RocksDB and DorisDB are both open-source distributed database management systems, but they have different use cases and features.

  1. RocksDB:

    • Developed by Facebook, RocksDB is an embeddable persistent key-value store for fast storage systems.
    • It is designed to provide high performance for read-intensive workloads.
    • RocksDB is used as a storage engine in many popular systems like Apache HBase, Apache Flink, and CockroachDB.
    • It is optimized for solid-state drives (SSDs) and provides features like compression, compaction, and write-ahead logging.
  2. DorisDB (formerly known as Palo):

    • DorisDB is an open-source MPP (massively parallel processing) database designed for analytical workloads.
    • Developed by Baidu, it provides low-latency SQL queries and high-concurrency data processing.
    • DorisDB supports real-time data ingestion, multi-dimensional data modeling, and high availability.
    • It is commonly used for data warehousing, business intelligence, and OLAP (online analytical processing) applications.

In summary, RocksDB is a key-value store optimized for fast storage systems, while DorisDB is a distributed MPP database designed for analytical workloads.


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