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Data discovery and metadata engine for improving the productivity of data analysts, data scientists and engineers when interacting with data.
Complete data quality platform that automatically detects and explains issues in your enterprise data.
Active metadata platform for modern data teams, that helps them discover, understand, trust, and collaborate on data assets.
Data observability platform that helps teams measure, improve, and communicate data quality clearly at any scale.
Reverse ETL tool delivering operational analytics to hundreds of the world's most data-driven companies.
Developer of an analytics engineering tool that prepares raw data in the warehouse for analysis.
Developer of a SaaS data integration service for companies to extract, load and transform data from different sources into data warehouses.
Reverse ETL tool that allows businesses to effortlessly sync their data from data warehouses to customer-facing teams' applications.
Data observability platform which increases trust in data by eliminating data downtime, so engineers innovate more and fix less.
Transforming data lakes into a fully managed Lakehouse with open and future proof data infrastructure as a service.
New workflow management system, designed for modern infrastructure and powered by an open-source engine.
SQL caching engine that helps developers build performant, real-time applications without making code changes or switching databases.
Independent cloud-native data platform powered by the open source standard for huge analytic datasets, Apache Iceberg.
Time-series SQL database providing fast analytics, scalability, with automated data management on a proven storage engine.
Centralized metrics store that enables metrics definitions in code, supports life-cycle management, and connects to any downstream tool.
