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DBMS > Microsoft Azure Data Explorer vs. OpenSearch vs. Realm

System Properties Comparison Microsoft Azure Data Explorer vs. OpenSearch vs. Realm

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Editorial information provided by DB-Engines
NameMicrosoft Azure Data Explorer  Xexclude from comparisonOpenSearch  Xexclude from comparisonRealm  Xexclude from comparison
DescriptionFully managed big data interactive analytics platformA distributed, RESTful search and analytics engine forked from Elasticsearch and based on Apache LuceneA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primary database modelRelational DBMS infocolumn orientedSearch engineDocument store
Secondary database modelsDocument store infoIf a column is of type dynamic docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types/­dynamic then it's possible to add arbitrary JSON documents in this cell
Event Store infothis is the general usage pattern at Microsoft. Billing, Logs, Telemetry events are stored in ADX and the state of an individual entity is defined by the arg_max(timestamps)
Spatial DBMS
Search engine infosupport for complex search expressions docs.microsoft.com/­en-us/­azure/­kusto/­query/­parseoperator FTS, Geospatial docs.microsoft.com/­en-us/­azure/­kusto/­query/­geo-point-to-geohash-function distributed search -> ADX acts as a distributed search engine
Time Series DBMS infosee docs.microsoft.com/­en-us/­azure/­data-explorer/­time-series-analysis
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.28
Rank#83  Overall
#45  Relational DBMS
Score16.31
Rank#36  Overall
#4  Search engines
Score7.18
Rank#52  Overall
#8  Document stores
Websiteazure.microsoft.com/­services/­data-explorergithub.com/­opensearch-project
opensearch.org
realm.io
Technical documentationdocs.microsoft.com/­en-us/­azure/­data-exploreropensearch.org/­docs/­latestrealm.io/­docs
DeveloperMicrosoftAmazon Web ServicesRealm, acquired by MongoDB in May 2019
Initial release201920212014
Current releasecloud service with continuous releases2.5.0, January 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source
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.
STACKIT OpenSearch offers OpenSearch in a managed version in enterprise grade, 100% GDPR-compliant, for a wide range of applications like analytics, website search, offering scalability and fast data access.
Implementation languageJava
Server operating systemshostedAll OS with a Java VMAndroid
Backend: server-less
iOS
Windows
Data schemeFixed schema with schema-less datatypes (dynamic)schema-free infoFlexible type definitions. Once a type is defined, it is persistentyes
Typing infopredefined data types such as float or dateyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesyesyes
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.yesno
Secondary indexesall fields are automatically indexedyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLKusto Query Language (KQL), SQL subsetSQL-like query languageno
APIs and other access methodsMicrosoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Java API
RESTful HTTP/JSON API
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby infoElasticsearch client
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresYes, possible languages: KQL, Python, Ryesno inforuns within the applications so server-side scripts are unnecessary
Triggersyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyyes infoby using the 'percolation' featureyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.yesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsSpark connector (open source): github.com/­Azure/­azure-kusto-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Eventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyes
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.noyes infoIn-Memory realm
User concepts infoAccess controlAzure Active Directory Authenticationyes
More information provided by the system vendor
Microsoft Azure Data ExplorerOpenSearchRealm
Specific characteristicsOpenSearch is a highly scalable and extensible open-source software suite for search,...
» more
Competitive advantagesDistributed as fully open source under Apache License, Version 2.0 (ALv2), OpenSearch...
» more
Typical application scenariosThe OpenSearch platform is used across a broad range of search , analytics, and observability...
» more
Licensing and pricing modelsThe OpenSearch Project offers open source software licensed under Apache License...
» more

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Microsoft Azure Data ExplorerOpenSearchRealm
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