📦ytsaurus / ytsaurus
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YTsaurus is a scalable and fault-tolerant open-source big data platform.
⚖️ Apache-2.0#big-data#clickhouse#distributed-database#lakehouse#olap-database🌐 ytsaurus.tech📅 创建于 2022-12-05🔄 更新于 2026-10-29

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YTsaurus

Website | Documentation | YouTube

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:

video about YTsaurus

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.

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