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Alcinoe empowers developers to build fast, modern apps without the usual complexity or performance bottlenecks. It keeps the focus on innovation—not tool constraints—delivering top performance, deep customization, and great cross-platform UX while staying independent of GAFA ecosystems.
A RocksDB compliant high performance scalable embedded key-value store
High performance reactive SQL client written in Java
A fast, multi-threaded Redis® and Valkey alternative written in Rust: drop-in compatible, with full-text and vector search built in
Trilogy is a client library for MySQL-compatible database servers, designed for performance, flexibility, and ease of embedding.
GhostDB is a distributed, in-memory, general purpose key-value data store that delivers microsecond performance at any scale.
Tanel Poder's Performance & Troubleshooting Tools for Oracle Databases
TokuMX is a high-performance, concurrent, compressing, drop-in replacement engine for MongoDB | Issue tracker: https://tokutek.atlassian.net/browse/MX/ |
TranslatedUniversal, flexible, high-performance distributed ID generator.
The wise choice for Ruby memoization
High-performance write & space optimized transactional storage engine.
A fully asynchronous, non-blocking, thread-safe, high-performance HBase client.
High performance, thread-safe in-memory caching primitives for .NET
Query Performance Monitoring Tool for PostgreSQL
A high performance, shared memory, lock free, cross platform, single file, no dependencies, C++11 key-value store
A tool for tuning TimescaleDB for better performance by adjusting settings to match your system's CPU and memory resources.
ZoneTree is a persistent, high-performance, transactional, ACID-compliant ordered key-value database and LSM-tree storage engine for .NET.
Ecto PostgreSQL database performance insights. Locks, index usage, buffer cache hit ratios, vacuum stats and more.
high performance in-memory cache
High-performance, time-indexed object storage for robotics and industrial IoT
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.
Quickly get a count estimation for large tables (>99% of accuracy for PostgreSQL).
Ultra High-performance Lightweight Embedded and Server OLTP RDBMS✨
High performance Cassandra client for clojure