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DBMS > Graph Engine vs. Microsoft Azure Table Storage vs. SAP SQL Anywhere vs. Splice Machine

System Properties Comparison Graph Engine vs. Microsoft Azure Table Storage vs. SAP SQL Anywhere vs. Splice Machine

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Editorial information provided by DB-Engines
NameGraph Engine infoformer name: Trinity  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineA Wide Column Store for rapid development using massive semi-structured datasetsRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelGraph DBMS
Key-value store
Wide column storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score4.48
Rank#75  Overall
#6  Wide column stores
Score4.25
Rank#79  Overall
#43  Relational DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitewww.graphengine.ioazure.microsoft.com/­en-us/­services/­storage/­tableswww.sap.com/­products/­technology-platform/­sql-anywhere.htmlsplicemachine.com
Technical documentationwww.graphengine.io/­docs/­manualhelp.sap.com/­docs/­SAP_SQL_Anywheresplicemachine.com/­how-it-works
DeveloperMicrosoftMicrosoftSAP infoformerly SybaseSplice Machine
Initial release2010201219922014
Current release17, July 20153.1, March 2021
License infoCommercial or Open SourceOpen Source infoMIT LicensecommercialcommercialOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation language.NET and CJava
Server operating systems.NEThostedAIX
HP-UX
Linux
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Data schemeyesschema-freeyesyes
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.nonoyes
Secondary indexesnoyesyes
SQL infoSupport of SQLnonoyesyes
APIs and other access methodsRESTful HTTP APIRESTful HTTP APIADO.NET
HTTP API
JDBC
ODBC
JDBC
Native Spark Datasource
ODBC
Supported programming languagesC#
C++
F#
Visual Basic
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyesnoyes, in C/C++, Java, .Net or Perlyes infoJava
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infoImplicit feature of the cloud servicenoneShared Nothhing Auto-Sharding, Columnar Partitioning
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 replication infoDatabase mirroringMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanooptimistic lockingACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlAccess rights based on private key authentication or shared access signaturesfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standard

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More resources
Graph Engine infoformer name: TrinityMicrosoft Azure Table StorageSAP SQL Anywhere infoformerly called Adaptive Server AnywhereSplice Machine
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