boltdb/boltArchived

Features

• Key-Value Stores - Implements a high-performance, file-based key-value store embedded directly within Go applications.
• Key-Value - Provides a persistent key-value store for Go applications using a B+tree for ordered data storage.
• ACID Transactional Cores - Ensures data consistency through ACID-compliant read-only and read-write transactions.
• Atomic Commit Logs - Implements an atomic commit log to ensure data integrity and recovery of the last consistent state after crashes.
• Memory-Mapped File Access - Maps the database file directly into the process address space for fast random-access reads without system calls.
• Database Transaction Management - Maintains data consistency across multiple simultaneous clients using thread-safe read and write operations.
• Disk Synchronization - Writes modified memory data to physical storage to ensure durability and prevent data loss during crashes.
• Sorted Indexing - Uses B+tree structures to maintain ordered data, enabling efficient range queries and sorted key retrieval.
• Memory-Mapped Storage - Maps the database file directly into the process address space for fast random-access reads.
• Multi-Version Concurrency Control - Provides a consistent snapshot of data to readers without blocking writers using multi-version concurrency control.
• Multi-Version Concurrency Control - Uses lock-free multi-version concurrency control to allow simultaneous readers without blocking a writer.
• Single-Writer Multi-Reader Locking - Ensures data consistency by allowing multiple simultaneous read-only transactions while permitting only one active writer.
• B-Tree - Uses B+Tree structures to organize data on disk for efficient sorted key retrieval and range scans.
• Transaction Managers - Provides atomic read and write operations to maintain data consistency and integrity within the local store.
• Write Throughput Optimizations - Combines multiple write operations into single transactions to increase throughput and reduce disk commit overhead.
• Data-Block Management - Reclaims unused data pages and organizes storage blocks to optimize the allocation of new data.
• Database Backups - Writes consistent snapshots of the database to a file without blocking concurrent reads and writes.
• Page-Based Storage - Tracks and reuses fixed-size pages of disk space to optimize allocation and reduce file fragmentation.
• Key Seeking - Provides the ability to move a cursor to a specific key or the nearest succeeding key.
• Key-Value Store Iterators - Traverses keys in byte-sorted order using a cursor for sequential, prefix-based, or range-based scans.
• Nested Bucket Hierarchies - Organizes key-value pairs into a tree of nested buckets to provide logical namespaces and data isolation.
• Nested Data Buckets - Allows organizing data collections into a hierarchy by placing buckets inside other buckets to group related information.
• Persistent Application State - Ensures application state is persisted to disk to survive process restarts and system crashes.
• Single-Node Databases - Operates as a self-contained database instance that persists all data to a single local file.
• Databases - Embedded key-value database.
• Databases and Storage - Embedded key/value database.
• Databases & Data - Embedded key/value database for simple storage needs.
• Embedded Databases - Low-level key-value database for Go applications.
• Key-Value Stores - Embedded key-value database for Go applications.

Star history