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DBMS > FeatureBase vs. Microsoft Azure AI Search vs. Quasardb

System Properties Comparison FeatureBase vs. Microsoft Azure AI Search vs. Quasardb

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Editorial information provided by DB-Engines
NameFeatureBase  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Search-as-a-service for web and mobile app developmentDistributed, high-performance timeseries database
Primary database modelRelational DBMSSearch engineTime Series DBMS
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#309  Overall
#139  Relational DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websitewww.featurebase.comazure.microsoft.com/­en-us/­services/­searchquasar.ai
Technical documentationdocs.featurebase.comlearn.microsoft.com/­en-us/­azure/­searchdoc.quasar.ai/­master
DeveloperMolecula and Pilosa Open Source ContributorsMicrosoftquasardb
Initial release201720152009
Current release2022, May 2022V13.14.1, January 2024
License infoCommercial or Open Sourcecommercialcommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++
Server operating systemsLinux
macOS
hostedBSD
Linux
OS X
Windows
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes infointeger and binary
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.nonono
Secondary indexesnoyesyes infowith tags
SQL infoSupport of SQLSQL queriesnoSQL-like query language
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
RESTful HTTP APIHTTP API
Supported programming languagesJava
Python
C#
Java
JavaScript
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud serviceSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoImplicit feature of the cloud serviceSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes, using Linux fsyncyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoTransient mode
User concepts infoAccess controlyes infousing Azure authenticationCryptographically strong user authentication and audit trail

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More resources
FeatureBaseMicrosoft Azure AI SearchQuasardb
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