db4o is an object database for Java and all .NET environments. Its features include ACID transactions, automatic class schema recognition, query-by-example, a S.O.D.A. object querying API, native queries, LINQ support on .NET, callback methods, memory files, cascade-on-delete, multi-threaded access, and Java Webstart and servlet support.
Kodo JDO allows you to write database calls using Java statements instead of SQL statements, by supporting the Java Data Objects standard for transparent persistence. It is the most complete implementation of the JDO specification for relational data stores, and comes with tools for producing a schema from an object model, producing class files from an existing schema, and a performance pack (distributed caching and statement batching) that improves performance by 15 - 30 times. It supports most relational databases, application servers, and IDEs, and reduces the total coding effort by 20-40%.
python-ldap provides an object-oriented API to access LDAP directory servers from Python programs. Mainly, it wraps the OpenLDAP 2.3+ libs for that purpose. Additionally, the package contains modules for other LDAP-related stuff (such as processing LDIF, LDAPURLs, and LDAPv3 schema).
Daffodil DB is a SQL-99 specification compliant, lightweight, Java-based relational database engine (RDBMS). It supports almost all constructs of SQL 99 (including triggers, views, constraints, UDT, stored procedures, etc.), supports distributed transactions (XA), provides a complete JDBC 3.0 driver (including support for optional features like save points, rowsets, UDT, XA, connection pooling, etc.), and can run in embedded or server mode. It can be included as a jar file in any Java application. Daffodil DB includes Daffodil DB Browser, a GUI-based database management tool that can be used to carry out all database operations such as creating a database, creating database objects, executing SQL statements, and manipulating data, browser database objects, etc.
Sesame is an Open Source RDF Schema-based repository and querying facility. It is a scalable, modular architecture for persistent storage and querying of RDF and RDF Schema. It supports two query languages (SPARQL and SeRQL), and can use main memory or PostgreSQL, MySQL and Oracle 9i databases for storage.
The Simple components for Ada library provides implementations of smart pointers for automatically collected objects (using reference counting), object persistence, unbounded and bounded arrays of smart pointers, generic unbounded arrays of private objects and plain pointers, generic sets, maps, directed graphs, directed weighted graphs, stacks, and storage pools. It also includes table management, string editing, IEEE 754 support, and infix expression parsing tools. Implementations of some lock-free shared data structures are provided.