Overview
Materialize delivers sub-second results on the same complex SQL queries that would take down your production DB or run overnight in your warehouse by turning the traditional database inside-out: Instead of re-computing results on every read, Materialize asks for your queries up-front (as Materialized views) and keeps results up-to-date as input changes using an efficient incremental computation engine.
KEY FEATURES:
- Kafka (MSK) and Postgres (RDS/Aurora) Connections - Stream real-time data into Materialize from Kafka and PostgreSQL.
- Full SQL Capabilities: Bring us your twelve-way joins, multiple layers of aggregation, CTE's, we'll keep the results up-to-date.
- Postgres Wire-Compatible: Any tool or driver that connects to Postgres connects to Materialize.
- Consistent and Correct: Unlike other tools that deliver speed by sacrificing consistency, Materialize provides the same serializiability guarantees as any traditional database.
- dbt Integration: First-class support for managing SQL in code with dbt.
- AWS PrivateLink Compatible - Secure connection between AWS MSK clusters and Materialize via PrivateLink
USE CASES:
Materialize helps small teams build with real-time data. No costly rewrites, no new language to learn, no stream processing maintenance burden. It's a modern cloud platform with separation of storage and compute, enabling multiple use-cases or teams to build on the same real-time data without disruption. Think Snowflake, but stream-first instead of batch-first.
Data teams use Materialize to reduce end-to-end analytics pipeline latency from hours to seconds - all without changing their SQL and dbt workflows. Software teams use it as a smart database-level cache, replacing complex microservices with SQL queries and making bug-prone database caching and denormalization obsolete.
Examples of how customers use Materialize:
- Real-Time Analytics - Use the same ANSI SQL from data warehouses to build real-time views that serve internal and customer-facing dashboards, APIs and apps.
- Automation and Alerting - Build user-facing notifications, fraud and risk models, and automated services using event-driven SQL primitives in a streaming database.
- Segmentation and Personalization - Build engaging experiences with customer data aggregations that are always up-to-date: personalization, recommendations, dynamic pricing and more.
- Machine Learning in Production - Power online feature stores with continually updated data, monitor and react to changes in ML effectiveness - all in standard SQL.
BACKGROUND:
Materialize was cofounded by Arjun Narayan, coming from deep technical experience in databases at CockroachDB, and Frank McSherry, who developed the streaming frameworks that power Materialize: Differential Dataflow and Timely Dataflow, over the last ten years at Microsoft Research and now Materialize.
For custom pricing, EULA, or a private contract, please contact marketplace@materialize.com , for a private offer.
Highlights
- Incrementally Maintained Materialized Views - Materialize uses a revolutionary stream-processing framework to efficiently maintain SQL materialized views as input data changes.
- Stream Data in from Kafka (MSK) and PostgreSQL (RDS/Aurora) - Materialize has first-class support for streaming data inputs via Kafka and PostgreSQL (by acting as a replica and connecting to the replication feed of your primary database.)
- PostgreSQL wire-compatible - Materialize uses the Postgres network protocol, any tool that connects to a PostgreSQL database can integrate with Materialize.
Details
Features and programs
Financing for AWS Marketplace purchases
Pricing
Dimension | Description | Cost/12 months |
---|---|---|
Materialize | Base platform access fee | $200,000.00 |
The following dimensions are not included in the contract terms, which will be charged based on your usage.
Dimension | Cost/unit |
---|---|
Materialize Usage (each unit is 1 cent of usage) | $0.01 |
Vendor refund policy
Please see seller website for details.
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Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
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Materialize offers support through it's help center and community slack.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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Customer reviews
Building Applications with pre-builted components!
Materialize is the way to go for mobile web applications
Very easy to implement and use
Modern minimalist themes
The documentation just excellent! I really love it because you can just type what you want on their website and you will have a dedicated page on how to implement that class or component.
Modern. Efficient. Powerful
The documentation for materialize is just incredibly good! It is one of the best documentations I've ever read. Everything you need to know about this framework is there, and the search feature on the documentation is awesome. Not to mention that there is a community that uses this framework as well!