Search Results for "multiple key"

BitalosDB is a distributed, high-performance key-value database designed for cloud-native applications. It is optimized for scalability, supporting large workloads while maintaining low latency and high availability.

BuntDB is an embeddable, in-memory key/value database written in Go, with optional persistence to disk. It is built for scenarios where you want a lightweight, fast store (reads and writes in memory) but also durability (via append-only file format) and transactional semantics (ACID with single-writer, multiple-reader locking). Among its distinguishing features are support for custom indexing (even within JSON values), spatial (geospatial) indexes with support up to 20 dimensions, flexible iteration over keys (ascending, descending, ranges), TTL/expiry eviction, and embeddability. ...

WAL-G is an archival restoration tool for PostgreSQL, MySQL/MariaDB, and MS SQL Server (beta for MongoDB and Redis). WAL-G is the successor of WAL-E with a number of key differences. WAL-G uses LZ4, LZMA, ZSTD, or Brotli compression, multiple processors, and non-exclusive base backups for Postgres. More information on the original design and implementation of WAL-G can be found on the Citus Data blog post "Introducing WAL-G by Citus: Faster Disaster Recovery for Postgres". A precompiled binary for Linux AMD 64 of the latest version of WAL-G can be obtained under the Releases tab. ...

Trousseau is an encrypted key-value store designed to be a simple, safe and trustworthy place for your data. It stores data in a single encrypted file. It supports both asymetric encryption using OpenPGP, and symmetric encryption using AES256. It can be easily synced across devices using Dropbox, OneDrive. It can be exported and imported to/from multiple remote storages using integrated S3, ssh, and gist support.

Bolt is a pure Go key/value store inspired by Howard Chu's LMDB project. The goal of the project is to provide a simple, fast, and reliable database for projects that don't require a full database server such as Postgres or MySQL. Since Bolt is meant to be used as such a low-level piece of functionality, simplicity is key. The API will be small and only focus on getting values and setting values.