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DBMS > Adabas vs. Graph Engine vs. Memcached vs. Microsoft Azure Synapse Analytics vs. Realm

System Properties Comparison Adabas vs. Graph Engine vs. Memcached vs. Microsoft Azure Synapse Analytics vs. Realm

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonMemcached  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonRealm  Xexclude from comparison
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineIn-memory key-value store, originally intended for cachingElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primary database modelMultivalue DBMSGraph DBMS
Key-value store
Key-value storeRelational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.58
Rank#91  Overall
#1  Multivalue DBMS
Score0.62
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score20.74
Rank#32  Overall
#4  Key-value stores
Score22.71
Rank#30  Overall
#18  Relational DBMS
Score7.71
Rank#52  Overall
#9  Document stores
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlwww.graphengine.iowww.memcached.orgazure.microsoft.com/­services/­synapse-analyticsrealm.io
Technical documentationwww.graphengine.io/­docs/­manualgithub.com/­memcached/­memcached/­wikidocs.microsoft.com/­azure/­synapse-analyticsrealm.io/­docs
DeveloperSoftware AGMicrosoftDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalMicrosoftRealm, acquired by MongoDB in May 2019
Initial release19712010200320162014
Current release1.6.25, March 2024
License infoCommercial or Open SourcecommercialOpen Source infoMIT LicenseOpen Source infoBSD licensecommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation language.NET and CCC++
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
.NETFreeBSD
Linux
OS X
Unix
Windows
hostedAndroid
Backend: server-less
iOS
Windows
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesnoyesyes
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.nononono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL Gatewaynonoyesno
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
RESTful HTTP APIProprietary protocolADO.NET
JDBC
ODBC
Supported programming languagesNaturalC#
C++
F#
Visual Basic
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
C#
Java
PHP
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresin NaturalyesnoTransact SQLno inforuns within the applications so server-side scripts are unnecessary
Triggersnonononoyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas Vistahorizontal partitioningnoneSharding, horizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event Replicatornone infoRepcached, a Memcached patch, provides this functionallityyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storagenoyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoIn-Memory realm
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)yes infousing SASL (Simple Authentication and Security Layer) protocolyesyes

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More resources
Adabas infodenotes "adaptable data base"Graph Engine infoformer name: TrinityMemcachedMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseRealm
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