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DBMS > Atos Standard Common Repository vs. BigchainDB vs. FatDB vs. SAP IQ vs. Spark SQL

System Properties Comparison Atos Standard Common Repository vs. BigchainDB vs. FatDB vs. SAP IQ vs. Spark SQL

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonBigchainDB  Xexclude from comparisonFatDB  Xexclude from comparisonSAP IQ infoformer name: Sybase IQ  Xexclude from comparisonSpark SQL  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the 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 assetsA .NET NoSQL DBMS that can integrate with and extend SQL Server.Columnar RDBMS optimized for Big Data analyticsSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelDocument store
Key-value store
Document storeDocument store
Key-value store
Relational DBMS infocolumn-orientedRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.79
Rank#212  Overall
#36  Document stores
Score2.75
Rank#104  Overall
#53  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.bigchaindb.comwww.sap.com/­products/­technology-platform/­sybase-iq-big-data-management.htmlspark.apache.org/­sql
Technical documentationbigchaindb.readthedocs.io/­en/­latesthelp.sap.com/­docs/­SAP_IQspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperAtos Convergence CreatorsFatCloudSAP, formerly SybaseApache Software Foundation
Initial release20162016201219942014
Current release170316.1 SPS04, April 20193.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialOpen Source infoAGPL v3commercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaPythonC#Scala
Server operating systemsLinuxLinuxWindowsAIX
HP-UX
Linux
Solaris
Windows
Linux
OS X
Windows
Data schemeSchema and schema-less with LDAP viewsschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateoptionalnoyesyesyes
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.yesnonono
Secondary indexesyesyesyesno
SQL infoSupport of SQLnonono infoVia inetgration in SQL ServeryesSQL-like DML and DDL statements
APIs and other access methodsLDAPCLI Client
RESTful HTTP API
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
ADO.NET
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Supported programming languagesAll languages with LDAP bindingsGo
Haskell
Java
JavaScript
Python
Ruby
C#C
C#
C++
Java
Perl
PHP
Python
Ruby
Java
Python
R
Scala
Server-side scripts infoStored proceduresnoyes infovia applicationsyesno
Triggersyesyes infovia applicationsyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingShardingshared disk or shared nothing architectures with SAP IQ Multiplexeryes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factorselectable replication factorSAP/Sybase Replication Servernone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesHadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesnono
User concepts infoAccess controlLDAP bind authenticationyesno infoCan implement custom security layer via applicationsfine grained access rights according to SQL-standardno

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More resources
Atos Standard Common RepositoryBigchainDBFatDBSAP IQ infoformer name: Sybase IQSpark SQL
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