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db4o (database for objects) is the open source object database for Mono.
Free software, available under the GPL and under a commercial license.
Ideal for embedded use, e.g., in software running on mobile or medical devices, in packaged software, and for real-time systems.
Key Features:
- The One-Line-of-Code-Database (One line of code stores any object; Class model = object schema; Smooth production process)
- Embeddable (Zero administration; Automatic schema versioning; 400 KB footprint)
- Multiple platform support (Native to Java and .NET; Mobile, PCs and servers; Runs cross-platform)
- Brings more OO to the database (Object-oriented replication; Object-oriented, native queries; ObjectManager browser)
Key Benefits:
- Slashes 90% of cost to develop persistence
- 10% faster to market with your application
- Runs up to 44x faster than conventional systems
- Deployable in large volumes without local administration
- Build lean and truly object-oriented software
- Build distributed, fully synchronized data architectures
- Fewer errors, better refactorability and software longevity
Download db4o for Mono (390.6 KB) |
Released by db4objects, Inc.
Last updated: 1969-12-31
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db4o (database for objects) is the open source object database. Features include native Java and .NET object persistence, object-oriented replication, automatic schema recognition, 400K footprint. Ideal for embedded use and in realtime systems.
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db4o (database for objects) is the open source object database. Features include native Java object persistence, object-oriented replication, automatic schema recognition, 400K footprint. Ideal for embedded use and in realtime systems.
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db4o (database for objects) is the open source object database for Mono. Features include native object persistence, object-oriented replication, automatic schema recognition. Ideal for embedded use and in realtime systems.
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db4o (database for objects) is the open source object database. Features include native .NET object persistence, object-oriented replication, automatic schema recognition, 400K footprint. Ideal for embedded use and in realtime systems.
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