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DBMS > Atos Standard Common Repository vs. KairosDB vs. Riak TS vs. Rockset vs. Splice Machine

System Properties Comparison Atos Standard Common Repository vs. KairosDB vs. Riak TS vs. Rockset vs. Splice Machine

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonKairosDB  Xexclude from comparisonRiak TS  Xexclude from comparisonRockset  Xexclude from comparisonSplice Machine  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 networksDistributed Time Series DBMS based on Cassandra or H2Riak TS is a distributed NoSQL database optimized for time series data and based on Riak KVA 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 Spark
Primary database modelDocument store
Key-value store
Time Series DBMSTime Series DBMSDocument storeRelational DBMS
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.62
Rank#239  Overall
#20  Time Series DBMS
Score0.20
Rank#319  Overall
#27  Time Series DBMS
Score0.79
Rank#211  Overall
#35  Document stores
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorygithub.com/­kairosdb/­kairosdbrockset.comsplicemachine.com
Technical documentationkairosdb.github.iowww.tiot.jp/­riak-docs/­riak/­ts/­latestdocs.rockset.comsplicemachine.com/­how-it-works
DeveloperAtos Convergence CreatorsOpen Source, formerly Basho TechnologiesRocksetSplice Machine
Initial release20162013201520192014
Current release17031.2.2, November 20183.0.0, September 20223.1, March 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open SourcecommercialOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaErlangC++Java
Server operating systemsLinuxLinux
OS X
Windows
Linux
OS X
hostedLinux
OS X
Solaris
Windows
Data schemeSchema and schema-less with LDAP viewsschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateoptionalyesnodynamic typingyes
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 infoingestion from XML files supported
Secondary indexesyesnorestrictedall fields are automatically indexedyes
SQL infoSupport of SQLnonoyes, limitedRead-only SQL queries, including JOINsyes
APIs and other access methodsLDAPGraphite protocol
HTTP REST
Telnet API
HTTP API
Native Erlang Interface
HTTP RESTJDBC
Native Spark Datasource
ODBC
Supported programming languagesAll languages with LDAP bindingsJava
JavaScript infoNode.js
PHP
Python
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Go
Java
JavaScript (Node.js)
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnonoErlangnoyes infoJava
Triggersyesnoyes infopre-commit hooks and post-commit hooksnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionSharding infobased on CassandraShardingAutomatic shardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infobased on Cassandraselectable replication factoryesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono infolinks between datasets can be storednoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
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.yesnoyes
User concepts infoAccess controlLDAP bind authenticationsimple password-based access controlnoAccess rights for users and organizations can be defined via Rockset consoleAccess rights for users, groups and roles according to SQL-standard

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More resources
Atos Standard Common RepositoryKairosDBRiak TSRocksetSplice Machine
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