Simplified real-time data integration and transformation from multiple sources into data warehouses, enabling faster analytics and business intelligence with code-free and code-friendly options.
Last updated Feb 8, 2026
- Industry
- Data Infrastructure / MarTech
- Business Model
- SaaS
- Target Market
- Mid-Market, Enterprise
- Employee Count
- 11-50
- Funding
- $15.3M
- Revenue Range
- $10M-$50M
- Parent Company
- Google (Alphabet Inc.)
- API Available
- Yes
Market Position
Acquired data integration platform that served as a bridge between various data sources and analytics warehouses
Overview
Alooma was a data pipeline and integration company that provided cloud-based ETL (Extract, Transform, Load) services to help businesses consolidate data from multiple sources into data warehouses for analytics. While not strictly an AdTech company, Alooma served the broader marketing technology and data infrastructure ecosystem by enabling companies to integrate and analyze data from various marketing platforms, advertising channels, and customer touchpoints. The company's real-time data pipeline capabilities made it valuable for businesses needing to process and analyze large volumes of data quickly, including those in digital advertising and marketing analytics. Alooma was acquired by Google Cloud in February 2019 and its technology was integrated into Google Cloud's data integration offerings. The acquisition strengthened Google Cloud's position in the data integration market, competing against platforms like AWS Glue and Azure Data Factory. Following the acquisition, Alooma's standalone product was eventually sunset as Google incorporated its capabilities into native Google Cloud services.
Products & Features
Data Pipeline
Real-time data integration service that extracted data from various sources and loaded it into data warehouses
Code Engine
Python-based transformation engine allowing custom data transformations during the ETL process
Mapper
Visual interface for mapping and transforming data without writing code
Key Features
Real-time data replicationCustom Python transformationsVisual data mapping interfaceAutomatic schema migrationData quality monitoringMultiple data source connectorsSupport for major data warehouses
Use Cases
Consolidating marketing data from multiple advertising platformsReal-time analytics and reportingCustomer data integration for 360-degree viewData warehouse migrationBusiness intelligence data preparation
Customer Segments
E-commerce companiesSaaS businessesDigital marketing agenciesData-driven enterprisesBusiness intelligence teams