AWS-native Data Pipelines: Trustworthy Data Infrastructure

Go Beyond ETL and create end-to-end data pipelines with a single platform.

Use your SQL skills in Amazon Redshift, Athena or Snowflake to write transformations and publish your data anywhere.

We reduce the complexity of traditional multi-tool architectures, orchestrate every stage, and catch and fix errors before you notice.

You focus on creating value from your data, we keep it flowing.

Meet us at AWS re:Invent December 2 – 6, 2019

End-to-End Data Pipelines with Publishing & Trouble Detection

Automate data pipelines in AWS to feed Redshift and watch data flow

Work within your Data – We are your Data Infrastructure

SQL Makes Building Data Pipelines Easy

Invest your time working in data, using your SQL skills instead of troubleshooting broken data pipelines. Get full visibility into data pipeline flow, orchestration and provenance. Accelerate data refresh cycles, and publish data where it’s need.

Serverless Deployment is Cost Effective

Datacoral deploys Serverless Microservices (functions that we call Slices) in your AWS account. This method gives you full control over security and your data pipeline operating costs. Our platform allows you to ingest data from more than 75 sources, transform and publish refined results anywhere.

Reliable, Fully Managed Data Pipelines

We support AWS best practices for security, ELT data integration, data warehouse management and scaling. Our platform is fully orchestrated, and is automatically aware of changes in external data APIs, schema and data values, both up and downstream, which allows us to catch and clean issues that multi-tool pipelines miss.

Built-in Security

Installed in your AWS VPC, your data is encrypted using your keys and none of it ever leaves your control. Datacoral is HiPAA compliant.

Our Customers are Amazing Startups and Enterprises

“Datacoral has become an essential piece of our data infrastructure.”

Aaron Gibralter – Director of Engineering, Greenhouse

Read Case Study

“Datacoral made us smarter and sooner.”

Cyril Gantzer – Head of Growth and Analytics, Front

Read Case Study
Jyve uses Datacoral

“To us, Datacoral is like having an expert data engineering team and ELT pipeline for a fraction of the time and cost.”

Sam Purtill – Co-founder & CTO, Jyve

Read Case Study

Build SQL transformation pipelines, while we run your infrastructure

Setup you end-to-end data pipelines in minutes

Request Demo

We use cookies on our website. If you continue to use our website, you are agreeing to our use of cookies in accordance with our Cookie Statement. For information about how to change your cookie settings, please see our Cookie Statement.