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DBMS > Atos Standard Common Repository vs. BigchainDB vs. Oracle Berkeley DB vs. SAP IQ vs. Splunk

System Properties Comparison Atos Standard Common Repository vs. BigchainDB vs. Oracle Berkeley DB vs. SAP IQ vs. Splunk

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonBigchainDB  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonSAP IQ infoformer name: Sybase IQ  Xexclude from comparisonSplunk  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsWidely used in-process key-value storeColumnar RDBMS optimized for Big Data analyticsAnalytics Platform for Big Data
Primary database modelDocument store
Key-value store
Document storeKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Relational DBMS infocolumn-orientedSearch engine
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
Score2.64
Rank#108  Overall
#52  Relational DBMS
Score89.10
Rank#14  Overall
#2  Search engines
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.bigchaindb.comwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlwww.sap.com/­products/­technology-platform/­sybase-iq-big-data-management.htmlwww.splunk.com
Technical documentationbigchaindb.readthedocs.io/­en/­latestdocs.oracle.com/­cd/­E17076_05/­html/­index.htmlhelp.sap.com/­docs/­SAP_IQdocs.splunk.com/­Documentation/­Splunk
DeveloperAtos Convergence CreatorsOracle infooriginally developed by Sleepycat, which was acquired by OracleSAP, formerly SybaseSplunk Inc.
Initial release20162016199419942003
Current release170318.1.40, May 202016.1 SPS04, April 2019
License infoCommercial or Open SourcecommercialOpen Source infoAGPL v3Open Source infocommercial license availablecommercialcommercial infoLimited free edition and free developer edition available
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 languageJavaPythonC, Java, C++ (depending on the Berkeley DB edition)
Server operating systemsLinuxLinuxAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
AIX
HP-UX
Linux
Solaris
Windows
Linux
OS X
Solaris
Windows
Data schemeSchema and schema-less with LDAP viewsschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateoptionalnonoyesyes
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.yesnoyes infoonly with the Berkeley DB XML editionnoyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnonoyes infoSQL interfaced based on SQLite is availableyesno infoSplunk Search Processing Language for search commands
APIs and other access methodsLDAPCLI Client
RESTful HTTP API
ADO.NET
JDBC
ODBC
RESTful HTTP API
HTTP REST
Supported programming languagesAll languages with LDAP bindingsGo
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
C
C#
C++
Java
Perl
PHP
Python
Ruby
C#
Java
JavaScript
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonoyesyes
Triggersyesyes infoonly for the SQL APIyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingnoneshared disk or shared nothing architectures with SAP IQ MultiplexerSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factorSource-replica replicationSAP/Sybase Replication ServerMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoHadoop integrationyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDACIDno infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searching
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnono
User concepts infoAccess controlLDAP bind authenticationyesnofine grained access rights according to SQL-standardAccess rights for users and roles

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More resources
Atos Standard Common RepositoryBigchainDBOracle Berkeley DBSAP IQ infoformer name: Sybase IQSplunk
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