

YTsaurus
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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:

Advantages of the platform
Multitenant ecosystem
- 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
Reliability and stability
- No single point of failure
- Automated replication between servers
- Updates with no loss of computing progress
Scalability
- 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
Rich functionality
- 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
YTsaurus Flow
- Native framework for real-time data stream processing
- Efficient stateful computations for recommendation and content systems
- Complex pipeline topologies with automatic partitioning and balancing
- Exactly-once processing by default
CHYT powered by ClickHouse®
- A well-known SQL dialect and familiar functionality
- Fast analytic queries
- Integration with popular BI solutions via JDBC and ODBC
SPYT powered by Apache Spark
- A set of popular tools for writing ETL processes
- Launch and support for multiple mini SPYT clusters
- Easy migration for ready-made solutions
Getting Started
Try YTsaurus cluster using Kubernetes or try our online demo.
How to Build from Source Code
How to Contribute
We are glad to welcome new contributors!
Please read the contributor's guide and the styleguide for more details.