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DBMS > Elasticsearch vs. Microsoft Azure AI Search vs. Percona Server for MongoDB vs. SingleStore vs. WakandaDB

System Properties Comparison Elasticsearch vs. Microsoft Azure AI Search vs. Percona Server for MongoDB vs. SingleStore vs. WakandaDB

Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricSearch-as-a-service for web and mobile app developmentA drop-in replacement for MongoDB Community Edition with enterprise-grade features.MySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table typeWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelSearch engineSearch engineDocument storeRelational DBMSObject oriented DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Vector DBMSDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score135.35
Rank#7  Overall
#1  Search engines
Score5.59
Rank#63  Overall
#7  Search engines
Score0.52
Rank#254  Overall
#39  Document stores
Score5.60
Rank#62  Overall
#35  Relational DBMS
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitewww.elastic.co/­elasticsearchazure.microsoft.com/­en-us/­services/­searchwww.percona.com/­mongodb/­software/­percona-server-for-mongodbwww.singlestore.comwakanda.github.io
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmllearn.microsoft.com/­en-us/­azure/­searchdocs.percona.com/­percona-distribution-for-mongodbdocs.singlestore.comwakanda.github.io/­doc
DeveloperElasticMicrosoftPerconaSingleStore Inc.Wakanda SAS
Initial release20102015201520132012
Current release8.6, January 2023V13.4.10-2.10, November 20178.5, January 20242.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoElastic LicensecommercialOpen Source infoGPL Version 2commercial infofree developer edition availableOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
SingleStoreDB Cloud: The world's fastest, modern cloud database for both operational (OLTP) and analytical (OLAP) workloads. Available instantly with multi-cloud and hybrid-cloud capabilities
Implementation languageJavaC++C++, GoC++, JavaScript
Server operating systemsAll OS with a Java VMhostedLinuxLinux info64 bit version requiredLinux
OS X
Windows
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonononono
Secondary indexesyes infoAll search fields are automatically indexedyesyesyes
SQL infoSupport of SQLSQL-like query languagenonoyes infobut no triggers and foreign keysno
APIs and other access methodsJava API
RESTful HTTP/JSON API
RESTful HTTP APIproprietary protocol using JSONCluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
RESTful HTTP API
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C#
Java
JavaScript
Python
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
Bash
C
C#
Java
JavaScript (Node.js)
Python
JavaScript
Server-side scripts infoStored proceduresyesnoJavaScriptyesyes
Triggersyes infoby using the 'percolation' featurenononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud serviceShardingSharding infohash partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoImplicit feature of the cloud serviceSource-replica replicationSource-replica replication infostores two copies of each physical data partition on two separate nodesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectornoyesno infocan define user-defined aggregate functions for map-reduce-style calculationsno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationnoyes infovia In-Memory Engineyesno
User concepts infoAccess controlyes infousing Azure authenticationAccess rights for users and rolesFine grained access control via users, groups and rolesyes
More information provided by the system vendor
ElasticsearchMicrosoft Azure AI SearchPercona Server for MongoDBSingleStore infoformer name was MemSQLWakandaDB
Specific characteristicsSingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
» more
Competitive advantagesSingleStore’s competitive advantages include: Easy and Simplified Architecture with...
» more
Typical application scenariosDriving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
» more
Key customersIEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,...
» more
Market metricsCustomers in various industries worldwide including US and International Industry...
» more
Licensing and pricing modelsF ree Tier and Enterprise Edition
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
ElasticsearchMicrosoft Azure AI SearchPercona Server for MongoDBSingleStore infoformer name was MemSQLWakandaDB
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