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Riegeli/records is a file format for storing a sequence of string records, typically serialized protocol buffers.
The main features of google/riegeli are: Storage Systems.
Open-source alternatives to google/riegeli include: backtrace-labs/stuffed-record-stream — Backtrace.io's resilient log record framing format. cockroachdb/cockroach — Cockroach is a distributed SQL database designed to scale horizontally across multiple nodes while maintaining strict… cockroachdb/pebble — Pebble is an embedded key-value storage engine written in Go, designed as a library that provides durable,… google/leveldb — LevelDB is an embedded database library and persistent storage engine that provides a sorted key-value store. It uses… google/or-tools — OR-Tools is a software suite for combinatorial optimization, constraint programming, and mathematical modeling. It… lz4/lz4 — This project provides a lossless compression algorithm and a byte-oriented compression library designed for high-speed…
Backtrace.io's resilient log record framing format
Cockroach is a distributed SQL database designed to scale horizontally across multiple nodes while maintaining strict ACID compliance and global data consistency. It functions as a relational database engine that automatically partitions data into ranges, rebalancing them across a cluster to accommodate growing storage and throughput requirements. By utilizing a distributed consensus protocol, the system ensures that all nodes agree on the order of operations, providing fault tolerance and continuous availability even in the event of hardware failures. The system distinguishes itself through
Pebble is an embedded key-value storage engine written in Go, designed as a library that provides durable, write-optimized data persistence directly within applications. It organizes data using a log-structured merge-tree (LSM-tree) structure, where writes are first buffered in an in-memory skiplist memtable and persisted to a write-ahead log before being flushed to block-based SSTable files on disk. The engine supports atomic batch commits, configurable write synchronization, and automatic background compaction that merges and rewrites sorted runs to reclaim space and maintain read performanc
LevelDB is an embedded database library and persistent storage engine that provides a sorted key-value store. It uses a log-structured merge-tree architecture to map byte arrays to values, running directly within a process to provide storage without the need for a separate server process. The system is distinguished by its use of custom comparison functions to define key ordering, enabling efficient range scans and sequenced lookups. It ensures data reliability through atomic batch execution, consistent snapshot generation, and log-based recovery after failures. The engine covers broad capab