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Overview

SnappyData Overview

Key Features

  • 100% compatible with Spar:与Spark完全兼容
  • In-memory row and column stores:基于内存的行式和列式存储
  • SQL standard compliance:支持标准SQL和丰富的扩展
  • SQL based extensions for streaming processing:基于SQL流处理的扩展
  • Not-Only SQL:可以作为数据库
  • Mutate, transact on data in Spark:支持事务操作
  • Optimizations - Indexing:支持索引
  • Optimizations - colocation:数据本性化
  • High availability not just Fault tolerance:数据容错,保持应用计算连续性
  • Durability and recovery:表可以持久化到磁盘,在启动时候恢复
  • Interactive analytics using Synopsis Data Engine (SDE): 概要数据引擎

Paper

  • SnappyData: A Unified Cluster for Streaming, Transactions, and Interactive Analytics

    PDFSlide

Reference