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DBMS > Atos Standard Common Repository vs. Rockset vs. Splice Machine vs. Transbase vs. XTDB

System Properties Comparison Atos Standard Common Repository vs. Rockset vs. Splice Machine vs. Transbase vs. XTDB

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonRockset  Xexclude from comparisonSplice Machine  Xexclude from comparisonTransbase  Xexclude from comparisonXTDB infoformerly named Crux  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 SparkA resource-optimized, high-performance, universally applicable RDBMSA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelDocument store
Key-value store
Document storeRelational DBMSRelational DBMSDocument 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
Score0.11
Rank#341  Overall
#150  Relational DBMS
Score0.11
Rank#343  Overall
#46  Document stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositoryrockset.comsplicemachine.comwww.transaction.de/­en/­products/­transbase.htmlgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationdocs.rockset.comsplicemachine.com/­how-it-workswww.transaction.de/­en/­products/­transbase/­features.htmlwww.xtdb.com/­docs
DeveloperAtos Convergence CreatorsRocksetSplice MachineTransaction Software GmbHJuxt Ltd.
Initial release20162019201419872019
Current release17033.1, March 2021Transbase 8.3, 20221.19, September 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoAGPL 3.0, commercial license availablecommercial infofree development licenseOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++JavaC and C++Clojure
Server operating systemsLinuxhostedLinux
OS X
Solaris
Windows
FreeBSD
Linux
macOS
Solaris
Windows
All OS with a Java 8 (and higher) VM
Linux
Data schemeSchema and schema-less with LDAP viewsschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateoptionaldynamic typingyesyesyes, extensible-data-notation format
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 supportednono
Secondary indexesyesall fields are automatically indexedyesyesyes
SQL infoSupport of SQLnoRead-only SQL queries, including JOINsyesyeslimited SQL, making use of Apache Calcite
APIs and other access methodsLDAPHTTP RESTJDBC
Native Spark Datasource
ODBC
ADO.NET
JDBC
ODBC
Proprietary native API
HTTP REST
JDBC
Supported programming languagesAll languages with LDAP bindingsGo
Java
JavaScript (Node.js)
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Clojure
Java
Server-side scripts infoStored proceduresnonoyes infoJavayesno
Triggersyesnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionAutomatic shardingShared Nothhing Auto-Sharding, Columnar Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesMulti-source replication
Source-replica replication
Source-replica replicationyes, each node contains all data
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnoACIDyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
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-standardfine grained access rights according to SQL-standard

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More resources
Atos Standard Common RepositoryRocksetSplice MachineTransbaseXTDB infoformerly named Crux
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