What Materialize does

Materialize is a streaming SQL database company headquartered in New York City that provides a live data layer for applications and AI agents. Its core product enables fully incremental SQL computations over changing data with sub-second latency, built on proprietary Timely Dataflow and Differential Dataflow computational models invented by co-founder and Chief Scientist Frank McSherry, formerly of Microsoft Research Silicon Valley. The platform separates storage from compute, allowing customers to maintain always-current materialized views without batch processing or specialized streaming expertise.

The company offers three deployment options: Materialize Cloud (fully managed SaaS), Materialize Self-Managed (customer-deployed), and Materialize Local (development emulator). Revenue is generated primarily through subscription-based recurring contracts with enterprise customers, supplemented by pay-as-you-go consumption pricing for cloud deployments. The go-to-market is sales-led, targeting engineering and data teams in finance, e-commerce, AI/ML, logistics, and manufacturing — documented customers include Neo Financial, Vontive, PrizePicks, Fubo, General Mills, Ryder, SuperScript, Day AI, and Mercari.

Materialize has raised over $100 million in venture funding across three rounds (Series Seed 2019, Series B 2020, Series C 2021), with its $60 million Series C in September 2021 led by Redpoint Ventures at a $600 million post-money valuation, with participation from Kleiner Perkins and Lightspeed Venture Partners. The company has ~51–100 employees, is GDPR/CCPA/COPPA/PIPEDA compliant, and operates as a globally distributed team with a permanent NYC office. Its current strategic positioning emphasizes AI agent context engineering, digital twins, and event-driven architectures.

Name

Materialize

Legal name

Materialize, Inc.

Website

https://materialize.com

Company type

Private

Founded year

2019

Operating status

Operating

Headcount range

51–100 employees

Short description

Materialize is a streaming SQL database company that provides a live, incremental data layer for enterprise applications and AI agents, enabling always-current SQL views with sub-second latency for finance, ecommerce, logistics, and AI/ML customers.

Ownership category

akta.pro rank

Product category

Streaming SQL Database / Real-time Data Infrastructure

NAICS

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (51821), Software Publishers (5132)

SIC

Services-Computer Programming, Data Processing, Etc. (7370), Services-Prepackaged Software (7372)

akta.pro primary industry

Data Virtualization & Logical Data Warehousing (HDAEABAG)

akta.pro secondary industries

Data Platform (Unified Data & Analytics) Suites (HDAEABAD), Database/Application Data Layer Modernization (DB migration, ORM, caching) (BPAEAFAL)

Keywords

• Streaming SQL database
• Real-time data platform
• Incremental computation engine
• Live data layer
• AI agent context

Headquarters

HQ city

New York

HQ country

United States

HQ region

North America

Offices1 record

Markets served

GTM type

B2B

Offering type

Software

Cost components

Personnel, Technology or R&D, Infrastructure, Marketing or Sales, Operations

Revenue model

1. Cloud SaaS Subscription: Fully managed cloud service with subscription-based pricing. Customers can deploy via Materialize Cloud as a managed SaaS offering with compute and storage separated.
2. Self-Managed License: Self-managed deployment option allowing customers to run Materialize in their own environment (public or private cloud). Can use Community License for local development and testing.

Pricing tiers

Go-to-market motion1 record

Distribution channels3 records

Marketing channels5 records

Core offering

Materialize is a streaming SQL database platform that maintains up-to-the-second views of business data using incremental computation built on Timely Dataflow and Differential Dataflow. It provides a live data layer for AI agents, event-driven architectures, and data-intensive applications via standard SQL, available as a fully managed cloud service, a self-managed deployment, and a local development emulator. The platform serves enterprises across finance, ecommerce, logistics, and AI/ML with sub-second latency and separated storage and compute.

Product overview

Materialize is a real-time data platform built on a breakthrough in incremental computation, providing up-to-date, trustworthy views into business data using SQL. The product portfolio consists of three deployment options: Materialize Cloud (fully managed SaaS), Materialize Self-Managed (customer-deployed), and Materialize Local/Emulator (for development). The platform serves as a live data layer for AI agents and applications, enabling context engineering, event-driven architectures, and digital twin capabilities for operational workloads. Materialize is backed by Timely and Differential Dataflow technology invented by co-founder Frank McSherry.

Differentiator

Problem solved

Functional benefit

Quantifiable outcome

• 80% reduction in costs for online feature store
• +5 more outcomes

Named customers18 records

Segments5 records

Ideal customer profiles5 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

Integration10 records

AI capability7 records

Feature3 records

Partnerships

Five partnerships are on record, tiered core.

• ConfluentcoreTechnology or IntegrationConfluent provides a cloud-native, complete data streaming platform. Integration allows customers to connect and process all data in real-time with Confluent's Kafka-compatible platform.
• RedpandacoreTechnology or IntegrationRedpanda is a streaming data platform compatible with Kafka APIs while eliminating Kafka complexity. Partnership enables customers to use Redpanda as an alternative to Kafka with Materialize.
• dbtcoreTechnology or Integrationdbt (data build tool) enables reliable data models with version control, automated documentation, and integrated testing. Integration allows Materialize customers to build reliable data models using dbt.
• AWScoreTechnology or IntegrationAmazon Web Services provides comprehensive and scalable cloud computing platform. Materialize Cloud can be deployed on AWS infrastructure.
• SnowflakecoreTechnology or IntegrationSnowflake is a cloud-based data platform for storing, managing, and analyzing data. Partnership enables integration between Snowflake's data warehouse and Materialize's real-time streaming capabilities.

Scale indicators3 records

Recent moves6 records

Expansion highlights6 records

Direct peers

• Confluent: Confluent is a direct peer in streaming data, offering ksqlDB and Confluent Cloud for real-time stream processing on Kafka. Both companies target enterprises building real-time data products, and Materialize even lists Confluent as an integration partner, highlighting direct overlap in serving the same streaming-SQL workloads.
• RisingWave: RisingWave is a direct peer providing a distributed SQL database for stream processing, positioned similarly to Materialize with PostgreSQL-compatible SQL and incremental computation. Both compete for the same developer mindshare in real-time analytics on streaming data.
• ClickHouse: ClickHouse is a column-oriented OLAP database used for real-time analytics on large datasets. While optimized for analytical queries rather than incremental streaming views, ClickHouse competes for the same low-latency data layer workloads Materialize targets, especially in feature stores and operational analytics.
• StarRocks: StarRocks is a high-performance real-time analytical database supporting streaming ingestion and sub-second queries. It competes with Materialize for low-latency analytical and feature-store workloads, particularly in ecommerce and finance use cases.
• SingleStore: SingleStore (formerly MemSQL) is a real-time distributed SQL database combining transactional and analytical workloads. It competes with Materialize in real-time analytics and operational dashboards, particularly for finance and ad-tech customers.
• Apache Flink (Ververica): Ververica, the original creators of Apache Flink, offers a managed stream processing platform. Flink is the dominant open-source stream processor and competes with Materialize for real-time data pipeline and incremental-compute workloads, though Flink requires specialized developers unlike Materialize's SQL interface.

Emerging players

• Decodable: Decodable is a stream processing platform built on Apache Flink with a SQL-first developer experience. It targets similar real-time data transformation and CDC use cases as Materialize but focuses on ETL-style pipelines rather than maintaining continuously updated SQL views.
• Rockset: Rockset is a real-time analytics database built for low-latency queries on streaming data, now owned by OpenAI. It overlaps with Materialize in serving data-intensive applications and AI-powered features with always-fresh data.

Broad incumbents

• Databricks: Databricks is a broad data and AI platform whose Delta Live Tables and Structured Streaming target real-time data processing. While not a streaming-SQL specialist, Databricks competes for streaming, feature-store, and real-time analytics workloads and represents the larger platform consolidation risk.
• Snowflake: Snowflake is a cloud data platform with growing real-time and streaming capabilities via Snowpipe Streaming and Dynamic Tables. While primarily a data warehouse, Snowflake competes for analytical and AI-driven workloads where Materialize positions itself and is also a Materialize integration partner, highlighting both overlap and ecosystem dependency.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat4 records

Key risks5 records

Key highlights7 records

Customer concentration

• Xx.com/materializeinc
• LinkedInlinkedin.com/company/materializeinc

Compliance4 records

Revenue estimate

Valuation estimate

Number of profiles

Profiles10 records

Funding overview

Funding rounds3 records

Investors4 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Materialize