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DBMS > atoti vs. Firebolt vs. Microsoft Azure AI Search

System Properties Comparison atoti vs. Firebolt vs. Microsoft Azure AI Search

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonFirebolt  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Highly scalable cloud data warehouse and analytics product infoForked from ClickhouseSearch-as-a-service for web and mobile app development
Primary database modelObject oriented DBMSRelational DBMSSearch engine
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#243  Overall
#11  Object oriented DBMS
Score1.73
Rank#140  Overall
#63  Relational DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Websiteatoti.iowww.firebolt.ioazure.microsoft.com/­en-us/­services/­search
Technical documentationdocs.atoti.iodocs.firebolt.iolearn.microsoft.com/­en-us/­azure/­search
DeveloperActiveViamFirebolt Analytics Inc.Microsoft
Initial release20202015
Current releaseV1
License infoCommercial or Open Sourcecommercial infofree versions availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava
Server operating systemshostedhosted
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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.no
Secondary indexesyesyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)yesno
APIs and other access methods.Net
ODBC
RESTful HTTP API
RESTful HTTP API
Supported programming languagesGo
JavaScript (Node.js)
Python
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresPythonnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layeryes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlyes infousing Azure authentication

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More resources
atotiFireboltMicrosoft Azure AI Search
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