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Tags: Databases
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1–24 of 36 · Most stars

Redisson: Valkey & Redis Java Client and Real-Time Data Platform. Sync/Async/RxJava/Reactive API. Extends Valkey and Redis with over 60 objects and services: Set, Multimap, SortedSet, Map, List, Queue, Deque, Semaphore, Lock, AtomicLong, Map Reduce, Bloom filter, Spring, Tomcat, Scheduler, JCache API, Hibernate, RPC, local cache..

Apache Linkis builds a computation middleware layer to facilitate connection, governance and orchestration between the upper applications and the underlying data engines.

Apache Kyuubi is a distributed and multi-tenant gateway to provide serverless SQL on data warehouses and lakehouses.

A modern SaaS template/boilerplate built with SvelteKit, Tailwind, and Supabase. Includes marketing page, blog, subscriptions, auth, user dashboard, user settings, pricing page, and more.

:rocket: An open source alternative to searx which provides a modern-looking :sparkles:, lightning-fast :zap:, privacy respecting :disguised_face:, secure :lock: meta search engine

Project SnappyData - memory optimized analytics database, based on Apache Spark™ and Apache Geode™. Stream, Transact, Analyze, Predict in one cluster

An HTTP cache system, RFC compliant, compatible with @tyktechnologies, @traefik, @caddyserver, @go-chi, @bnkamalesh, @beego, @devfeel, @labstack, @gofiber, @go-goyave, @go-kratos, @gin-gonic, @roadrunner-server, @zalando, @zeromicro, @nginx and @apache

  • http-cache
  • traefik
  • souin-instance
  • traefik-plugin

Store different kind of actions (Like ❤️, Follow 👁, Star ⭐, Block ...) in one table via ActiveRecord Polymorphic Association.

  • follow
  • followers
  • likes
  • watch

A .NET Core library designed to integrate the Dapper and graphql-dotnet projects with ease-of-use in mind and performance as the primary concern.

  • graphql-dotnet
  • graphql
  • dapper
  • dotnet-core

Long-term, cross-project memory for AI coding agents. Your own Obsidian vault as the source of truth. Daemonless and without opaque databases, your memory belongs to you.