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DBMS > Datomic vs. eXtremeDB vs. Microsoft Azure AI Search vs. SWC-DB

System Properties Comparison Datomic vs. eXtremeDB vs. Microsoft Azure AI Search vs. SWC-DB

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisoneXtremeDB  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityNatively in-memory DBMS with options for persistency, high-availability and clusteringSearch-as-a-service for web and mobile app developmentA high performance, scalable Wide Column DBMS
Primary database modelRelational DBMSRelational DBMS
Time Series DBMS
Search engineWide column store
Secondary database modelsVector DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score0.74
Rank#223  Overall
#103  Relational DBMS
#18  Time Series DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Score0.01
Rank#376  Overall
#13  Wide column stores
Websitewww.datomic.comwww.mcobject.comazure.microsoft.com/­en-us/­services/­searchgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationdocs.datomic.comwww.mcobject.com/­docs/­extremedb.htmlearn.microsoft.com/­en-us/­azure/­search
DeveloperCognitectMcObjectMicrosoftAlex Kashirin
Initial release2012200120152020
Current release1.0.6735, June 20238.2, 2021V10.5, April 2021
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialcommercialOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureC and C++C++
Server operating systemsAll OS with a Java VMAIX
HP-UX
Linux
macOS
Solaris
Windows
hostedLinux
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes
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.nono infosupport of XML interfaces availablenono
Secondary indexesyesyesyes
SQL infoSupport of SQLnoyes infowith the option: eXtremeSQLnoSQL-like query language
APIs and other access methodsRESTful HTTP API.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
RESTful HTTP APIProprietary protocol
Thrift
Supported programming languagesClojure
Java
.Net
C
C#
C++
Java
Lua
Python
Scala
C#
Java
JavaScript
Python
C++
Server-side scripts infoStored proceduresyes infoTransaction Functionsyesnono
TriggersBy using transaction functionsyes infoby defining eventsnono
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peershorizontal partitioning / shardingSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersActive Replication Fabric™ 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 service
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentyesnono
User concepts infoAccess controlnoyes infousing Azure authentication
More information provided by the system vendor
DatomiceXtremeDBMicrosoft Azure AI SearchSWC-DB infoSuper Wide Column Database
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
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Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
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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...
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DatomiceXtremeDBMicrosoft Azure AI SearchSWC-DB infoSuper Wide Column Database
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