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Alooma

Alooma

Alooma enabled engineering and data teams to build reliable, real-time data pipelines from any source into cloud data warehouses with minimal data loss and powerful in-stream transformation capabilities.

alooma.comTel Aviv, California, IsraelFounded 2013

Last updated May 11, 2026 by AI Enrichment

Industry
Data Integration / ETL / Data Infrastructure
Business Model
SaaS
Target Market
Mid-Market and Enterprise
Employee Count
51-200
Funding
$22M
Revenue Range
$10M-$50M
API Available
Yes
Market Position

A well-regarded cloud-native data pipeline platform competing in the modern ETL space before being acquired by Google Cloud in 2019.

Overview

Alooma was a cloud-based data integration and pipeline platform founded in Israel that allowed data engineers and analysts to collect, transform, and route data from multiple sources into cloud data warehouses such as Google BigQuery, Amazon Redshift, and Snowflake. The platform was notable for its real-time data streaming capabilities, a visual code engine for data transformation, and robust error handling that allowed teams to fix and reprocess data without losing records. Alooma positioned itself as a modern alternative to legacy ETL tools, offering flexibility and developer-friendly tooling alongside a user-friendly interface. Alooma gained significant traction among data-driven enterprises and mid-market companies looking to consolidate disparate data sources into a single warehouse for analytics and business intelligence. Its ability to handle both batch and streaming data, combined with support for hundreds of pre-built integrations, made it a competitive player in the rapidly growing data pipeline and ETL market alongside companies like Fivetran, Stitch, and Talend. In February 2019, Google acquired Alooma to accelerate the development of its data integration capabilities within Google Cloud Platform, particularly around BigQuery. Following the acquisition, Alooma's technology and team were absorbed into Google Cloud, and the Alooma product was eventually sunset. Google leveraged Alooma's expertise to enhance its own data integration offerings, including what would become part of the Google Cloud Data Fusion and BigQuery ecosystem. The Alooma brand and standalone product ceased to exist as a distinct offering.

Products & Features

Alooma Data Pipeline

Core cloud-based ETL/ELT pipeline platform for ingesting, transforming, and routing data to cloud data warehouses in real time.

Code Engine

A Python-based in-stream transformation engine that allowed developers to write custom logic to clean, enrich, and route data as it flowed through the pipeline.

Data Mapper

Visual interface for mapping source data fields to destination schema fields, simplifying schema management and transformation.

Event Stream

Real-time visibility into data flowing through pipelines, enabling monitoring, debugging, and reprocessing of failed events.

Pre-built Integrations

A library of hundreds of connectors for popular databases, SaaS applications, and event sources to accelerate pipeline setup.

Key Features
Real-time and batch data streamingPython-based in-stream code transformation engineVisual data mapping and schema managementError handling with reprocessing of failed eventsSupport for Google BigQuery, Amazon Redshift, and Snowflake destinationsHundreds of pre-built source connectorsPipeline monitoring and alertingAuto-scaling cloud infrastructure
Use Cases
Centralizing data from multiple SaaS tools into a cloud data warehouseReal-time event data ingestion for analytics and BI dashboardsDatabase replication and migration to cloud warehousesMarketing and product analytics data consolidationLog and clickstream data pipeline management
Customer Segments
Data engineering teams at mid-market and enterprise companiesSaaS and technology companiesE-commerce and retail businessesFinancial services firmsMedia and digital advertising companies
Connections

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