Open-Source Databases · SleekDB

SleekDB

SleekDB is a lightweight, flat-file NoSQL database written in PHP that stores data as JSON files without external dependencies. It is designed for low-to-medium load applications managing small to medium-sized datasets (up to a few gigabytes) and requires only PHP 7+ to run.

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Source: GitHub — github.com/SleekDB/SleekDB

990

GitHub stars

Forks

PHP

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	SleekDB/SleekDB
Owner	SleekDB
Primary language	PHP
License	MIT — OSI-approved
Stars	990
Forks	87
Open issues	27
Latest release	2.50 (2025-11-16)
Last updated	2026-05-26
Source	https://github.com/SleekDB/SleekDB

What SleekDB is

A pure PHP NoSQL implementation using JSON file storage with built-in query caching, schema-free documents, nested property queries, and support for filtering, sorting, joins, and search operations. All processing occurs synchronously within the same PHP process; no background services or network protocols required.

Quickstart

Get the SleekDB source

Clone the repository and explore it locally.

terminalbash

1git clone https://github.com/SleekDB/SleekDB.git2cd SleekDB3# follow the project's README for install & configuration

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

Best use cases

Low-to-medium traffic web applications

Suitable for small content management systems, blogs, or internal tools where concurrent load is modest and dataset size remains under a few gigabytes. No separate database server needed.

Rapid prototyping and MVP development

Schema-free design and simple API enable quick iteration without database schema design upfront. Easy to migrate data later as requirements clarify.

Shared hosting and edge deployments

Runs on shared servers without special permissions, no binary dependencies, and file-based storage simplifies backup and migration. Suitable for deployment environments with limited system-level control.

Implementation considerations

Verify PHP 7+ availability in your hosting environment and confirm file system write permissions for the data directory.
Plan cache invalidation strategy, especially for multi-process or CLI applications where cache state may diverge.
Design for gradual data growth; test query performance as dataset approaches gigabyte scale to identify when migration to a traditional database is needed.
Implement manual locking or synchronization if concurrent writes from multiple requests occur; SleekDB has no built-in concurrency control.
Establish a reliable backup procedure since data is stored as files; consider automated snapshots or file-system-level backups.

When to avoid it — and what to weigh

High-concurrency or heavy I/O workloads — Not designed for heavy-load operations. File-based storage and in-process caching make it unsuitable for applications with many simultaneous writes or complex transactional requirements.
Multi-server or distributed deployments — Data stored as local files; no built-in replication, clustering, or network protocol. Requires custom synchronization logic for distributed setups.
Complex relational queries or ACID transactions — While it supports joins and nested queries, it lacks full ACID guarantees and is not optimized for complex cross-collection transactions typical of relational databases.
Large datasets requiring advanced indexing — Performance degrades with dataset size. No built-in advanced indexing strategies; queries on large collections will traverse files, making full-text search or complex aggregations slower than specialized databases.

License & commercial use

MIT License (OSI-approved, permissive open-source license). Permits commercial and proprietary use, modification, and distribution with minimal restrictions.

MIT License permits unrestricted commercial use, including in proprietary products. No licensing fees or commercial restrictions documented. Review your own legal/compliance requirements independently.

DEV.co evaluation signals

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

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

Security considerations

Flat-file storage means data persists as readable JSON on disk; ensure proper file system permissions and access controls. No built-in encryption at rest or in transit. Input validation and SQL injection-like attack prevention depend on application-level code. No documented security audit or vulnerability disclosure policy. Suitable only for non-sensitive or internal data; not recommended for personal identifiable information or regulated data without additional hardening.

Alternatives to consider

SQLite

Lightweight embedded SQL database with ACID guarantees, indexing, and better concurrency control. Suitable for local/single-server use cases requiring stronger data consistency.

MongoDB

Production-grade NoSQL database with distributed scaling, replication, and advanced querying. Better suited for applications outgrowing file-based storage or requiring multi-server deployments.

TinyDB (Python) or LowDB (Node.js)

Language-specific alternatives offering similar simplicity and file-based storage; better integrated with their respective ecosystems if not locked into PHP.

Software development agency

Build on SleekDB with DEV.co software developers

Contact our engineering team to assess whether SleekDB fits your use case, or discuss migration strategies if you anticipate outgrowing file-based storage.

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SleekDB FAQ

Can SleekDB scale to production?

Only for low-to-medium traffic, single-server applications with modest dataset sizes. For high-concurrency, distributed, or rapidly-growing data, migrate to a traditional database like PostgreSQL or MongoDB.

Is there ACID transaction support?

No. SleekDB offers no guarantees for multi-operation transactions or rollback. Each operation is independent; concurrent writes may cause data loss or corruption.

How do I back up my data?

Since data is stored as JSON files, standard file-system backup tools work directly. Copy the data directory to a safe location or integrate with automated backup services.

What are performance limits?

Exact limits depend on hardware and query complexity, but the README states it is designed for 'a few gigabytes' of data. Test early with realistic dataset sizes; query performance degrades as file counts and sizes increase.

Software development & web development with DEV.co

Adopting SleekDB 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.

Ready to evaluate SleekDB for your project?

Contact our engineering team to assess whether SleekDB fits your use case, or discuss migration strategies if you anticipate outgrowing file-based storage.

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