Write Database Applications While Remaining in a Pure Java World

Speedment Open Source is the equivalent of Speedment Stream limited to use with Open Source databases. Like Stream, it analyzes the metadata of an existing SQL database and automatically creates a Java representation of the data model. Queries are then expressed as standard Java Streams instead of a sequences of SQL constructs.

SQL	JAVA STREAM
FROM	stream()
COUNT	count()
LIMIT	limit()
SELECT	map()
WHERE	filter() (before collecting)
HAVING	filter() (after collecting)
JOIN	flatmap()
UNION	concat(s0, s1).distinct()
ORDER BY	sorted()
OFFSET	skip()
GROUP BY	collect(groupingBY())

View Database Tables as Standard Java Streams

Pure Java - Stream API instead of SQL eliminates the need of a query language

Dynamic Joins - Ability to perform joins as Java streams on the application side

Parallel Streams - Workload can automatically be divided over several threads

Lazy Evaluation for Increased Performance

Streams are Lazy - Content from the database is pulled as elements are needed and consumed

Pipeline Introspection - Optimized performance by short circuiting of stream operations

Short and Concise Type-safe Code

Code Generation - Automatic generation of a Java representation of the database eliminates boilerplate code and the need of manually writing Java Entity classes

Null Protection - The risk involved with database null values is eliminated by use of Java Optionals

Enum Integration - Mapping of String columns to Java Enums increases memory efficiency and type-safety

Integrate with an Open Source RDBMS

Speedment Open Source currently supports SQLite, MariaDB, PostgreSQL and MySQL.

Related Resources

White Paper

Speedment HyperStream

This white paper addresses the performance challenges for existing slow databases and presents a more modern solution – HyperStream, a Stream ORM Java Toolkit and Runtime with extreme capabilities using an in-JVM-memory data storage.

Read Paper

Article

Database Actions Using Java 8 Stream Syntax Instead of SQL

Why should you need to use SQL when the same semantics can be derived directly from Java 8 streams? This article shows how the resemblance between streams and SQL commands can be used to gain ultra-fast access to data.

Read Article

Webinar

Building Super Fast Data-Driven Apps with Speedment and Vaadin

Building highly scalable and fast applications quickly sound like an oxymoron. And if we throw in the possibility of doing it for your current database and application, it sounds even more like a daydream. But combining two technology stacks that share the goal of great UX through awesome DX we can achieve the impossible.

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Contribute to Speedment OSS

The Speedment Open Source project is available under the Apache 2.0 License. We gladly welcome, and encourage contributions from the community. If you have something to add, need to file an issue or simply want to browse the source code, pay the project a visit on GitHub.

View on GitHub