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DBMS > Atos Standard Common Repository vs. eXtremeDB vs. Heroic vs. Postgres-XL vs. SwayDB

System Properties Comparison Atos Standard Common Repository vs. eXtremeDB vs. Heroic vs. Postgres-XL vs. SwayDB

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisoneXtremeDB  Xexclude from comparisonHeroic  Xexclude from comparisonPostgres-XL  Xexclude from comparisonSwayDB  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 networksNatively in-memory DBMS with options for persistency, high-availability and clusteringTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelDocument store
Key-value store
Relational DBMS
Time Series DBMS
Time Series DBMSRelational DBMSKey-value store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.80
Rank#214  Overall
#99  Relational DBMS
#18  Time Series DBMS
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score0.53
Rank#254  Overall
#117  Relational DBMS
Score0.04
Rank#387  Overall
#61  Key-value stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.mcobject.comgithub.com/­spotify/­heroicwww.postgres-xl.orgswaydb.simer.au
Technical documentationwww.mcobject.com/­docs/­extremedb.htmspotify.github.io/­heroicwww.postgres-xl.org/­documentation
DeveloperAtos Convergence CreatorsMcObjectSpotifySimer Plaha
Initial release2016200120142014 infosince 2012, originally named StormDB2018
Current release17038.2, 202110 R1, October 2018
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source infoMozilla public licenseOpen Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++JavaCScala
Server operating systemsLinuxAIX
HP-UX
Linux
macOS
Solaris
Windows
Linux
macOS
Data schemeSchema and schema-less with LDAP viewsyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateoptionalyesyesyesno
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 infosupport of XML interfaces availablenoyes infoXML type, but no XML query functionalityno
Secondary indexesyesyesyes infovia Elasticsearchyesno
SQL infoSupport of SQLnoyes infowith the option: eXtremeSQLnoyes infodistributed, parallel query executionno
APIs and other access methodsLDAP.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
HQL (Heroic Query Language, a JSON-based language)
HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesAll languages with LDAP bindings.Net
C
C#
C++
Java
Lua
Python
Scala
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Java
Kotlin
Scala
Server-side scripts infoStored proceduresnoyesnouser defined functionsno
Triggersyesyes infoby defining eventsnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionhorizontal partitioning / shardingShardinghorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesActive Replication Fabricâ„¢ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
yesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDnoACID infoMVCCAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyesyes
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.yesyesnonoyes
User concepts infoAccess controlLDAP bind authenticationfine grained access rights according to SQL-standardno
More information provided by the system vendor
Atos Standard Common RepositoryeXtremeDBHeroicPostgres-XLSwayDB
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
» more
Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
» more
Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
» more

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Atos Standard Common RepositoryeXtremeDBHeroicPostgres-XLSwayDB
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