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DBMS > Atos Standard Common Repository vs. CrateDB vs. eXtremeDB

System Properties Comparison Atos Standard Common Repository vs. CrateDB vs. eXtremeDB

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonCrateDB  Xexclude from comparisoneXtremeDB  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 Date Store based on LuceneNatively in-memory DBMS with options for persistency, high-availability and clustering
Primary database modelDocument store
Key-value store
Relational DBMS
Search engine
Relational DBMS
Time Series DBMS
Secondary database modelsDocument store
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.83
Rank#198  Overall
#97  Relational DBMS
#12  Search engines
Score0.72
Rank#208  Overall
#103  Relational DBMS
#13  Time Series DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorycrate.iowww.mcobject.com/­extremedbfamily
Technical documentationcrate.io/­docswww.mcobject.com/­docs/­extremedb.htm
DeveloperAtos Convergence CreatorsCrateMcObject
Initial release201620132001
Current release17038.2, November 2020
License infoCommercial or Open SourcecommercialOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC and C++
Server operating systemsLinuxAll OS with a Java 7 (and higher) VMAIX
HP-UX
Linux
macOS
Solaris
Windows
Data schemeSchema and schema-less with LDAP viewsFlexible Schema (defined schema, partial schema, schema free)yes
Typing infopredefined data types such as float or dateoptionalyesyes
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 infosupport of XML interfaces available
Secondary indexesyesyesyes
SQL infoSupport of SQLnoyes, but no triggers and constraintsyes infowith the option: eXtremeSQL
APIs and other access methodsLDAPADO.NET infocommunity maintained client
JDBC
MQTT (Message Queue Telemetry Transport)
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
Supported programming languagesAll languages with LDAP bindingsErlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
Ruby infocommunity maintained client
Scala infocommunity maintained client
.Net
C
C#
C++
Java
Lua
Python
Scala
Server-side scripts infoStored proceduresnouser defined functionsyes
Triggersyesnoyes infoby defining events
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardinghorizontal partitioning / sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factorActive Replication Fabricâ„¢ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Read Your Own Writes Consistency infofor primary key lookups
Immediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsno infounique row identifiers can be used for implementing an optimistic concurrency control strategyACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoOptimistic (MVCC) and pessimistic (locking) strategies available
Durability infoSupport for making data persistentyesyesyes
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 authenticationrights management via user accounts
More information provided by the system vendor
Atos Standard Common RepositoryCrateDBeXtremeDB
Specific characteristicsCrateDB is an open source distributed SQL database that spreads data and processing...
» more
eXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
» more
Competitive advantagesCrateDB is typically used in operational analytics applications, particularly those...
» more
eXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
» more
Typical application scenariosCrateDB is ideal for integrating and analyzing streams of data--often machine-generated--in...
» more
IoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
Key customersCrateDB customers include McAfee, Qualtrics , Nokia, NBC Golfnow , Digital Domain...
» more
Schneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsThe CrateDB open source project was started in 2014. CrateDB was the winner of TechCrunch...
» more
With hundreds of customers and over 28 million devices/applications using the product...
» more
Licensing and pricing modelsCrateDB pricing CrateDB Community Edition is open source and free to use under the...
» more
For server use cases, there is a simple per-server license irrespective of the number...
» more

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More resources
Atos Standard Common RepositoryCrateDBeXtremeDB
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