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DBMS > Quasardb vs. Realm vs. Spark SQL vs. Teradata vs. Trafodion

System Properties Comparison Quasardb vs. Realm vs. Spark SQL vs. Teradata vs. Trafodion

Editorial information provided by DB-Engines
NameQuasardb  Xexclude from comparisonRealm  Xexclude from comparisonSpark SQL  Xexclude from comparisonTeradata  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionDistributed, high-performance timeseries databaseA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataSpark SQL is a component on top of 'Spark Core' for structured data processingA hybrid cloud data analytics software platform (Teradata Vantage)Transactional SQL-on-Hadoop DBMS
Primary database modelTime Series DBMSDocument storeRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score7.41
Rank#52  Overall
#8  Document stores
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score44.87
Rank#22  Overall
#15  Relational DBMS
Websitequasar.airealm.iospark.apache.org/­sqlwww.teradata.comtrafodion.apache.org
Technical documentationdoc.quasar.ai/­masterrealm.io/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.teradata.comtrafodion.apache.org/­documentation.html
DeveloperquasardbRealm, acquired by MongoDB in May 2019Apache Software FoundationTeradataApache Software Foundation, originally developed by HP
Initial release20092014201419842014
Current release3.14.1, January 20243.5.0 ( 2.13), September 2023Teradata Vantage 1.0 MU2, January 20192.3.0, February 2019
License infoCommercial or Open Sourcecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen SourceOpen Source infoApache 2.0commercialOpen Source infoApache 2.0
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 languageC++ScalaC++, Java
Server operating systemsBSD
Linux
OS X
Windows
Android
Backend: server-less
iOS
Windows
Linux
OS X
Windows
hosted
Linux
Linux
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or dateyes infointeger and binaryyesyesyesyes
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.nononoyesno
Secondary indexesyes infowith tagsyesnoyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash indexyes
SQL infoSupport of SQLSQL-like query languagenoSQL-like DML and DDL statementsyes infoSQL 2016 + extensionsyes
APIs and other access methodsHTTP APIJDBC
ODBC
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
ADO.NET
JDBC
ODBC
Supported programming languages.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
.Net
Java infowith Android only
Objective-C
React Native
Swift
Java
Python
R
Scala
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnono inforuns within the applications so server-side scripts are unnecessarynoyes infoUDFs, stored procedures, table functions in parallelJava Stored Procedures
Triggersnoyes infoChange Listenersnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoconsistent hashingnoneyes, utilizing Spark CoreSharding infoHashingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with selectable replication factornonenoneMulti-source replication
Source-replica replication
yes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodswith Hadoop integrationnonoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infoby using LevelDByesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoTransient modeyes infoIn-Memory realmnoyesno
User concepts infoAccess controlCryptographically strong user authentication and audit trailyesnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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QuasardbRealmSpark SQLTeradataTrafodion
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