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DBMS > SAP SQL Anywhere vs. Spark SQL vs. Splice Machine vs. Teradata Aster vs. VelocityDB

System Properties Comparison SAP SQL Anywhere vs. Spark SQL vs. Splice Machine vs. Teradata Aster vs. VelocityDB

Editorial information provided by DB-Engines
NameSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonSpark SQL  Xexclude from comparisonSplice Machine  Xexclude from comparisonTeradata Aster  Xexclude from comparisonVelocityDB  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsSpark SQL is a component on top of 'Spark Core' for structured data processingOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkPlatform for big data analytics on multistructured data sources and typesA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMSGraph DBMS
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.25
Rank#79  Overall
#43  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Score0.05
Rank#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Websitewww.sap.com/­products/­technology-platform/­sql-anywhere.htmlspark.apache.org/­sqlsplicemachine.comvelocitydb.com
Technical documentationhelp.sap.com/­docs/­SAP_SQL_Anywherespark.apache.org/­docs/­latest/­sql-programming-guide.htmlsplicemachine.com/­how-it-worksvelocitydb.com/­UserGuide
DeveloperSAP infoformerly SybaseApache Software FoundationSplice MachineTeradataVelocityDB Inc
Initial release19922014201420052011
Current release17, July 20153.5.0 ( 2.13), September 20233.1, March 20217.x
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoAGPL 3.0, commercial license availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaJavaC#
Server operating systemsAIX
HP-UX
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Linux
OS X
Solaris
Windows
LinuxAny that supports .NET
Data schemeyesyesyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Storeyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.yesnoyes infoin Aster File Storeno
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLyesSQL-like DML and DDL statementsyesyesno
APIs and other access methodsADO.NET
HTTP API
JDBC
ODBC
JDBC
ODBC
JDBC
Native Spark Datasource
ODBC
ADO.NET
JDBC
ODBC
OLE DB
.Net
Supported programming languagesC
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Java
Python
R
Scala
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C
C#
C++
Java
Python
R
.Net
Server-side scripts infoStored proceduresyes, in C/C++, Java, .Net or Perlnoyes infoJavaR packagesno
TriggersyesnoyesnoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesnoneyes, utilizing Spark CoreShared Nothhing Auto-Sharding, Columnar PartitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoDatabase mirroringnoneMulti-source replication
Source-replica replication
yes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoYes, via Full Spark Integrationyes infoSQL Map-Reduce Frameworkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
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.yesnoyesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standardBased on Windows Authentication

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More resources
SAP SQL Anywhere infoformerly called Adaptive Server AnywhereSpark SQLSplice MachineTeradata AsterVelocityDB
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