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DBMS > BigObject vs. Fujitsu Enterprise Postgres vs. Oracle Berkeley DB vs. Transbase

System Properties Comparison BigObject vs. Fujitsu Enterprise Postgres vs. Oracle Berkeley DB vs. Transbase

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.Widely used in-process key-value storeA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedRelational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score0.37
Rank#278  Overall
#128  Relational DBMS
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Score0.17
Rank#334  Overall
#148  Relational DBMS
Websitebigobject.iowww.postgresql.fastware.comwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlwww.transaction.de/­en/­products/­transbase.html
Technical documentationdocs.bigobject.iowww.postgresql.fastware.com/­product-manualsdocs.oracle.com/­cd/­E17076_05/­html/­index.htmlwww.transaction.de/­en/­products/­transbase/­features.html
DeveloperBigObject, Inc.PostgreSQL Global Development Group, Fujitsu Australia Software TechnologyOracle infooriginally developed by Sleepycat, which was acquired by OracleTransaction Software GmbH
Initial release201519941987
Current releaseFujitsu Enterprise Postgres 14, January 202218.1.40, May 2020Transbase 8.3, 2022
License infoCommercial or Open Sourcecommercial infofree community edition availablecommercialOpen Source infocommercial license availablecommercial infofree development license
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC, Java, C++ (depending on the Berkeley DB edition)C and C++
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
Linux
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
FreeBSD
Linux
macOS
Solaris
Windows
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.noyes infoonly with the Berkeley DB XML editionno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesyes infoSQL interfaced based on SQLite is availableyes
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresLuauser defined functionsnoyes
Triggersnoyesyes infoonly for the SQL APIyes
Partitioning methods infoMethods for storing different data on different nodesnonepartitioning by range, list and by hashnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDyes
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlnofine grained access rights according to SQL-standardnofine grained access rights according to SQL-standard

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More resources
BigObjectFujitsu Enterprise PostgresOracle Berkeley DBTransbase
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