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DBMS > BigchainDB vs. Oracle Berkeley DB vs. OrigoDB vs. Sphinx vs. TimesTen

System Properties Comparison BigchainDB vs. Oracle Berkeley DB vs. OrigoDB vs. Sphinx vs. TimesTen

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonOrigoDB  Xexclude from comparisonSphinx  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsWidely used in-process key-value storeA fully ACID in-memory object graph databaseOpen source search engine for searching in data from different sources, e.g. relational databasesIn-Memory RDBMS compatible to Oracle
Primary database modelDocument storeKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Document store
Object oriented DBMS
Search engineRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.85
Rank#208  Overall
#35  Document stores
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Score1.36
Rank#161  Overall
#75  Relational DBMS
Websitewww.bigchaindb.comwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlorigodb.comsphinxsearch.comwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationbigchaindb.readthedocs.io/­en/­latestdocs.oracle.com/­cd/­E17076_05/­html/­index.htmlorigodb.com/­docssphinxsearch.com/­docsdocs.oracle.com/­database/­timesten-18.1
DeveloperOracle infooriginally developed by Sleepycat, which was acquired by OracleRobert Friberg et alSphinx Technologies Inc.Oracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release201619942009 infounder the name LiveDB20011998
Current release18.1.40, May 20203.5.1, February 202311 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourceOpen Source infoAGPL v3Open Source infocommercial license availableOpen SourceOpen Source infoGPL version 2, commercial licence availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonC, Java, C++ (depending on the Berkeley DB edition)C#C++
Server operating systemsLinuxAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or datenonoUser defined using .NET types and collectionsnoyes
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 infocan be achieved using .NETno
Secondary indexesyesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLnoyes infoSQL interfaced based on SQLite is availablenoSQL-like query language (SphinxQL)yes
APIs and other access methodsCLI Client
RESTful HTTP API
.NET Client API
HTTP API
LINQ
Proprietary protocolJDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
.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
.NetC++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresnoyesnoPL/SQL
Triggersyes infoonly for the SQL APIyes infoDomain Eventsnono
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioning infoclient side managed; servers are not synchronizedSharding infoPartitioning is done manually, search queries against distributed index is supportednone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationSource-replica replicationnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonodepending on modelnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyes infoWrite ahead logyes infoThe original contents of fields are not stored in the Sphinx index.yes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlyesnoRole based authorizationnofine grained access rights according to SQL-standard

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More resources
BigchainDBOracle Berkeley DBOrigoDBSphinxTimesTen
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