Alooma provided automated, real-time data pipeline infrastructure that simplified the process of moving and transforming data from multiple sources into cloud data warehouses for analytics.
Last updated Mar 7, 2026 by AI Enrichment
Mid-tier data integration platform focused on cloud data warehouse connectivity
Alooma was a data integration and pipeline platform founded in 2013 that helped enterprises consolidate data from various sources into cloud data warehouses like Amazon Redshift, Google BigQuery, and Snowflake. The company provided real-time data migration, transformation, and integration capabilities, allowing businesses to build unified data infrastructures for analytics and business intelligence purposes. While Alooma served various industries, it had particular relevance to the AdTech ecosystem as marketing and advertising companies relied on its platform to consolidate data from multiple advertising platforms, analytics tools, and customer touchpoints into centralized data warehouses for comprehensive campaign analysis and attribution modeling. The platform's ability to handle high-volume data streams and provide real-time transformations made it valuable for data-driven marketing operations. In February 2019, Google acquired Alooma and subsequently shut down the standalone service. Google integrated Alooma's technology and team into its Google Cloud Platform, particularly enhancing its data migration and integration capabilities within BigQuery and other GCP services. The Alooma brand and independent platform ceased to exist following the acquisition, with existing customers transitioned to alternative solutions or Google Cloud services.
Core platform for building and managing data pipelines from various sources to cloud data warehouses
Capability to stream and integrate data in real-time from databases, APIs, and event streams
Built-in transformation capabilities using Python code to clean and structure data during pipeline processing