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YTsaurus is a distributed storage and processing platform for big data with support for MapReduce model, a distributed file system and a NoSQL key-value database.

You can read post about YTsaurus or check video:

• A set of interrelated subsystems: MapReduce, an SQL query engine, a job schedule, and a key-value store for OLTP workloads.
• Support for large numbers of users that eliminates multiple installations and streamlines hardware usage

• No single point of failure
• Automated replication between servers
• Updates with no loss of computing progress

• Up to 1 million CPU cores and thousands of GPUs
• Exabytes of data on different media: HDD, SSD, NVME, RAM
• Tens of thousands of nodes
• Automated server up and down-scaling

• Expansive MapReduce module
• Distributed ACID transactions
• A variety of SDKs and APIs
• Secure isolation for compute resources and storage
• User-friendly and easy-to-use UI

• A well-known SQL dialect and familiar functionality
• Fast analytic queries
• Integration with popular BI solutions via JDBC and ODBC

• A set of popular tools for writing ETL processes
• Launch and support for multiple mini SPYT clusters
• Easy migration for ready-made solutions

Try YTsaurus cluster using Kubernetes or try our online demo.

• Build from source code.

We are glad to welcome new contributors!

1. Please read the contributor's guide and the styleguide.
2. We can accept your work to YTsaurus after you have signed contributor's license agreement (aka CLA).
3. Please don't forget to add a note to your pull request, that you agree to the terms of the CLA.