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

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

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Editorial information provided by DB-Engines
NameMicrosoft Azure Search  Xexclude from comparisonSplice Machine  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionSearch-as-a-service for web and mobile app developmentOpen-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 engineRelational DBMSObject oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.62
Rank#58  Overall
#7  Search engines
Score0.92
Rank#191  Overall
#91  Relational DBMS
Score0.02
Rank#349  Overall
#19  Object oriented DBMS
Websiteazure.microsoft.com/­en-us/­services/­searchsplicemachine.comwakanda.github.io
Technical documentationdocs.microsoft.com/­en-us/­azure/­searchdoc.splicemachine.comdoc.wakanda.org/­home2.en.html#/­Datastore/­Introduction.200-588937.en.html
DeveloperMicrosoftSplice MachineWakanda SAS
Initial release201520142012
Current releaseV13.1, March 20212.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourcecommercialOpen Source infoAGPL 3.0, commercial license availableOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++, JavaScript
Server operating systemshostedLinux
OS X
Solaris
Windows
Linux
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.nono
Secondary indexesyesyes
SQL infoSupport of SQLnoyesno
APIs and other access methodsRESTful HTTP APIJDBC
Native Spark Datasource
ODBC
RESTful HTTP API
Supported programming languages.Net
C#
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
JavaScript
Server-side scripts infoStored proceduresnoyes infoJavayes
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShared Nothhing Auto-Sharding, Columnar Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlyes infousing Azure authenticationAccess rights for users, groups and roles according to SQL-standardyes
More information provided by the system vendor
Microsoft Azure SearchSplice MachineWakandaDB
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More resources
Microsoft Azure SearchSplice MachineWakandaDB
DB-Engines blog posts

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How to use Azure Search in .Net
23 April 2018, InfoWorld

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22 December 2021, TechTarget

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