materialize grows more powerful as you connect more sources. Use secure and scalable cloud storage or keep everything air gapped on prem.
Use SQL to create live data products
Transform raw updates into live, canonical business objects that can be queried directly or correctly composed into higher-level entities. Build a trustworthy, up-to-the-second digital twin of your business that instantly reflects changes in the real world. Materialize's groundbreaking incremental computation engine performs the minimal work to keep things up to date as updates happen, keeping infrastructure costs remarkably low. Any engineer who knows SQL can now launch a new data product or contextual building block for AI in minutes.
Rapidly deploy new use cases with fresh data
Quickly build data-intensive UIs, power event-driven architectures, and provide context for AI agents by performing last-mile, SQL-defined transformations and joins on live data products in milliseconds.
Trusted by engineering and data teams
Support your most demanding data initiatives with your existing team
Streamline vector embedding pipelines or use MCP to give agents live, contextual building blocks so they can discover and react to the data they need at scale. Agent capabilities grow exponentially as new data products are added.
Materialize seamlessly turns raw updates into semantically meaningful events. Use them to streamline microservice coordination, update downstream systems, or enable rule-based alerts.
Power demanding web and mobile experiences that correctly reflect user actions with sub-second latency.
Integrate Materialize into your existing stack
Lambda Architecture
Get a quick win by adding Materialize as a speed layer alongside your batch-based systems. This avoids the costly transformations required to keep up with live data and lets you see the impact of actions that would otherwise be too complex to calculate reactively.
Kappa Architecture
Over time, use Materialize to create the authoritative representation of your business in the moment. Query Materialize directly while sending events downstream to power core processes or enable historical analysis.
"Agents and LLMs are making queries directly and accessing data with complex transformations at incredible scale. We needed something that's actually doing the work upfront."
Read Customer Stories
Sam SpeisbergCo-founder, CTO, Delphi
"Our fraud losses have substantially decreased, and the infrastructure spend for this system has gone down by about 80 percent."
Read Customer Stories
Brandon RochonHead of Data, Neo Financial
"Loan eligibility rule calculation time decreased by 98.15%, dropping from 27 seconds to half a second."
Read Customer Stories
Wolf RendallDirector of Data Products, Vontive
