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

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

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Editorial information provided by DB-Engines
NameQuasardb  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.
DescriptionDistributed, 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 modelTime Series DBMSRelational DBMSRelational DBMSMultivalue DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
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
Websitequasar.aispark.apache.org/­sqltrafodion.apache.orgwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidata
Technical documentationdoc.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
DeveloperquasardbApache Software FoundationApache Software Foundation, originally developed by HPRocket Software
Initial release2009201420141985
Current release3.14.1, January 20243.5.0 ( 2.13), September 20232.3.0, February 2019
License infoCommercial or Open Sourcecommercial 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 servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ScalaC++, JavaC
Server operating systemsBSD
Linux
OS X
Windows
Linux
OS X
Windows
LinuxAIX
HP-UX
Linux
Solaris
Windows
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyes 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.nonono
Secondary indexesyes infowith tagsnoyesyes
SQL infoSupport of SQLSQL-like query languageSQL-like DML and DDL statementsyesyes
APIs and other access methodsHTTP 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 proceduresnonoJava Stored Proceduresyes
Triggersnononoyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesSharding infoconsistent hashingyes, utilizing Spark CoreShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with selectable replication factornoneyes, via HBaseSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodswith Hadoop integrationyes infovia user defined functions and HBaseno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID infoconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infoby using LevelDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoTransient modenono
User concepts infoAccess controlCryptographically 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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QuasardbSpark SQLTrafodionUniData,UniVerse
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