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DBMS > Atos Standard Common Repository vs. Rockset vs. Splice Machine vs. STSdb vs. TerarkDB

System Properties Comparison Atos Standard Common Repository vs. Rockset vs. Splice Machine vs. STSdb vs. TerarkDB

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonRockset  Xexclude from comparisonSplice Machine  Xexclude from comparisonSTSdb  Xexclude from comparisonTerarkDB  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 networksA scalable, reliable search and analytics service in the cloud, built on RocksDBOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelDocument store
Key-value store
Document storeRelational DBMSKey-value storeKey-value store
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.79
Rank#211  Overall
#35  Document stores
Score0.54
Rank#250  Overall
#114  Relational DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Score0.00
Rank#383  Overall
#60  Key-value stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositoryrockset.comsplicemachine.comgithub.com/­STSSoft/­STSdb4github.com/­bytedance/­terarkdb
Technical documentationdocs.rockset.comsplicemachine.com/­how-it-worksbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperAtos Convergence CreatorsRocksetSplice MachineSTS Soft SCByteDance, originally Terark
Initial release20162019201420112016
Current release17033.1, March 20214.0.8, September 2015
License infoCommercial or Open SourcecommercialcommercialOpen Source infoAGPL 3.0, commercial license availableOpen Source infoGPLv2, commercial license availablecommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++JavaC#C++
Server operating systemsLinuxhostedLinux
OS X
Solaris
Windows
Windows
Data schemeSchema and schema-less with LDAP viewsschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateoptionaldynamic typingyesyes infoprimitive types and user defined types (classes)no
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.yesno infoingestion from XML files supportedno
Secondary indexesyesall fields are automatically indexedyesnono
SQL infoSupport of SQLnoRead-only SQL queries, including JOINsyesnono
APIs and other access methodsLDAPHTTP RESTJDBC
Native Spark Datasource
ODBC
.NET Client APIC++ API
Java API
Supported programming languagesAll languages with LDAP bindingsGo
Java
JavaScript (Node.js)
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C#
Java
C++
Java
Server-side scripts infoStored proceduresnonoyes infoJavanono
Triggersyesnoyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionAutomatic shardingShared Nothhing Auto-Sharding, Columnar Partitioningnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesMulti-source replication
Source-replica replication
nonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoYes, via Full Spark Integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlLDAP bind authenticationAccess rights for users and organizations can be defined via Rockset consoleAccess rights for users, groups and roles according to SQL-standardnono

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More resources
Atos Standard Common RepositoryRocksetSplice MachineSTSdbTerarkDB
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