Open-Source Databases · litedb-org

LiteDB

LiteDB is a lightweight, serverless NoSQL document database for .NET applications that stores data in a single file, similar to SQLite. It provides ACID transactions, indexing, encryption, and a MongoDB-like API without requiring a separate database server.

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Source: GitHub — github.com/litedb-org/LiteDB

9.4k

GitHub stars

1.3k

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	litedb-org/LiteDB
Owner	litedb-org
Primary language	C#
License	MIT — OSI-approved
Stars	9.4k
Forks	1.3k
Open issues	754
Latest release	v5.0.21 (2024-07-05)
Last updated	2026-06-08
Source	https://github.com/litedb-org/LiteDB

What LiteDB is

LiteDB is a single-file embedded NoSQL document store written in 100% C# for .NET 4.5+ and .NET Standard 1.3/2.0, offering ACID transactions, concurrent readers, collection-level write locks, LINQ support, and data encryption via DES/AES. The v5 engine includes a new storage layer, query engine with projection/filtering, and WAL-based crash recovery.

Quickstart

Get the LiteDB source

Clone the repository and explore it locally.

terminalbash

1git clone https://github.com/litedb-org/LiteDB.git2cd LiteDB3# follow the project's README for install & configuration

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

Best use cases

Desktop and WPF/WinForms Applications

Single-file embedded database eliminates deployment complexity for local applications; no server infrastructure required. Ideal for tools, editors, and client-side data persistence.

Multi-Tenant SaaS (Per-Account/User Data Stores)

Design pattern where each user or account gets their own isolated database file. Scales horizontally by partitioning data at application layer without managing centralized infrastructure.

Small-to-Medium Web Applications and Prototyping

Lightweight alternative to full-scale databases for low-traffic sites, MVPs, or proof-of-concept applications where operational overhead of PostgreSQL/MongoDB is unjustified.

Implementation considerations

Thread-safe by design; multiple concurrent readers supported (v5+). Ensure write-heavy code paths are optimized for collection-level locking serialization.
ACID transactions with WAL recovery mitigate write failures. Verify crash recovery behavior in your failure scenarios; WAL file must be writable and co-located with main data file.
Encryption uses DES/AES; assess whether this meets your compliance requirements (e.g., FIPS 140-2 certification not mentioned). Test key rotation and backup procedures.
LINQ and SQL-like syntax provide flexible querying. Index critical fields manually (`.EnsureIndex()`) to avoid full-collection scans on large datasets; no automatic query optimization.
Single DLL (~450 KB) means minimal external dependencies and easy deployment. Monitor file size growth in production; no built-in partitioning or archival strategies.

When to avoid it — and what to weigh

High-Concurrency Write-Heavy Workloads — Collection-level write locks serialize concurrent writes. Single-file storage and embedded architecture not designed for thousands of simultaneous writers; will bottleneck under heavy transactional load.
Distributed Database Requirements — LiteDB is single-machine only; no built-in replication, sharding, or cross-node consistency. Not suitable for geographically distributed systems or high-availability scenarios requiring failover.
Large-Scale Data (Terabyte+) or Complex Analytics — Single-file architecture and embedded design not optimized for data warehousing, complex aggregations, or datasets exceeding practical single-machine storage/memory limits.
Requirement for Multi-Language/Platform Access — Tightly coupled to .NET ecosystem. Client libraries and tooling are C#-centric; accessing the same database from Python, Java, or Node.js is not a native design pattern.

License & commercial use

MIT License. Permissive OSI-approved license allowing modification, distribution, and private use with minimal restrictions (attribution required).

MIT License explicitly permits commercial use. No proprietary tier, license agreement, or commercial restrictions stated in the project. Suitable for closed-source and commercial products. Verify no additional commercial terms are imposed by your legal review.

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

Datafile encryption available (DES/AES); assess whether algorithm strength meets your regulatory requirements. No mention of vulnerability disclosure process, penetration testing, or security audit. Single-file design reduces attack surface for privilege escalation but concentrates risk in one file. Backup and key management must be handled by application. No native authentication/authorization; rely on OS-level file permissions or .NET code controls.

Alternatives to consider

SQLite

Mature single-file relational database with broader language support (C/C++, Python, Node.js, etc.). Larger ecosystem and longer production history. Prefer if you need cross-platform/multi-language access or complex SQL queries.

MongoDB (Community or Cloud)

Fully distributed NoSQL database with replication, sharding, and multi-node support. Requires server infrastructure. Prefer if you need horizontal scaling, true HA, or native multi-language drivers.

RavenDB

.NET-native document database with similar API but distributed architecture, multi-node replication, and RavenDB Cloud hosting. More enterprise-ready; prefer if you need HA and distributed features within .NET ecosystem.

Software development agency

Build on LiteDB with DEV.co software developers

LiteDB is production-ready for single-server, embedded-database scenarios. Evaluate your concurrency and scaling requirements against its single-machine, collection-level locking design. Consult our team if you need guidance on architectural fit or multi-process deployment patterns.

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LiteDB FAQ

Can multiple processes access the same LiteDB file concurrently?

LiteDB uses file-level locking suitable for single-process or light multi-process access (e.g., one writer, many readers). High-concurrency multi-process scenarios are not recommended; consider a dedicated database server (MongoDB, RavenDB) instead.

What is the maximum database size?

Single-file storage is bounded by OS file size limits (typically terabytes on modern filesystems) and available disk/RAM. Practical limits depend on query patterns and memory constraints; no documented guidelines provided.

Does LiteDB support full-text search or complex aggregations?

Not natively. LINQ and SQL-like syntax support filtering and basic aggregation. Full-text search requires integration with external libraries (e.g., Lucene.NET). Complex analytics are better served by dedicated data warehouse solutions.

How does LiteDB compare to Entity Framework Core with SQLite?

LiteDB is document-oriented with MongoDB-like API; EF Core + SQLite is relational. EF Core offers richer ORM features, migrations, and LINQ-to-SQL translation. Choose LiteDB for document modeling and simplicity; EF Core for relational schema and complex queries.

Software development & web development with DEV.co

Need help beyond evaluating LiteDB? DEV.co is a software development agency offering software development services and web development for teams of every size. Our software developers and web developers build custom software, web applications, APIs, and open-source databases integrations — and maintain them long-term.

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