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DBMS > Atos Standard Common Repository vs. BigchainDB vs. Hive vs. Ingres vs. TimesTen

System Properties Comparison Atos Standard Common Repository vs. BigchainDB vs. Hive vs. Ingres vs. TimesTen

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonBigchainDB  Xexclude from comparisonHive  Xexclude from comparisonIngres  Xexclude from comparisonTimesTen  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 assetsdata warehouse software for querying and managing large distributed datasets, built on HadoopWell established RDBMSIn-Memory RDBMS compatible to Oracle
Primary database modelDocument store
Key-value store
Document storeRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.79
Rank#212  Overall
#36  Document stores
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score4.11
Rank#81  Overall
#44  Relational DBMS
Score1.31
Rank#163  Overall
#74  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.bigchaindb.comhive.apache.orgwww.actian.com/­databases/­ingreswww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationbigchaindb.readthedocs.io/­en/­latestcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.actian.com/­ingresdocs.oracle.com/­database/­timesten-18.1
DeveloperAtos Convergence CreatorsApache Software Foundation infoinitially developed by FacebookActian CorporationOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release2016201620121974 infooriginally developed at University Berkely in early 1970s1998
Current release17033.1.3, April 202211.2, May 202211 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourcecommercialOpen Source infoAGPL v3Open Source infoApache Version 2commercialcommercial
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 languageJavaPythonJavaC
Server operating systemsLinuxLinuxAll OS with a Java VMAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeSchema and schema-less with LDAP viewsschema-freeyesyesyes
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.yesnono infobut tools for importing/exporting data from/to XML-files availableno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnonoSQL-like DML and DDL statementsyesyes
APIs and other access methodsLDAPCLI Client
RESTful HTTP API
JDBC
ODBC
Thrift
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesAll languages with LDAP bindingsGo
Haskell
Java
JavaScript
Python
Ruby
C++
Java
PHP
Python
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceyesPL/SQL
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslynone
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factorselectable replication factorIngres ReplicatorMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMVCCyes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByesyesyes 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.yesnoyes
User concepts infoAccess controlLDAP bind authenticationyesAccess rights for users, groups and rolesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Atos Standard Common RepositoryBigchainDBHiveIngresTimesTen
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