Top 9 Object Databases
For many years, businesses in various sectors have been using relational database systems to effectively represent their data and information. A typical relational database stores data in a collection of tables with rows and columns. As interest in the utilization of better database systems increased, many organizations have started to use a wide range of new applications in various fields including engineering design, telecommunications, and geographic systems.
Moreover, organizations have been dealing with huge amounts of complex data and that’s why it’s extremely important to invest in applications that can handle this kind of data. It is difficult to represent complex data in an ordinary relational database because of the database’s restricted attributes.
Object databases emerged to solve this problem and other problems associated with the relational database model and other database models. Object databases are known for their high performance and the ability to handle complex data effectively.
What are the Top Object Databases: ObjectDatabase++, ObjectStore, GemStone/S, Perst, ZODB, Wakanda, ObjectDB, ODABA, Objectivity/DB are some of the Top Object Databases.
What are Object Databases?
An object database is a database management system in which information is represented in the form of objects as used in object-oriented programming.
Object databases are different from relational databases which are table-oriented. Object database combine database capabilities with object-oriented programming language capabilities. Object databases based on persistent programming acquired a niche in application areas such as engineering and spatial databases, telecommunications, and scientific areas such as high energy physics, molecular biology, embedded use in devices, packaged software, and real-time systems.
Most object databases also offer some kind of query language, allowing objects to be found using a declarative programming approach.
An object database refers to a database system that represents data or information in the form of objects. The objects used to represent information are essentially the same objects used in object-oriented programming. Unlike relational databases, object databases do not use tables to represent information. They are basically a combination of the capabilities of object-oriented programming and databases.
This means object databases use object-oriented languages and have the key features of a database system such as storage, querying, and transactions. The object-oriented concepts of a typical object database include complex objects, object identity, classes, class hierarchies, encapsulation, overriding, late binding, and overloading.
One of the key objectives of an object database is to provide support for the persistence of objects in addition to supporting most of the features of a database system. That’s why object databases are often used to handle complex data in scientific fields, engineering, telecommunications, and real-time systems.
There are different types of object database products to suit the needs of your organization, company, or business. Each product has its own features, but almost all object databases have the following features.
- Query Language: Most object databases use a query language. This language uses declarative programming techniques to find objects or retrieve data from the database.
- Transparent Persistence: This is a very important feature of object databases. It refers to the database’s ability to use an object programming language to manipulate data.
- ACID Transactions: Every effective database system can perform transactions. Object databases can perform ACID (Atomicity, Consistency, Isolation, Durability) transitions. This means all transactions are complete and there are no conflicting changes. Moreover, users can abort transactions in case of an error.
- Database Caching: Object database systems have a caching mechanism that creates a partial replica of the database. Caching is a data retention method that makes it possible to minimize disk access or network traffic flow. It allows applications to access objects from program memory instead of disks.
- Recovery: Object databases include a feature that allows users to recover information in case of a system or application failure.
Some of the benefits include:
- Object databases handle complex data.
- Transparent persistence means higher performance.
- Object databases are reliable because they support ACID transactions.
- Less code and more efficient coding.
- Quick data access.
Top Object Databases
ObjectDatabase++ is an embedded database library that has been designed in the new millennium for the wireless server applications of the new millennium. ObjectDatabase++ is leading the wave in Object Orientated Database Management Systems (ODBMS). ObjectDatabase++ has a number of inbuilt index designs that provide quicker access to greater variety of date types, from the basic B+Tree spatial and full text searches, and now including more complex biometric pattern matching. ObjectDatabase++ is designed for multiple flavors of C++, as well as VB.NET and C# programmers who like having more control over their database queries than can be accomplished with the…
• GUI Editor allows developers to easily maintain the table schema definitions as well as data
• TScript Query Language
• Real-time file recovery
• Spatial pattern indexes: Designed to accommodate modern day needs for biometric pattern matching
• Unbounded Variable Length Indexes
• 64 bit Object Identifiers: Allow developers of large-scale database applications to future proof their schema designs
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Ignite’s ObjectStor is an object-oriented database management system for applications that demand reliable, transactional, object persistence and real-time data caching. It is the leading in-memory database for applications that demand high-performance, extreme scalability and real time responsiveness. Ignite’s ObjectStore automates the exchange of data seamlessly between incompatible systems. Organizations around the world rely on it for data integration initiatives ranging from data migrations and synchronization to data services. And there’s no need to wait around – the decentralized architecture processes in a fraction of the time it takes for similarly sized transformations. Cache Forward Architecture maintains data in-memory across all…
• Full readable stack trace on occurrence of a fatal error
• Automatic index management ensures that indexes on Java collections are always in sync
• Embedded installer makes it easier for end-users and distributors to install client applications
• Enterprise monitoring API that allows user to collect, store and analyze internal counters of Ignite’s ObjectStore
• Flexible Programming Model: No conversion to and from relational data models
• High performance data processing, analytics, and ACID transactions
GemStone/S is the state-of-the-art platform for developing, deploying, and managing scalable, high-performance, multi-tier applications based on business objects. GemStone/S provides the flexible distribution of processing, security, and robustness your enterprise needs for a business-critical, run-time environment. GemStone/S supports high-availability online environments that demand 24×7 operation. GemStone/S is based on Smalltalk — a mature, industry-standard language. GemStone/S uses the same object model as Smalltalk, enabling seamless integration with existing Smalltalk applications. GemStone/S provides the unmatched flexibility and power demanded by business-critical applications. GemStone/S lets users model information in structures as simple as the data permits, and no more complex than the…
• Optimized searches using B-tree Indexes
• Built-in database transactions
• Bugnotes describe bugs and unexpected behavior
• Integrated tODE development environment
• Highly configurable automatic back-end management to allow tuning for particular application requirements
• Full set of administrative tools for monitoring, backup, setting up standby systems, and other tasks
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Perst is McObject's open source, dual license, object-oriented embedded database system (ODBMS). It is available in one edition developed as an all-Java embedded database, and another implemented in C# (for Microsoft .NET Framework applications). Perst gives developers the ability to sort, store and retrieve objects in their applications with maximum speed and with low memory and storage overhead, while leveraging the object-oriented paradigm of Java and C#. With free, available source code, nothing in Perst is hidden, and the developer gains complete control of the application and its interaction with the database. The Perst API is flexible and easy-to-use. The…
• Wrapper that provides a SQL-like database interface
• Custom full text search components (stemmer, parser, ...)
• R-tree indexes for spatial data representation
• Abstract file interface to provide specific file implementations
• Native queries and LINQ (search predicate specified in native code)
• Fine grain (object-level) locking
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The ZODB is a persistence system for Python objects. It is included as part of the Zope web application server, but can also be used independently of Zope. ZODB has a pluggable storage framework. This means there are a variety of storage implementations to meet different needs, from in-memory databases, to databases stored in local files, to databases on remote database servers, and specialized databases for compression, encryption, and so on. ZODB manages moving objects in and out of memory for you. The unit of storage is the persistent object. When users access attributes of a persistent object, they are…
• ACID transactions with snapshot isolation
• Database caching with invalidation
• Garbage collection: Removal of unused objects is automatic
• Distributed transaction support using two-phase commit
• Blob implementation that stores blobs in S3 and caches them on disk
• Demo Storage - An in-memory back end for the persistent store
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• Data Model: A complete set of all Data Classes for a single Wakanda project
• DataClass Table: Composed of various data structures, class attributes, methods, and events
• Built-in automatic session management
• Frameworks CLI integration
• Data Abstraction Layer: Provides events associated to data manipulation
• Code edition and completion: Completion for JS/TS/HTML/CSS.. and data model aware code completion for JS/TS backend files
• Dev - $29 / month
• Production - $99 / server / month
ObjectDB is a powerful Object-Oriented Database Management System (ODBMS). It is compact, reliable, easy to use and extremely fast. ObjectDB provides all the standard database management services (storage and retrieval, transactions, lock management, query processing, etc.) but in a way that makes development easier and applications faster. ObjectDB provides a rich set of features. Many features are implemented as part of ObjectDB's support of the JPA and JDO APIs. Fundamental features of relational databases (e.g. primary keys, derived attributes, grouping queries and aggregate queries) which are usually missing from Object Oriented Databases are also supported by ObjectDB. The combination of…
• 100% pure Java Object-Oriented Database Management System (ODBMS)
• Single JAR with no external dependencies
• Advanced querying and indexing capabilities
• Automatic diagnosis and repair of corrupted database files
• Always Object Level locking
• Table view for browsing the content of entity objects
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The theoretical base for ODABA is Unified Database Theory, which defines abstract database model levels for different types of databases. ODABA combines the flexibility of key/value stores (P0) with the simplicity of relational databases (P1), the complexity of object-oriented databases (P2) and analytical features of data warehouse technologies (P3). Relational databases (entity-relationship models) are considered to be P1 database models, which store data in well-structured instances that are collected in tables. P1requirements are also fulfilled by object-oriented databases, which may store data in well-structured object instances collected in extents. This way, ODABA also supports P1requirements. Besides an instance schema, P2…
• Object-relation mapper (ORM) allows running ODABA applications based on relational databases
• Database Object Browser
• Transient properties may be defined as simple attributes, but may also refer to complex data type or collections
• OSI Scripting Language
• Multilingual attributes
• Terminology/Documentation Tool
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Objectivity/DB is a scalable, high performance, distributed Object Database (ODBMS). It is extremely good at handling complex data, where there are many types of connections between objects and many variants. Objectivity/DB enables customers to maximize existing infrastructure to capture information needed to address evolving, complex, analytic requirements within Big Data. Objectivity/DB runs on 32 or 64-bit processors running Linux, Mac OS X, UNIX (Oracle Solaris) or Windows. There are C++, C#, Java and Python APIs. Objectivity/DB generally runs on POSIX file systems, but there are plug-ins that can be modified for other storage infrastructure. Objectivity/DB client programs can be configured…
• Graphical tool - Objectivity/Assist helps users develop databases and database applications, and browse and query the data
• Parallel I/O and Locking for Multiple Client Processes
• Application-side caching of objects improves performance
• Multiple, Distributed I/O Servers
• Parallel Query Engine enables you to perform fast queries over very large numbers of objects in a very large database (VLDB)
• Online incremental backup and restore, online object relocation, recovery tools, and database compaction