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DBMS > Microsoft Azure Table Storage vs. OpenEdge vs. Realm vs. Vertica

System Properties Comparison Microsoft Azure Table Storage vs. OpenEdge vs. Realm vs. Vertica

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Editorial information provided by DB-Engines
NameMicrosoft Azure Table Storage  Xexclude from comparisonOpenEdge  Xexclude from comparisonRealm  Xexclude from comparisonVertica infoVertica Analytics Platform  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 DataColumnar relational DBMS designed to handle modern analytic workloads, enabling fast query performance
Primary database modelWide column storeRelational DBMSDocument storeRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.77
Rank#66  Overall
#5  Wide column stores
Score5.06
Rank#74  Overall
#41  Relational DBMS
Score8.75
Rank#47  Overall
#8  Document stores
Score21.77
Rank#31  Overall
#18  Relational DBMS
Websiteazure.microsoft.com/­en-us/­services/­storage/­tableswww.progress.com/­openedgerealm.iowww.vertica.com
Technical documentationdocumentation.progress.com/­output/­ua/­OpenEdge_latestrealm.io/­docswww.vertica.com/­docs/­10.0.x/­HTML/­Content/­Home.htm
DeveloperMicrosoftProgress Software CorporationRealm, acquired by MongoDB in May 2019Vertica / Micro Focus infoprior to that Hewlett Packard
Initial release2012198420142005
Current releaseOpenEdge 12.2, March 2020Vertica 10.0 Software, May 2020
Vertica for SQL on Hadoop 10.0 Software, May 2020
License infoCommercial or Open SourcecommercialcommercialOpen Sourcecommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud serviceyesnonono infoAvailable on all major clouds - Amazon AWS, Microsoft Azure and Google Cloud Platform
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Server operating systemshostedAIX
HP-UX
Linux
Solaris
Windows
Android
Backend: server-less
iOS
Windows
Linux
Data schemeschema-freeyesyesyes infoUnstructured data can be stored in specific Flex-Tables
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.noyesnoyes
Secondary indexesnoyesyesno infoThe concept of 'projections' can be used instead of indexes.
SQL infoSupport of SQLnoyes infoclose to SQL 92noyes infonearly full SQL99 without support for indexes and triggers
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
ADO.NET
JDBC
Kafka
ODBC
Proprietary protocol
RESTful HTTP 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++
Java
Perl
Python
R
Server-side scripts infoStored proceduresnoyesno inforuns within the applications so server-side scripts are unnecessaryyes
Triggersnoyesyes infoChange Listenersno
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicehorizontal partitioning infosince Version 11.4noneSharding infoSegmentation, Projection Segmentation, Hash Segmentation
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 replicationnoneMulti-source replication infoCluster level and Object level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infowith Vertica Connector for Hadoop
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataoptimistic lockingACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.nonoyes infoIn-Memory realm
User concepts infoAccess controlAccess rights based on private key authentication or shared access signaturesUsers and groupsyesfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
Microsoft Azure Table StorageOpenEdgeRealmVertica infoVertica Analytics Platform
Specific characteristicsNow a part of MongoDB Data Platform , Realm Database is the fast, easy to use, and...
» more
Columnar storage, MPP, Hybrid storage model, Aggressive data compression, High availability,...
» more
Competitive advantagesRealm ensures offline-first functionality, meaning apps run smoothly and deliver...
» more
Performance at exabyte scale, Deploy anywhere, Open source innovation, Analysis in...
» more
Typical application scenariosMobile Consumer Apps First-Line Worker Apps
» more
Communication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» more
Key customersCathay Pacific Royal Carribbean Cruise Lines Open Source Database powers apps built...
» more
Abiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Market metricsUsed by 100,000+ developers 2 bn installs Currently used in 40k+ applications in...
» more
Licensing and pricing modelsRealm database is licensed under the Apache License v2.0.
» more
Cost-based models and subscription-based models are available
» more

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More resources
Microsoft Azure Table StorageOpenEdgeRealmVertica infoVertica Analytics Platform
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