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DBMS > Amazon DocumentDB vs. Atos Standard Common Repository vs. eXtremeDB vs. Microsoft Azure AI Search vs. SiteWhere

System Properties Comparison Amazon DocumentDB vs. Atos Standard Common Repository vs. eXtremeDB vs. Microsoft Azure AI Search vs. SiteWhere

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisoneXtremeDB  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonSiteWhere  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceHighly 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 clusteringSearch-as-a-service for web and mobile app developmentM2M integration platform for persisting/querying time series data
Primary database modelDocument storeDocument store
Key-value store
Relational DBMS
Time Series DBMS
Search engineTime Series DBMS
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score0.74
Rank#223  Overall
#103  Relational DBMS
#18  Time Series DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Websiteaws.amazon.com/­documentdbatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.mcobject.comazure.microsoft.com/­en-us/­services/­searchgithub.com/­sitewhere/­sitewhere
Technical documentationaws.amazon.com/­documentdb/­resourceswww.mcobject.com/­docs/­extremedb.htmlearn.microsoft.com/­en-us/­azure/­searchsitewhere1.sitewhere.io/­index.html
DeveloperAtos Convergence CreatorsMcObjectMicrosoftSiteWhere
Initial release20192016200120152010
Current release17038.2, 2021V1
License infoCommercial or Open SourcecommercialcommercialcommercialcommercialOpen Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC and C++Java
Server operating systemshostedLinuxAIX
HP-UX
Linux
macOS
Solaris
Windows
hostedLinux
OS X
Windows
Data schemeschema-freeSchema and schema-less with LDAP viewsyesyespredefined scheme
Typing infopredefined data types such as float or dateyesoptionalyesyesyes
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.noyesno infosupport of XML interfaces availablenono
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLnonoyes infowith the option: eXtremeSQLnono
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)LDAP.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
RESTful HTTP APIHTTP REST
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
All languages with LDAP bindings.Net
C
C#
C++
Java
Lua
Python
Scala
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresnonoyesno
Triggersnoyesyes infoby defining eventsno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infocell divisionhorizontal partitioning / shardingSharding infoImplicit feature of the cloud serviceSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyesActive Replication Fabricâ„¢ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
yes infoImplicit feature of the cloud serviceselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsAtomic execution of specific operationsACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyes
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.yesyesnono
User concepts infoAccess controlAccess rights for users and rolesLDAP bind authenticationyes infousing Azure authenticationUsers with fine-grained authorization concept
More information provided by the system vendor
Amazon DocumentDBAtos Standard Common RepositoryeXtremeDBMicrosoft Azure AI SearchSiteWhere
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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Amazon DocumentDBAtos Standard Common RepositoryeXtremeDBMicrosoft Azure AI SearchSiteWhere
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