Stream your data. Perform real-time joins. Build live applications.
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No more compromising between flexibility and speed. Materialize delivers SQL exploration for streaming events and real-time data.
No "inspired by SQL" capabilities or half-broken query languages. Materialize is wire compatible with PostgreSQL.
No more ‘eventual consistency’. Materialize emphasizes the correct answer in real-time - without interference from late-arriving data.
Materialize lets you ask questions about your data, and then get low-latency, correct answers, even as the underlying data changes.
Why not just use your database’s built-in functionality to perform these same computations? Because your database often acts as if it’s never been asked that question before, which means it can take a long time to come up with an answer, each time you pose the query.
Materialize instead keeps the results of the queries and incrementally updates them as new data comes in. So, rather than recalculating the answer each time it’s asked, Materialize continually updates the answer and gives you the answer’s current state from memory – even in the presence of complex joins and arbitrary inserts, updates, or deletes in the input streams.
View our Documentation
We’d love to learn more about how developers and data engineers can use Materialize. If you’d like to learn more about testing Materialize – or if you’d like to be included in our early access program for our cloud product – please complete the form below, and someone from our engineering team will be in touch promptly.
Materialize provides a single element in the most common programming language. Lower the burden on your data platform team and reuse skills from traditional SQL queries and applications.
We support the TPC-H benchmark – a standard built for industry-wide relevance, large data volumes, and high query complexity – with incremental updates.
Many streaming solutions require the denormalization of data in order to maintain low latency – thereby prohibiting any kind of data enrichment like joins.
By contrast, Materialize offers joins in a SQL interface – including complicated multiple-way (e.g. 6-way, 12-way) joins across disparate data sources.
Process and incrementally update big data sets
Extremely low latency - even on complex queries
Timely Dataflow used in global deployments for more than 5 years
Materialize is built to handle massive scale and high throughput. The underlying engines of Materialize have been used in global deployments by Fortune 100 companies since 2012.
Learn more about MaterializeMaterialize is a source-available product and can be installed with a single command line. Rather than spend weeks building microservices, teams can build applications with Materialize in a matter of hours.
Unlike similar solutions that require pre-processing of data, Materialize connects to data as it exists today – including streaming sources like Kafka, to databases as a read-replica, or from files.
Install Materialize for free
Query streaming data sources in ANSI-standard SQL and establish real-time visualizations. Connect to Materialize through an off-the-shelf business intelligence tool or create your own in-application dashboards.
Develop services downstream based on streaming event-based decisions – including alerts, real-time risk modeling for financial services, instantaneous fraud detection, and live revenue projection and billing.
Move away microservice development – and replace thousands of lines of Java with a few lines of SQL. Create dynamic audience segmentation tools for better, more personalized customer experiences.
Build automated services downstream for immediate event-based actions. Establish and refine predictive models, machine learning programs, and automated processes.
Build streaming applications without additional engineering resources. All you need is SQL.
Replace complex microservices with SQL queries and reduce the cost of maintenance.
Materialize uses ANSI standard SQL for rapid application development.
Manage complex, multiple-way joins across disparate streaming and batch data sources.
Answers are correct – not eventually consistent – without interference from late-arriving data.
Blazing fast, millisecond-latency incremental updates on materialized views.
Building applications for streaming data can be as simple as writing a few lines of SQL. Our Quick Start guide can take you through the process of installing Materialize, exploring our API, creating a stream, and get you up and building quickly.
QuickstartWant to see Materialize in action? This in-browser interactive demo will let you ‘install’ Materialize, explore our API, and create a real-time stream within minutes.
In this demo, we’ll take the role of a business that has a transactional workload running against our servers. To support the business’ goals, we’ll stand up a BI tool to perform analytic-style queries over that transactional data.
Materialize offers the chance to extract and query data from your logs. In this demo, we’ll look at parsing server logs for a mock e-commerce site, and extract some business insights from them.
Microservices, at their best, are services that represent some conceptually small unit of work in a pipeline—maybe provisioning some new resources, or performing a transformation. In this demo, we’ll take the role of a VM provider, and build a microservice to produce our customers’ billing data.
Materialize connects directly to your streaming infrastructure, ingesting streams of data from event stream processors like Kafka. Or connect us directly to your database as a read replica.
Simplify your streaming data architecture. With Materialize, there is no pre-processing of data required to make the system work.
View Materialize Architecture
Want to run queries against both real-time and historical data? Simply connect Materialize to a storage system like Amazon S3 and union both sources together for a full picture of your data.
The potential for these kinds of enriched streams is massive, and we’re excited to see what our customers can do.
Install Materialize
Materialize is wire compatible with PostgreSQL, presenting to downstream tools like any Postgres database, simplifying the development of custom applications and streamlining the process of connecting existing data analysis tools.
Even non-technical users can unlock the most complex real-time queries just using standard BI tooling.
Learn more about connecting to Materialize
Materialize offers all of the benefits of Timely Dataflow and Differential Dataflow as a managed cloud service. Both systems have been in open-source development for over 4 years and run in production deployments at global scale.
Timely Dataflow is a low-latency cyclical dataflow computational model that excels at delivering high performance, expressive computation, and consistent results.
Learn more about the Materialize team
