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🏆 Real-Time no-code, powerful and secure ORM 🚀 providing APIs and Docs without coding by Backend, and Frontend(Client) can customize response JSONs 🏆 实时 零代码、全功能、强安全 ORM 库 🚀 后端接口和文档零代码,前端(客户端) 定制返回 JSON 的数据和结构

Apache Druid: a high performance real-time analytics database.

  • druid

Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)

The world's fastest open query engine for sub-second analytics both on and off the data lakehouse. With the flexibility to support nearly any scenario, StarRocks provides best-in-class performance for multi-dimensional analytics, real-time analytics, and ad-hoc queries. A Linux Foundation project.

FlexyPool adds metrics and failover strategies to a given Connection Pool, allowing it to resize on demand.

  • connection-pool
  • java
  • histogram
  • dbcp

Open-source, self-hosted enterprise & site search server built on OpenSearch. Crawls web / file / DB / cloud sources, 20+ languages, REST API, and AI/RAG & semantic search. Apache-2.0.

🔐 Tutorial of setting up Security for your API with one way authentication with TLS/SSL and mutual authentication for a java based web server and a client with both Spring Boot. Different clients are provided such as Apache HttpClient, OkHttp, Spring RestTemplate, Spring WebFlux WebClient Jetty and Netty, the old and the new JDK HttpClient, the old and the new Jersey Client, Google HttpClient, Unirest, Retrofit, Feign, Methanol, vertx, Scala client Finagle, Featherbed, Dispatch Reboot, AsyncHttpClient, Sttp, Akka, Requests Scala, Http4s Blaze, Kotlin client Fuel, http4k, Kohttp and ktor. Also other server examples are available such as jersey with grizzly. Also gRPC, WebSocket and ElasticSearch examples are included

  • tls
  • truststore
  • certificate
  • keystore

Fast and Easy mapping from database and csv to POJO. A java micro ORM, lightweight alternative to iBatis and Hibernate. Fast Csv Parser and Csv Mapper

The legacy distributed object storage server developed by PitchPoint Solutions can store billions of large and small files using minimal resources. Object data is stored in replicated volumes implemented like Facebooks Haystack Object Store. Object metadata which essentially maps an object name to a volume position is stored in an elasticsearch index. (Development by PitchPoint Solutions has been discontinued)