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DBMS > Microsoft Azure Table Storage vs. OpenEdge vs. Realm vs. SiriDB vs. Solr

System Properties Comparison Microsoft Azure Table Storage vs. OpenEdge vs. Realm vs. SiriDB vs. Solr

Editorial information provided by DB-Engines
NameMicrosoft Azure Table Storage  Xexclude from comparisonOpenEdge  Xexclude from comparisonRealm  Xexclude from comparisonSiriDB  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionA Wide Column Store for rapid development using massive semi-structured datasetsApplication development environment with integrated database management systemA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataOpen Source Time Series DBMSA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelWide column storeRelational DBMSDocument storeTime Series DBMSSearch engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.04
Rank#77  Overall
#6  Wide column stores
Score3.45
Rank#85  Overall
#46  Relational DBMS
Score7.41
Rank#52  Overall
#8  Document stores
Score0.07
Rank#378  Overall
#42  Time Series DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Websiteazure.microsoft.com/­en-us/­services/­storage/­tableswww.progress.com/­openedgerealm.iosiridb.comsolr.apache.org
Technical documentationdocumentation.progress.com/­output/­ua/­OpenEdge_latestrealm.io/­docsdocs.siridb.comsolr.apache.org/­resources.html
DeveloperMicrosoftProgress Software CorporationRealm, acquired by MongoDB in May 2019CesbitApache Software Foundation
Initial release20121984201420172006
Current releaseOpenEdge 12.2, March 20209.6.1, May 2024
License infoCommercial or Open SourcecommercialcommercialOpen SourceOpen Source infoMIT LicenseOpen Source infoApache Version 2
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 languageCJava
Server operating systemshostedAIX
HP-UX
Linux
Solaris
Windows
Android
Backend: server-less
iOS
Windows
LinuxAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeschema-freeyesyesyesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesyesyes infoNumeric datayes infosupports customizable data types and automatic typing
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.noyesnonoyes
Secondary indexesnoyesyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnoyes infoclose to SQL 92nonoSolr Parallel SQL Interface
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
HTTP APIJava API
RESTful HTTP/JSON API
Supported programming languages.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Progress proprietary ABL (Advanced Business Language).Net
Java infowith Android only
Objective-C
React Native
Swift
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoyesno inforuns within the applications so server-side scripts are unnecessarynoJava plugins
Triggersnoyesyes infoChange Listenersnoyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicehorizontal partitioning infosince Version 11.4noneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-replica replicationnoneyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataoptimistic lockingACIDACIDnooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nonoyes infoIn-Memory realmyesyes
User concepts infoAccess controlAccess rights based on private key authentication or shared access signaturesUsers and groupsyessimple rights management via user accountsyes

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More resources
Microsoft Azure Table StorageOpenEdgeRealmSiriDBSolr
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