Open Source Android Database Management Systems (DBMS)

Firebird RDBMS offers ANSI SQL features & runs on Linux, Windows & several Unix platforms. Features excellent concurrency & performance & powerful stored procedure & trigger language. More information and downloads at https://firebirdsql.org/, issue tracker is https://github.com/FirebirdSQL/firebird/issues

Sentinel is a filesystem-backed document DBMS built in Rust that prioritizes compliance, transparency, and auditability over raw performance. Unlike traditional databases, every document is a plain JSON file, making your data immediately forensic-friendly and Git-versionable. Perfect for regulated industries requiring GDPR, SOC 2, HIPAA, or PCI-DSS compliance. Sentinel provides async operations with automatic BLAKE3 hashing and optional Ed25519 signatures for cryptographic integrity. Data encryption supports AES-256-GCM, XChaCha20-Poly1305, and Ascon-128. Each document includes full audit metadata—creation timestamps, version history, hashes, and signatures—viewable with standard UNIX tools. Designed for edge deployments, compliance systems, audit logs, certificate management, and regulatory reporting. No server required, works entirely on filesystem with Git-based replication. Zero vendor lock-in—migrate anytime using standard tools like rsync, tar, or git.

- Suitable for mobile apps, enterprise software in C#, data science tasks. - Can be easily used as a local database in C# application or used as database server. - Nested data structures supported. - PowerShell interface for interactive mode and scripting. - Available as cloud database on ENGITEX own cloud as well as for local deployment. See project Wiki for more.

This project consists out of a windows based designer application and a library (that can run on multiple platforms, including android) together with several demo applications (including an MVC3 chatbot client and an android application). It is probably best compared to a database management system, but for neural networks instead of relational data. As such, the library is optimized for handling any type of data-size by using advanced streaming and caching algorithms. With the designer, you are able to create different types of decision trees, random forests, n-grams, pattern-matchers, conversational agents and all sorts of AI related algorithms. You can combine statistical approaches as well as pattern matchers or others. Do natural language processing, image or data analysis & interpretation,...

The SQL Embedded Manager, is a Windows Forms light-weight implementation of the Microsoft SQL Server Management Studio, focused to supporting only all the embedded databases engines (for example, Sql Server Compact Edition, SQLite and Firebird).