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DBMS > Microsoft Azure AI Search vs. PostGIS vs. Splice Machine vs. WakandaDB

System Properties Comparison Microsoft Azure AI Search vs. PostGIS vs. Splice Machine vs. WakandaDB

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Editorial information provided by DB-Engines
NameMicrosoft Azure AI Search  Xexclude from comparisonPostGIS  Xexclude from comparisonSplice Machine  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionSearch-as-a-service for web and mobile app developmentSpatial extension of PostgreSQLOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelSearch engineSpatial DBMSRelational DBMSObject oriented DBMS
Secondary database modelsVector DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.59
Rank#63  Overall
#7  Search engines
Score22.69
Rank#29  Overall
#1  Spatial DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websiteazure.microsoft.com/­en-us/­services/­searchpostgis.netsplicemachine.comwakanda.github.io
Technical documentationlearn.microsoft.com/­en-us/­azure/­searchpostgis.net/­documentationsplicemachine.com/­how-it-workswakanda.github.io/­doc
DeveloperMicrosoftSplice MachineWakanda SAS
Initial release2015200520142012
Current releaseV13.4.2, February 20243.1, March 20212.7.0 (AprilĀ 29, 2019), April 2019
License infoCommercial or Open SourcecommercialOpen Source infoGPL v2.0Open Source infoAGPL 3.0, commercial license availableOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaC++, JavaScript
Server operating systemshostedLinux
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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
Secondary indexesyesyesyes
SQL infoSupport of SQLnoyesyesno
APIs and other access methodsRESTful HTTP APIJDBC
Native Spark Datasource
ODBC
RESTful HTTP API
Supported programming languagesC#
Java
JavaScript
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
JavaScript
Server-side scripts infoStored proceduresnouser defined functionsyes infoJavayes
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceyes infobased on PostgreSQLShared Nothhing Auto-Sharding, Columnar Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyes infobased on PostgreSQLMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesno
User concepts infoAccess controlyes infousing Azure authenticationyes infobased on PostgreSQLAccess rights for users, groups and roles according to SQL-standardyes

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More resources
Microsoft Azure AI SearchPostGISSplice MachineWakandaDB
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