Discover powerful tools and utilities to enhance your PostgreSQL workflow
WAL-E is a Python-based tool that provides continuous archiving of PostgreSQL Write-Ahead Logging (WAL) files and base backups. Although it is currently obsolete, it serves as a foundational resource for users looking to implement backup strategies for PostgreSQL databases using cloud storage solutions, despite being outpaced by more modern alternatives.
WAL-G is a powerful archival restoration tool designed for PostgreSQL, MySQL/MariaDB, and MS SQL Server, offering enhanced performance and flexibility over its predecessor, WAL-E. It supports various compression algorithms and configurations, enabling efficient storage and retrieval of backups while ensuring data security through advanced encryption options.
Yoke is a robust auto-failover and redundancy solution designed for PostgreSQL, enabling the creation of high-availability clusters with ease of management. It ensures seamless database operations and automatic recovery from node failures, making it ideal for mission-critical applications.
YugabyteDB is a PostgreSQL-compatible distributed database designed for cloud-native applications, offering seamless scalability, high availability, and robust disaster recovery. With its unique architecture, it empowers enterprises to modernize their databases, ensuring resilience and performance across global deployments.
ZomboDB is a native Postgres extension that leverages Elasticsearch as an indexing engine to deliver powerful text search and analytics capabilities. Written in Rust, it ensures transactionally-safe query results while allowing users to utilize standard SQL for managing and querying data, significantly simplifying the integration between Postgres and Elasticsearch.
ZSON is a PostgreSQL extension designed for seamless and transparent compression of JSONB data. By utilizing a shared dictionary of frequently occurring strings within JSONB documents, ZSON can significantly reduce disk space usage and improve transaction processing speeds, making it ideal for applications with substantial JSONB data workloads.