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DBMS > Ingres vs. Quasardb vs. Spark SQL vs. Trafodion vs. UniData,UniVerse

System Properties Comparison Ingres vs. Quasardb vs. Spark SQL vs. Trafodion vs. UniData,UniVerse

Editorial information provided by DB-Engines
NameIngres  Xexclude from comparisonQuasardb  Xexclude from comparisonSpark SQL  Xexclude from comparisonTrafodion  Xexclude from comparisonUniData,UniVerse  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionWell established RDBMSDistributed, high-performance timeseries databaseSpark SQL is a component on top of 'Spark Core' for structured data processingTransactional SQL-on-Hadoop DBMSMultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelRelational DBMSTime Series DBMSRelational DBMSRelational DBMSMultivalue DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.11
Rank#81  Overall
#44  Relational DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score3.16
Rank#97  Overall
#2  Multivalue DBMS
Websitewww.actian.com/­databases/­ingresquasar.aispark.apache.org/­sqltrafodion.apache.orgwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidata
Technical documentationdocs.actian.com/­ingresdoc.quasar.ai/­masterspark.apache.org/­docs/­latest/­sql-programming-guide.htmltrafodion.apache.org/­documentation.htmldocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
DeveloperActian CorporationquasardbApache Software FoundationApache Software Foundation, originally developed by HPRocket Software
Initial release1974 infooriginally developed at University Berkely in early 1970s2009201420141985
Current release11.2, May 20223.14.1, January 20243.5.0 ( 2.13), September 20232.3.0, February 2019
License infoCommercial or Open Sourcecommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache 2.0Open Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++ScalaC++, JavaC
Server operating systemsAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
BSD
Linux
OS X
Windows
Linux
OS X
Windows
LinuxAIX
HP-UX
Linux
Solaris
Windows
Data schemeyesschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyes infointeger and binaryyesyesoptional
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.no infobut tools for importing/exporting data from/to XML-files availablenonono
Secondary indexesyesyes infowith tagsnoyesyes
SQL infoSupport of SQLyesSQL-like query languageSQL-like DML and DDL statementsyesyes
APIs and other access methods.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
HTTP APIJDBC
ODBC
ADO.NET
JDBC
ODBC
Java API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languages.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Java
Python
R
Scala
All languages supporting JDBC/ODBC/ADO.Net.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresyesnonoJava Stored Proceduresyes
Triggersyesnononoyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoIngres Star to access multiple databases simultaneouslySharding infoconsistent hashingyes, utilizing Spark CoreShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesIngres ReplicatorSource-replica replication with selectable replication factornoneyes, via HBaseSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integrationyes infovia user defined functions and HBaseno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDACID infoconfigurable
Concurrency infoSupport for concurrent manipulation of datayes infoMVCCyesyesyesyes
Durability infoSupport for making data persistentyesyes infoby using LevelDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoTransient modenono
User concepts infoAccess controlfine grained access rights according to SQL-standardCryptographically strong user authentication and audit trailnofine grained access rights according to SQL-standardAccess rights according to SQL-standard and operating system based

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More resources
IngresQuasardbSpark SQLTrafodionUniData,UniVerse
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