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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.

post about YTsaurus

• 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. [Todo: check link]

• Build from source code. [Todo: fill in BUILD.md]

We are glad to welcome new contributors!

1. Please read the contributor's guide. [Todo: fill in CONTRIBUTING.md]
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.