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DBMS > Microsoft Azure AI Search vs. OpenEdge vs. Prometheus vs. Solr vs. Warp 10

System Properties Comparison Microsoft Azure AI Search vs. OpenEdge vs. Prometheus vs. Solr vs. Warp 10

Editorial information provided by DB-Engines
NameMicrosoft Azure AI Search  Xexclude from comparisonOpenEdge  Xexclude from comparisonPrometheus  Xexclude from comparisonSolr  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionSearch-as-a-service for web and mobile app developmentApplication development environment with integrated database management systemOpen-source Time Series DBMS and monitoring systemA widely used distributed, scalable search engine based on Apache LuceneTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelSearch engineRelational DBMSTime Series DBMSSearch engineTime Series DBMS
Secondary database modelsVector DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.52
Rank#59  Overall
#6  Search engines
Score3.45
Rank#85  Overall
#46  Relational DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Score0.14
Rank#344  Overall
#32  Time Series DBMS
Websiteazure.microsoft.com/­en-us/­services/­searchwww.progress.com/­openedgeprometheus.iosolr.apache.orgwww.warp10.io
Technical documentationlearn.microsoft.com/­en-us/­azure/­searchdocumentation.progress.com/­output/­ua/­OpenEdge_latestprometheus.io/­docssolr.apache.org/­resources.htmlwww.warp10.io/­content/­02_Getting_started
DeveloperMicrosoftProgress Software CorporationApache Software FoundationSenX
Initial release20151984201520062015
Current releaseV1OpenEdge 12.2, March 20209.6.1, May 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source infoApache Version 2Open Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJavaJava
Server operating systemshostedAIX
HP-UX
Linux
Solaris
Windows
Linux
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
OS X
Windows
Data schemeyesyesyesyes infoDynamic Fields enables on-the-fly addition of new fieldsschema-free
Typing infopredefined data types such as float or dateyesyesNumeric data onlyyes infosupports customizable data types and automatic typingyes
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 infoImport of XML data possibleyesno
Secondary indexesyesyesnoyes infoAll search fields are automatically indexedno
SQL infoSupport of SQLnoyes infoclose to SQL 92noSolr Parallel SQL Interfaceno
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
RESTful HTTP/JSON APIJava API
RESTful HTTP/JSON API
HTTP API
Jupyter
WebSocket
Supported programming languagesC#
Java
JavaScript
Python
Progress proprietary ABL (Advanced Business Language).Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoyesnoJava pluginsyes infoWarpScript
Triggersnoyesnoyes infoUser configurable commands triggered on index changesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicehorizontal partitioning infosince Version 11.4ShardingShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceSource-replica replicationyes infoby Federationyesselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencynoneEventual ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnooptimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyesyes
User concepts infoAccess controlyes infousing Azure authenticationUsers and groupsnoyesMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
Microsoft Azure AI SearchOpenEdgePrometheusSolrWarp 10
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