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RestreamEmbeddable, in-memory document database for fast, complex queries
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Summary
Restream's Reindexer is an embeddable, in-memory, document-oriented database designed as a high-performance alternative to systems like Elasticsearch. It targets developers seeking fast search capabilities with complex query support, offering a C++ core for speed and a Go API for ease of use.
How It Works
Reindexer leverages a C++ core for its performance-critical operations, exposing a high-level Go API with an ORM-like query builder. It prioritizes low memory allocation during queries through optimizations like dense C++ structs and string deduplication. The architecture supports advanced features such as full-text search, vector indexes (ANN/KNN), and hybrid search, all while maintaining an in-memory focus for speed.
Quick Start & Requirements
For server mode, installation involves go get -a github.com/restream/reindexer/v5 or using the official Docker image. Embedded mode requires a C++20 toolchain, CMake, LevelDB, and potentially OpenMP/BLAS/LAPACK for vector index support. Building requires g++ 10+, clang 15+, or mingw64. The go get command is recommended for Go modules, with options for local source replacement or vendoring.
Highlighted Details
Maintenance & Community
Help is available via a Telegram group. The README does not detail specific contributors, sponsorships, or a public roadmap.
Licensing & Compatibility
The project's license is not explicitly stated in the provided README. This omission requires further investigation for commercial use or integration into closed-source projects.
Limitations & Caveats
The internal C++ API is noted as unstable and subject to change. Sharding support is described as basic. The lack of a clear license is a significant adoption blocker.
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