Awesome GitHub RepositoriesOptimized Query Plans

Hazelcast is a distributed data platform that combines an in-memory data grid with a stream processing engine to support real-time analytics and event-driven applications. It functions as a partitioned, distributed key-value store that replicates data across cluster nodes to provide low-latency access and high availability. The platform also serves as a distributed SQL query engine, allowing users to execute standard SQL statements against both in-memory datasets and external data sources. What distinguishes Hazelcast is its use of a distributed consensus subsystem to maintain strongly consis

Pinot is a distributed, columnar analytical database designed for high-concurrency, low-latency query processing. It functions as a real-time OLAP datastore, enabling interactive, user-facing analytics by ingesting and querying massive datasets from both streaming and batch sources. The system architecture relies on a centralized controller for cluster coordination and a distributed segment-based storage model to ensure horizontal scalability. The platform distinguishes itself through a hybrid ingestion pipeline that unifies real-time event streams and historical batch data into a single quer

Ignite 是一个分布式内存数据网格和计算平台。它作为一个分布式 SQL 数据库和存储引擎，旨在将大数据集存储和处理在 RAM 中，以最大限度地减少延迟并提高计算速度。 该系统以其多层存储引擎而著称，该引擎管理跨内存和磁盘的数据放置，以平衡高速访问与大容量存储。它具有一个分布式计算网格，可直接在数据所在的节点上执行自定义逻辑，从而减少网络流量。 该平台提供了一套广泛的功能，包括 ACID 事务管理、标准 SQL 查询和键值操作。它支持通过响应式流进行大容量数据摄取，并提供通过多种编程语言、标准数据库驱动程序和 REST API 的集成。该系统可以作为分布式集群部署在容器中，或通过 Kubernetes 进行编排。 该项目使用 Java 编写，可通过二进制归档文件安装。