Extract data from production databases, file systems, SaaS applications and event streams and load into your data warehouse – flexible, reliable and secure!
Datacoral is a fully managed data platform to simplify data pipelines. Datacoral is 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.
Datacoral is an end-to-end data infrastructure that enables self-service for data scientists and analysts, tightly integrated with more than two dozen AWS services. Enjoy a single platform for data ingestion into S3, pipeline transformations developed directly in Amazon Redshift or Athena infrastructure along with monitoring, orchestration, and publishing of your data to operational and analytic system. All with Datacoral’s commitment to keeping the pipelines clean and flowing all the time.
Datacoral’s solution builds on top of AWS to provide a seamless, serverless, and scalable data infrastructure securely installed inside your AWS account, where you own the data.
Get visibility into data freshness automatically
Pay for usage, not excess server capacity
Fast, simple, and cost-effective data warehouse
Object storage built to store and retrieve data
Fast and flexible NoSQL database service
Secure data pipelines in your own private cloud
Track user activity and API usage for full auditability
Encrypt data at rest and in motion using customer managed keys
Monitor all services in a central place
EC2 runs many of Datacoral’s integrated features
EC2-based services like user-defined table functions using Amazon Batch are AL2 certified
AWS Batch Integrates with Datacoral to execute user-defined table functions.
Every day our customers use Datacoral to save them time, money, and effort on complex data infrastructure so they can focus on investing their time working in the data itself. The result is cleaner, more trustworthy data that creates more valuable analysis and happier data scientists.