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Brief
Datacoral was acquired by Cloudera (2021).
Datacoral

Datacoral

Data Infrastructuredatacoral.com

Datacoral automated the creation and management of data pipelines, eliminating the need for extensive data engineering resources and reducing time-to-insight for analytics teams.

Last updated Jun 23, 2026 by ATDb automated enrichment

Founded
2016
HQ
San Francisco, California, United States
Parent
Connections
7

At a glance

Employees
11-50
Funding
$10M
6integrations1corporate family

About

Niche player in automated data pipeline management before acquisition

Datacoral was a data infrastructure company that provided an automated platform for building, managing, and monitoring data pipelines. Founded by former Facebook engineers, the company focused on simplifying the complex process of data engineering by offering a managed service that automated much of the infrastructure work traditionally required to move and transform data. The platform was designed to help data teams spend less time on infrastructure maintenance and more time on analytics and insights. Datacoral's solution addressed the growing need for reliable data infrastructure as companies increasingly relied on data-driven decision making. The platform supported various data sources and destinations, providing orchestration, monitoring, and data quality features out of the box. While not strictly an AdTech company, Datacoral served clients across multiple industries including those in the advertising and marketing technology space who needed robust data infrastructure for their analytics and reporting needs. In 2021, Datacoral was acquired by Cloudera, a leading enterprise data cloud company. Following the acquisition, Datacoral's technology and team were integrated into Cloudera's broader data platform offerings, and the Datacoral brand ceased to operate as a distinct entity. The acquisition strengthened Cloudera's data engineering and pipeline automation capabilities.

Business model

SaaS

Target market

Mid-Market, Enterprise

What they offer

  • Automated Data Pipelines

    Automated creation and management of data pipelines from various sources to destinations

  • Data Orchestration

    Workflow orchestration and scheduling for data processing tasks

  • Monitoring and Alerting

    Real-time monitoring of data pipeline health with automated alerting

  • Data Quality Checks

    Built-in data quality validation and testing capabilities

Key features

Automated pipeline generationMulti-source data integrationBuilt-in orchestrationData quality monitoringAWS-native architectureSQL-based transformations

Use cases

Marketing analytics data consolidationCustomer data platform integrationBusiness intelligence data preparationCross-platform reportingData warehouse automation

Customer segments

Data-driven enterprisesMarketing technology companiesE-commerce platformsSaaS companiesDigital media companies

Tech & specs

Technology stack

AWSPythonApache AirflowSQLKubernetes

Security & compliance

SOC 2GDPR

Deployment

Cloud

API

Yes

Corporate history
  1. 2016 · Founded
  2. 2021Acquired by Cloudera
    Still operating as part of Cloudera
Connection details
See integrations with Datacoral (6)

Explore further

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