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

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

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Editorial information provided by DB-Engines
NameFeatureBase  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonWakandaDB  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 developmentWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelRelational DBMSSearch engineObject oriented 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
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitewww.featurebase.comazure.microsoft.com/­en-us/­services/­searchwakanda.github.io
Technical documentationdocs.featurebase.comlearn.microsoft.com/­en-us/­azure/­searchwakanda.github.io/­doc
DeveloperMolecula and Pilosa Open Source ContributorsMicrosoftWakanda SAS
Initial release201720152012
Current release2022, May 2022V12.7.0 (AprilĀ 29, 2019), April 2019
License infoCommercial or Open SourcecommercialcommercialOpen Source infoAGPLv3, extended commercial license available
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++, JavaScript
Server operating systemsLinux
macOS
hostedLinux
OS X
Windows
Data schemeyesyesyes
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.nonono
Secondary indexesnoyes
SQL infoSupport of SQLSQL queriesnono
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
RESTful HTTP APIRESTful HTTP API
Supported programming languagesJava
Python
C#
Java
JavaScript
Python
JavaScript
Server-side scripts infoStored proceduresnoyes
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud servicenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoImplicit feature of the cloud servicenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno
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
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlyes infousing Azure authenticationyes

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More resources
FeatureBaseMicrosoft Azure AI SearchWakandaDB
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