Overview
News
Technologies
Salaries
Products
People
Growth
Jobs
Financials

Overview

The Cloud Database for Fast-Changing Data. We put a streaming engine in a database, so your team can build real-time data products without the cost, complexity, and development time of stream processing.

News

Blog 29 days ago
Dictionary Compression in Materialize
Materialize computes and then continually maintains the results of your SQL, as the underlying data change. One consequence is that it needs to keep quite a lot of data live and ready to go at a moment's notice. Naively, this translates to quite a lot of
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Blog 1 month ago
Product Update: July 2026
In July we continued to invest in running context-engineering workloads reliably at scale, and in making it easier to build on Materialize with coding agents. Here are some of the highlights; for the full list of changes, see the release notes.Sources and
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Blog 1 month ago
How a Live Context Graph Reduces Your AI Spend
The teams getting their AI spend under control are doing it through context engineering, not usage caps. The key to their success is where that engineering happens: in a live context graph.How agents spend tokensThe cost equation for an AI agent task is s
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Blog 1 month ago
Connect your agents to Materialize with built-in MCP servers
Materialize is an agent-native platform, and that means different things for different agents. A coding agent operates the platform itself: it models data, deploys changes, and works out why something broke, without a human driving each step. An applicati
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Technologies

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Tech DNA
SQL
Rust
Go
Flink
ClickHouse
Snowflake
AWS
Azure
GCP
AI/ML
SQL
Python
AI Agents
Flink
Spark
ClickHouse
Databricks
Snowflake
AWS
Azure
GCP
Other
Rust
Go
Apache Kafka
Salesforce
Stack modernity Cutting-edge
79/100
How modern this stack is, based on technology relevance, AI adoption and the share of legacy tools.
In-demand technologies
SQL 2 jobs Required
AI Agents 2 jobs Required
Rust 1 job Required
Python 1 job Optional
Go 1 job Optional
Snowflake 1 job Required
Salesforce 1 job Required
Spark 1 job Required
Salary medians are calculated from this company's open jobs and compared with the market.
Industry adoption
Python
20%
AWS
16%
SQL
14%
AI Agents
14%
GCP
12%
Azure
12%
Share of companies in the same industry that use each technology.
Stack changes
Spark Aug 2026
Snowflake Aug 2026
Salesforce Aug 2026
Python Aug 2026
Go Aug 2026
GCP Aug 2026
Flink Aug 2026
Databricks Aug 2026
Technologies recently added to or removed from this company's stack - a signal of tech migrations and new initiatives.

Growth

Hiring Momentum
58/100
Growing
Open positions
2
0 opened / 1 closed in 30 days
ATS activity
Every ~3 days
08/30/2026
Hiring Dynamics +100%
Hiring Focus
The percentage next to each role is its share of the company's job openings over the last 90 days; the arrow shows the shift versus the previous period.
Backend
100%
Activity Timeline
Added Spark to stack Aug 2026
Added Snowflake to stack Aug 2026
Added Salesforce to stack Aug 2026
Added Python to stack Aug 2026
Added Go to stack Aug 2026
Added GCP to stack Aug 2026
Added Flink to stack Aug 2026
Added Databricks to stack Aug 2026
Added ClickHouse to stack Aug 2026
Added Azure to stack Aug 2026
Added AWS to stack Aug 2026
Added Apache Kafka to stack Aug 2026

Jobs

Field Engineer

Verified live · 1 day ago 9 months ago
$121k – $241k per year (Estimated) • In office • Full-Time • 4+ years exp • New York
Go
Python
SQL
Apache Kafka
ClickHouse
Databricks
Snowflake
AI/ML
AI Agents
Flink
Spark
DevOps
AWS
Azure
GCP
Marketing
Salesforce
Apply

Senior / Staff Software Engineer (Database)

Verified live · 1 day ago 1 year ago
$179k – $335k per year (Estimated) • In office • Full-Time • New York
Rust
SQL
AI Agents
Apply