ELT data pipelines in AWS
Datacoral’s ingest platform allows customers to extract their data from production databases, file systems, SaaS applications, and event streams into their data warehouse and data lake without data ever leaving their VPC.

Datacoral’s ingest platform allows customers to extract their data from production databases, file systems, SaaS applications, and event streams into their data warehouse and data lake without data ever leaving their VPC.
Datacoral’s ingest platform allows customers to extract their data from production databases, file systems, SaaS applications, and event streams into their data warehouse and data lake without data ever leaving their VPC.
Datacoral provides serverless, ELT-based pipelines in AWS designed to collect data from any source and make them queriable in data warehouses like Redshift, Athena, and Snowflake. Datacoral automatically detects schema changes at the source and applies them at the destination. In addition, customers get full visibility into data quality and freshness and can specify data validation rules using simple SQL so that they can be guaranteed that the data they are querying is fresh and of good quality.
Datacoral’s Observable Data Pipelines provide unprecedented visibility into performance and data quality.
Aaron Gibralter – Director of Engineering, Greenhouse
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Asha Visweswaran – Co-Founder and COO, Swing Education
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Sam Purtill – Co-founder & CTO, Jyve
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Datacoral is all in on AWS! We are an AWS Advanced Technology Partner, recognized for our Data & Analytics Competency and a launch partner of the APN Global Startups Program. Our customers trust us for a secure, scalable, and high performance data infrastructure within their AWS VPC.
Our stance on trials is to run them within our customer’s environments. With Datacoral trials, customers:
So, together with Amazon Web Services (AWS), we are covering the costs of the cloud resources consumed during the trial!
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