Sold by: MaterializeÂ
Deployed on AWS
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.
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
Unlock automation with AI agent solutions
Fast-track AI initiatives with agents, tools, and solutions from AWS Partners.
Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
Materialize | Base platform access fee | $200,000.00 |
Dimension | Cost/unit |
|---|---|
Materialize Usage (each unit is 1 cent of usage) | $0.01 |
Vendor refund policy
Please see seller website for details.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA)Â .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
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.
Resources
Vendor resources
Support
Vendor support
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.
Updated weekly
Top
10
In Streaming solutions
Top
25
In Databases & Analytics Platforms, Databases, Data Analytics
Top
25
In ELT/ETL, Streaming solutions
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
Ease of use
Customer service
Cost effectiveness
Positive reviews
Mixed reviews
Negative reviews
AI generated from product descriptions
Incremental Computation
Uses an efficient incremental computation engine to maintain materialized views as input data changes
Stream Data Integration
Supports real-time data streaming from Kafka and PostgreSQL sources with native connection capabilities
SQL Processing
Provides full SQL capabilities including complex joins, multiple aggregation layers, and Common Table Expressions (CTEs)
Database Compatibility
Implements PostgreSQL wire protocol, enabling compatibility with existing Postgres tools and drivers
Consistency Mechanism
Maintains serializability guarantees equivalent to traditional database systems during data processing
Data Processing Architecture
Native support for processing streaming and batch data with low-latency integrations for Kafka and AWS Kinesis
Query Performance
Sub-second query response times with high concurrency capability supporting 100s to 100K+ queries per second
Database Technology
Apache Druid-based distributed database with committer-driven expertise and scalable architecture
Operational Management
Automated cluster management including rolling updates, backup, disaster recovery, and customizable alerts
Visualization Capabilities
Built-in powerful UI and visualization engine for developing modern interactive analytics applications
Data Capture Mechanism
Supports scalable real-time data capture from multiple sources including Kinesis, databases, and SaaS applications using Change Data Capture (CDC)
Streaming Transformation
Enables data transformation using streaming SQL with scalable processing capabilities
Multi-Destination Materialization
Supports data materialization to diverse destinations including data warehouses, vector databases, search systems, and NoSQL stores
Real-Time Processing
Provides continuous, low-latency data pipeline processing with streaming architecture
Source Connectivity
Offers comprehensive integration capabilities across different data sources and systems using native connectors
Standard contract
No
No
Customer reviews
0 ratings
0 AWS reviews
|
4 external reviews
Star ratings include only reviews from verified AWS customers. External reviews can also include a star rating, but star ratings from external reviews are not averaged in with the AWS customer star ratings.
Verified User in Graphic Design
Lightweight and elegant framework for HTML and CSS
Reviewed on Apr 23, 2019
Review provided by G2
What do you like best about the product?
It includes a multitude of features that make it fluid and robust. It is an excellent element for working with mobile first, incorporating different buttons with effects and menus, icons, etc. It gathers some JavaScript elements to complement its functionalities. It is very fluid and elegant, based on Google's style guide.
What do you dislike about the product?
They should expand some style functionalities, because the frame ends up being recognized in any app that uses it, and although it is very elegant and functional, it can become repetitive.
What problems is the product solving and how is that benefiting you?
Solve all layout problems of apps, forms, landing pages, and web pages, whether they are corporate or e-commerce.
Angel M.
Excellent finishes for your web and app
Reviewed on Apr 16, 2019
Review provided by G2
What do you like best about the product?
A magnificent framework, lightweight and based on Google's material design style guide. It offers a multitude of styles and basic routines, buttons, icon galleries, a grid system for mobile first, and a powerful JavaScript gallery with the most common applications in web layout frameworks.
What do you dislike about the product?
Do not include more Java and jQuery elements. Although they have great power and elegance, it becomes repetitive to use them over and over again.
What problems is the product solving and how is that benefiting you?
Layout of Applications and Web Pages, responsive web design, breadcrumb menu, etc...
Jessica M.
Create fantastic and responsive websites
Reviewed on Jan 29, 2019
Review provided by G2
What do you like best about the product?
It is powerful and lightweight, featuring numerous styles based on material design, modern, scalable, and highly usable. It allows you to create grids based on flex and grid, which makes it very interesting for responsive design.
What do you dislike about the product?
Java libraries are so interesting that they fall short. More functionalities of this type would be appreciated.
What problems is the product solving and how is that benefiting you?
It is very useful for designing landing pages, forms, applications, etc...
Recommendations to others considering the product:
A very useful tool that should be considered as an alternative to Bootstrap since it provides excellent functions and finishes in your styles and basic routines.
Manuel G.
Friendly, elegant, and light
Reviewed on Oct 30, 2018
Review provided by G2
What do you like best about the product?
It is an incredible framework for developing web designs with great usability and cleanliness. The common buttons create a liquid effect with a beautiful finish, ideal for touch devices. The same happens with the two-position switches, with an extremely elegant sparkle effect. The finish of the date selectors is also very modern and user-friendly.
What do you dislike about the product?
We have had some conflict with the use of a jQuery library. It is so wonderful that it becomes insufficient and you need more and more resources.
What problems is the product solving and how is that benefiting you?
Mainly, we create landing pages and lead capture forms, especially with checkboxes, date selectors, inputs, buttons, etc... The result is truly spectacular.
Recommendations to others considering the product:
Absolutely recommendable, even if you use other frameworks in your websites and applications, Materialize is gradually standing out and is here to stay. You must get to know it and it is well worth it.