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

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

Editorial information provided by DB-Engines
NameIRONdb  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonSpark SQL  Xexclude from comparisonTeradata Aster  Xexclude from comparisonVelocityDB  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityRDBMS 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)
Primary database modelTime Series 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
Score0.05
Rank#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Websitewww.circonus.com/solutions/time-series-database/www.sap.com/­products/­technology-platform/­sql-anywhere.htmlspark.apache.org/­sqlvelocitydb.com
Technical documentationdocs.circonus.com/irondb/category/getting-startedhelp.sap.com/­docs/­SAP_SQL_Anywherespark.apache.org/­docs/­latest/­sql-programming-guide.htmlvelocitydb.com/­UserGuide
DeveloperCirconus LLC.SAP infoformerly SybaseApache Software FoundationTeradataVelocityDB Inc
Initial release20171992201420052011
Current releaseV0.10.20, January 201817, July 20153.5.0 ( 2.13), September 20237.x
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++ScalaC#
Server operating systemsLinuxAIX
HP-UX
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
LinuxAny that supports .NET
Data schemeschema-freeyesyesFlexible 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 dateyes infotext, numeric, histogramsyesyesyesyes
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 infoin Aster File Storeno
Secondary indexesnoyesnoyesyes
SQL infoSupport of SQLSQL-like query language (Circonus Analytics Query Language: CAQL)yesSQL-like DML and DDL statementsyesno
APIs and other access methodsHTTP APIADO.NET
HTTP API
JDBC
ODBC
JDBC
ODBC
ADO.NET
JDBC
ODBC
OLE DB
.Net
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Java
Python
R
Scala
C
C#
C++
Java
Python
R
.Net
Server-side scripts infoStored proceduresyes, in Luayes, in C/C++, Java, .Net or PerlnoR packagesno
TriggersnoyesnonoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesAutomatic, metric affinity per nodenoneyes, utilizing Spark CoreShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter awareSource-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.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoSQL Map-Reduce Frameworkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency per node, eventual consistency across nodesImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDACID
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.noyesnonoyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardnofine grained access rights according to SQL-standardBased on Windows Authentication

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More resources
IRONdbSAP SQL Anywhere infoformerly called Adaptive Server AnywhereSpark SQLTeradata AsterVelocityDB
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