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DBMS > SAP SQL Anywhere vs. Spark SQL vs. Teradata Aster vs. VelocityDB vs. YDB

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

Editorial information provided by DB-Engines
NameSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonSpark SQL  Xexclude from comparisonTeradata Aster  Xexclude from comparisonVelocityDB  Xexclude from comparisonYDB  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 processingPlatform 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)A distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelRelational DBMSRelational DBMSRelational DBMSGraph DBMS
Object oriented DBMS
Document store
Relational 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
Score0.05
Rank#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Score0.35
Rank#278  Overall
#43  Document stores
#127  Relational DBMS
Websitewww.sap.com/­products/­technology-platform/­sql-anywhere.htmlspark.apache.org/­sqlvelocitydb.comgithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationhelp.sap.com/­docs/­SAP_SQL_Anywherespark.apache.org/­docs/­latest/­sql-programming-guide.htmlvelocitydb.com/­UserGuideydb.tech/­en/­docs
DeveloperSAP infoformerly SybaseApache Software FoundationTeradataVelocityDB IncYandex
Initial release19922014200520112019
Current release17, July 20153.5.0 ( 2.13), September 20237.x
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialcommercialOpen Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaC#
Server operating systemsAIX
HP-UX
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
LinuxAny that supports .NETLinux
Data schemeyesyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File StoreyesFlexible Schema (defined schema, partial schema, schema free)
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 Storenono
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLyesSQL-like DML and DDL statementsyesnoSQL-like query language (YQL)
APIs and other access methodsADO.NET
HTTP API
JDBC
ODBC
JDBC
ODBC
ADO.NET
JDBC
ODBC
OLE DB
.NetRESTful HTTP API (DynamoDB compatible)
Supported programming languagesC
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Java
Python
R
Scala
C
C#
C++
Java
Python
R
.NetGo
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresyes, in C/C++, Java, .Net or PerlnoR packagesnono
TriggersyesnonoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesnoneyes, utilizing Spark CoreShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoDatabase mirroringnoneyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.Active-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoSQL Map-Reduce Frameworknono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesnonoyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standardBased on Windows AuthenticationAccess rights defined for Yandex Cloud users

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More resources
SAP SQL Anywhere infoformerly called Adaptive Server AnywhereSpark SQLTeradata AsterVelocityDBYDB
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