Buntdb

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buntdb is an embeddable, in-memory key/value database for Go with custom indexing and geospatial support. It persists to disk, is ACID compliant, and uses locking for multiple readers and a single writer.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is buntdb?

BuntDB is a low-level, in-memory key/value store written entirely in Go, designed for projects prioritizing speed over data size. It offers ACID compliance and persistence to disk through an append-only file format. A key differentiator is its robust support for custom indexing, including spatial indexing for up to 20 dimensions, which is particularly useful for geospatial applications. It also allows for indexing fields within JSON documents using GJSON and supports multi-value indexes, similar to multi-column indexes in SQL databases. BuntDB provides flexible data iteration capabilities, built-in types for common data indexing, and an option to evict old items with TTL expiration.

Best used for

Ideal for developers who need to embed a fast, dependable key/value database directly into their Go applications, manage geospatial data efficiently, and create custom indexes for various data types. Especially valuable for projects requiring high-speed data access and flexible indexing capabilities.

Common actions

manage data in-memory

index custom data

handle geospatial data

persist key/value data

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Capabilities

Key features

In-memory key/value store
Custom indexing
Geospatial data support
JSON document indexing
ACID compliant transactions
TTL expiration for items

Target Audience

developerstartup founder

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What programming language is BuntDB designed for?

BuntDB is specifically designed for Go, providing a low-level, in-memory key/value store written entirely in pure Go. It integrates seamlessly into Go applications, offering an embeddable database solution for developers working with the language.

Does BuntDB support geospatial data queries?

Yes, BuntDB has robust support for spatial indexes using an R-tree, allowing for up to 20 dimensions. This makes it highly suitable for geospatial applications, enabling queries like intersections and k-Nearest Neighbors searches on location data.

Can BuntDB index fields within JSON documents?

Absolutely. BuntDB leverages GJSON to enable indexing on individual fields inside JSON documents. This allows for flexible querying and ordering of data based on specific JSON properties, enhancing data retrieval capabilities.

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