Sodadb

Sodadb

Sodadb is an open-source document-oriented database written in Java that is designed for embedding into applications. It is lightweight, easy to use, and provides fast indexing and querying of documents.
Sodadb image
documentoriented java opensource lightweight fast-indexing fast-querying

Sodadb: An Open-Source Document-Oriented Database

A lightweight Java-based database designed for embedding into applications, providing fast indexing and querying of documents.

What is Sodadb?

Sodadb is an open-source, document-oriented database written in Java that is designed to be embedded into applications. It takes advantage of document-oriented design and schema-free data models to provide a lightweight, fast, and flexible database solution.

Some key features and benefits of Sodadb include:

  • Document-oriented structure - Data is stored in flexible JSON-like documents rather than tables with predefined schema
  • Schema-free - Documents can have different structures and contain nested objects/arrays
  • Indexing for fast queries - Automatic indexing on document fields enables fast lookups and queries
  • Lightweight - Small memory and storage footprint suitable for embedding in apps
  • Querying with OO and Lambda APIs - Intuitive object-oriented and functional lambda APIs
  • Plug-in storage engines - Storage is decoupled to allow plugging in SQL, NoSQL engines
  • Written in Java - Works anywhere Java runs including mobile, web, enterprise apps
  • ACID transactions - Provides transactional integrity guarantees
  • Apache 2 license - Open source with a permissive license

With its lightweight and modular architecture, simple APIs, schema flexibility, and fast indexing and querying, Sodadb is well-suited as an embedded database for document-centric applications.

Sodadb Features

Features

  1. Document-oriented database
  2. Written in Java
  3. Designed for embedding into applications
  4. Lightweight
  5. Fast indexing and querying

Pricing

  • Open Source

Pros

Open source

Easy to use

Good performance

Cons

Limited ecosystem compared to larger NoSQL databases

Not as feature rich as other options


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