Open-Source Databases · ostafen

clover

CloverDB is a lightweight, embedded NoSQL database written in Go that stores documents as JSON and organizes them into collections. It prioritizes simplicity and maintainability over high performance, making it suitable for applications that do not require a separate database server.

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Source: GitHub — github.com/ostafen/clover

824

GitHub stars

Forks

Primary language

MIT

License (OSI-approved)

Key facts

Objective fields from the source. Values we can't verify are shown as “Unknown” rather than guessed.

Field	Value
Repository	ostafen/clover
Owner	ostafen
Primary language	Go
License	MIT — OSI-approved
Stars	824
Forks	69
Open issues	21
Latest release	v1.2.0 (2022-05-21)
Last updated	2025-09-09
Source	https://github.com/ostafen/clover

What clover is

A pure Go document-oriented database with a schemaless, collection-based model supporting fluent query APIs, sorting, filtering, indexing, and pluggable storage backends (Bolt or Badger). Documents are identified by UUID and can be imported/exported as JSON.

Quickstart

Get the clover source

Clone the repository and explore it locally.

terminalbash

1git clone https://github.com/ostafen/clover.git2cd clover3# follow the project's README for install & configuration

Need it deployed, integrated, or customized instead? DEV.co ships production installs.

Best use cases

Embedded Go Applications with Simple Data Needs

Applications that need persistent storage without running a separate database server, such as CLI tools, desktop apps, or microservices with modest data requirements and simple query patterns.

Prototyping and Development Environments

Early-stage projects or development environments where schema flexibility and zero-configuration setup reduce friction, allowing teams to iterate quickly without database infrastructure overhead.

IoT and Edge Computing with Local Storage

Lightweight applications running on edge devices or IoT gateways that need to persist JSON documents locally without external dependencies, with optional in-memory backends for constrained environments.

Implementation considerations

Requires Go 1.18 or higher; integration as a library in existing Go projects is straightforward via standard import paths.
Storage backend selection (Bolt vs. Badger) should be determined early based on database size constraints and memory requirements; Badger supports in-memory mode for ephemeral use cases.
Indexing is available but not automatic; define indexes on frequently queried fields to avoid full collection scans, as no query optimizer is mentioned.
Document IDs are auto-generated UUIDs in the _id field; custom ID strategies are not evident from documentation.
No built-in replication or persistence guarantees beyond the underlying storage engine; backup/recovery relies on export/import or direct file-level snapshots.

When to avoid it — and what to weigh

High-Throughput or High-Concurrency Workloads — CloverDB explicitly trades performance for simplicity and is not intended as an alternative to MongoDB or MySQL. Applications requiring distributed transactions, complex joins, or heavy concurrent writes should use purpose-built databases.
Multi-Process or Network-Distributed Access — CloverDB is designed as an embedded database; concurrent access from multiple processes or over a network is not a design goal. Projects requiring inter-process or client-server database patterns need different solutions.
Large-Scale Data Storage or Complex Querying — The README describes database size as a constraint consideration; projects storing terabytes of data or executing complex analytical queries will face performance and scalability limitations.
Production Environments Requiring SLA Guarantees — Active development but relatively small adoption (824 stars) and no explicit production hardening statements; mission-critical systems with uptime SLAs should evaluate stability and support maturity carefully.

License & commercial use

CloverDB is licensed under the MIT License, a permissive open-source license that allows commercial use, modification, and distribution with minimal restrictions.

MIT License explicitly permits commercial use. However, no commercial support, warranty, or liability terms are evident from the license alone. Organizations deploying CloverDB in production should evaluate maintainer responsiveness, code stability, and internal testing before assuming production-grade support.

DEV.co evaluation signals

Editorial assessment — not user reviews. Directional, with an explicit confidence level.

Signal	Assessment
Maintenance	Active
Documentation	Adequate
License clarity	Clear
Deployment complexity	Low
DEV.co fit	Good
Assessment confidence	High

Security considerations

No security-specific features or hardening statements are documented (e.g., no encryption, access control, or audit logging). As an embedded database, it inherits the security model of the host process; data is not encrypted at rest by default. Applications handling sensitive data should implement application-layer encryption and rely on OS-level file permissions.

Alternatives to consider

BoltDB

A simpler key-value store also written in pure Go; CloverDB can use Bolt as a backend, making it a direct alternative if document querying and JSON marshaling are not needed.

SQLite

A widely-adopted embedded SQL database with stronger ACID guarantees, better tooling, and broader ecosystem; preferred if relational queries or cross-platform compatibility are important.

MongoDB (embedded via mgo/mongo-go-driver)

Similar document-oriented model but with production-grade performance, replication, and widespread adoption; better for applications expecting to scale or migrate to a server later.

Software development agency

Build on clover with DEV.co software developers

Contact our technical team to discuss whether CloverDB fits your application architecture, or explore alternative solutions tailored to your scale and complexity requirements.

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clover FAQ

Can multiple processes access the same CloverDB database concurrently?

CloverDB is designed as an embedded database for single-process use. Multi-process access is not a design goal and is not recommended; use a server-based database (e.g., MongoDB) for that pattern.

What happens if the application crashes? Is data safe?

Data safety depends on the underlying storage engine (Bolt or Badger). Both provide some durability guarantees, but CloverDB itself does not document explicit transaction or fsync semantics. For critical data, test crash recovery scenarios.

How large can a CloverDB database grow?

The README notes that database size is a constraint consideration, especially when using Badger. No specific limits are documented; testing is required for your workload. Bolt may be more suitable for size-constrained scenarios.

Does CloverDB support complex queries or joins?

CloverDB supports filtering, sorting, limiting, and indexing on single or multiple fields, but does not support joins. Complex analytical queries may require fetching and processing multiple collections in application code.

Software developers & web developers for hire

Adopting clover is usually one piece of a larger software development effort. As a software development agency, DEV.co provides software development services and web development expertise — pairing senior software developers and web developers with your team to design, build, and operate open-source databases software in production.

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