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DBMS > Amazon CloudSearch vs. Microsoft Azure AI Search vs. Spark SQL vs. WakandaDB

System Properties Comparison Amazon CloudSearch vs. Microsoft Azure AI Search vs. Spark SQL vs. WakandaDB

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonSpark SQL  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudSearch-as-a-service for web and mobile app developmentSpark SQL is a component on top of 'Spark Core' for structured data processingWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelSearch engineSearch engineRelational DBMSObject oriented DBMS
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.81
Rank#137  Overall
#12  Search engines
Score5.52
Rank#59  Overall
#6  Search engines
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.10
Rank#356  Overall
#16  Object oriented DBMS
Websiteaws.amazon.com/­cloudsearchazure.microsoft.com/­en-us/­services/­searchspark.apache.org/­sqlwakanda.github.io
Technical documentationdocs.aws.amazon.com/­cloudsearchlearn.microsoft.com/­en-us/­azure/­searchspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwakanda.github.io/­doc
DeveloperAmazonMicrosoftApache Software FoundationWakanda SAS
Initial release2012201520142012
Current releaseV13.5.0 ( 2.13), September 20232.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaC++, JavaScript
Server operating systemshostedhostedLinux
OS X
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.nonono
Secondary indexesyes infoall search fields are automatically indexedyesno
SQL infoSupport of SQLnonoSQL-like DML and DDL statementsno
APIs and other access methodsHTTP APIRESTful HTTP APIJDBC
ODBC
RESTful HTTP API
Supported programming languagesC#
Java
JavaScript
Python
Java
Python
R
Scala
JavaScript
Server-side scripts infoStored proceduresnononoyes
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredSharding infoImplicit feature of the cloud serviceyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSyes infoImplicit feature of the cloud servicenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nonono
User concepts infoAccess controlauthentication via encrypted signaturesyes infousing Azure authenticationnoyes

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More resources
Amazon CloudSearchMicrosoft Azure AI SearchSpark SQLWakandaDB
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