The Live Data Layer for Apps and AI Agents | Materialize

The live data layer for agents and apps

Transform siloed data into up-to-the-second context, just using SQL

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Real-world context engineering

Why is it so hard to keep up with demands for fresh context?

  • OLTP Databases

    OLTP Databases

    Siloed and can't handle data-intensive queries.

  • Data Lakehouse

    Data Lakehouse

    Lacks the freshness and cost-efficiency required for online services.

  • Do-it-yourself

    Do-it-yourself

    Complex to operate, often requiring specialized talent.

The missing element in your AI architecture

Introducing Materialize

Operate confidently with live context.

Backed by the best to bring a breakthrough in incremental computation to the enterprise.

Kleiner PerkinsLightspeedRedpoint

Integrate data from any source

Continually and incrementally ingest data from your databases, ERPs, CRMs, and other systems, unify it, and clean it for downstream consumption. Materialize grows more powerful as you connect more sources. Use our secure and scalable SaaS or keep everything air gapped on prem. Materialize separates storage from compute, scaling beyond local memory giving you economical processing for your most demanding operational workloads.

Use SQL to create real-time data products

Transform raw updates into live, canonical business objects that can be queried directly or pushed to downstream systems in real-time. Use Materialize to build a trustworthy, up-to-the-second digital twin of your business that streamlines agent and microservice development. Our groundbreaking incremental computation engine performs the minimal work to keep things up to date as updates happen, without destabilizing your operational databases. 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 agentic search pipelines, power event-driven architectures, and provide low-latency MCP endpoints and APIs. Simply perform last-mile, SQL-defined transformations on incrementally computed data products in milliseconds.

Support your most demanding data initiatives with your existing team

Give agents real-time, contextual building blocks so they can discover and react to the data they need at scale. Link context with knowledge graphs so they know where to go next. Agent capabilities grow exponentially as new data products are added. Serve directly from Materialize or keep embeddings and search attributes up to date at a fraction of the cost.

Simplify vector search pipelines
Evolving your architecture

Integrate Materialize into your existing stack

Lambda Architecture

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

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.