UnQLite is a in-process software library which implements a self-contained, serverless, zero-configuration, transactional NoSQL database engine. UnQLite is a document store database similar to MongoDB, Redis, CouchDB etc. as well a standard Key/Value store similar to BerkeleyDB, LevelDB, etc.

UnQLite is an embedded NoSQL (Key/Value store and Document-store) database engine. Unlike most other NoSQL databases, UnQLite does not have a separate server process. UnQLite reads and writes directly to ordinary disk files. A complete database with multiple collections, is contained in a single disk file. The database file format is cross-platform, you can freely copy a database between 32-bit and 64-bit systems or between big-endian and little-endian architectures. UnQLite features includes:

• Serverless, NoSQL database engine.
• Transactional (ACID) database.
• Zero configuration.
• Single database file, does not use temporary files.
• Cross-platform file format.
• UnQLite is a Self-Contained C library without dependency.
• Standard Key/Value store.
• Document store (JSON) database via Jx9.
• Support cursors for linear records traversal.
• Pluggable run-time interchangeable storage engine.
• Support for on-disk as well in-memory databases.
• Built with a powerful disk storage engine which support O(1) lookup.
• Thread safe and full reentrant.
• Simple, Clean and easy to use API.
• Support Terabyte sized databases.
• BSD licensed product.
• Amalgamation: All C source code for UnQLite and Jx9 are combined into a single source file.
• Highly available online support.

Column-store features
When your database grows into millions of records spread over lots of tables and used in business or science data warehouse applications, you really want a column-store database management system.

MonetDB innovates at all layers of a DBMS, e.g. a storage model based on vertical fragmentation, a modern CPU-tuned query execution architecture, automatic and self-tuning indexes, run-time query optimization, and a modular software architecture.

An easy-to-use secure configuration generator for web, database, and mail software

JavaScript SQL database for browser and Node.js.
Handles both traditional relational tables and nested JSON data (NoSQL).
Export, store, and import data from localStorage, IndexedDB, or Excel.

ConnectionStrings.com helps developers connect software to data. It's a straight to the point reference about connection strings, a knowledge base of articles and database connectivity content and a host of Q & A forums where developers help each other in finding solutions. »

SQL::Translator is a group of Perl modules that manipulate structured data definitions (mostly database schemas) in interesting ways, such as converting among different dialects of CREATE syntax (e.g., MySQL-to-Oracle), visualizations of schemas (pseudo-ER diagrams: GraphViz or GD), automatic code generation (using Class::DBI), converting non-RDBMS files to SQL schemas (xSV text files, Excel spreadsheets), serializing parsed schemas (via Storable, YAML and XML), creating documentation (HTML and POD), and more. New to version 0.03 is the ability to talk directly to a database through DBI to query for the structures of several databases.

Through the separation of the code into parsers and producers with an object model in between, it's possible to combine any parser with any producer, to plug in custom parsers or producers, or to manipulate the parsed data via the built-in object model. Presently only the definition parts of SQL are handled (CREATE, ALTER), not the manipulation of data (INSERT, UPDATE, DELETE).

Infer a probabilistic schema for a MongoDB collection.
Usage

mongodb-schema can be used as a command line tool or programmatically in your application as a node module.

mongodb-schema mongodb://localhost:27017 db.collection

$ mongodump -d some_database -c some_collection
$ mongorestore -d some_other_db -c some_or_other_collection dump/some_collection.bson