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DBMS > Quasardb vs. Spark SQL vs. TimesTen

System Properties Comparison Quasardb vs. Spark SQL vs. TimesTen

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Editorial information provided by DB-Engines
NameQuasardb  Xexclude from comparisonSpark SQL  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionDistributed, high-performance timeseries databaseSpark SQL is a component on top of 'Spark Core' for structured data processingIn-Memory RDBMS compatible to Oracle
Primary database modelTime Series DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.09
Rank#290  Overall
#22  Time Series DBMS
Score16.14
Rank#35  Overall
#21  Relational DBMS
Score2.25
Rank#107  Overall
#52  Relational DBMS
Websitewww.quasardb.netspark.apache.org/­sqlwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationdoc.quasardb.netspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.oracle.com/­database/­timesten-18.1
DeveloperquasardbApache Software FoundationOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release200920141998
Current release3.1, January 2019v2.4.4, September 201911 Release 2 (11.2.2.8.0)
License infoCommercial or Open Sourcecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Scala
Server operating systemsBSD
Linux
OS X
Windows
Linux
OS X
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyes infointeger and binaryyesyes
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 tagsnoyes
SQL infoSupport of SQLSQL-like query languageSQL-like DML and DDL statementsyes
APIs and other access methodsHTTP APIJDBC
ODBC
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languages.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Java
Python
R
Scala
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresnonoPL/SQL
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infoconsistent hashingyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replication with selectable replication factornoneMaster-master replication
Master-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodswith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infoby using LevelDByesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoTransient modenoyes
User concepts infoAccess controlCryptographically strong user authentication and audit trailnofine grained access rights according to SQL-standard
More information provided by the system vendor
QuasardbSpark SQLTimesTen
Specific characteristicsHigh-performance , high-speed, fully integrated timeseries database Seamlessly combines...
» more
The world's first commercial In-Memory Relational Database offering (launched in...
» more
Competitive advantagesHigh performance in a cost-effective small package Real-time results for even large...
» more
TimesTen offers many advantages over competing products: Mature product with nearly...
» more
Typical application scenariosTick database Predictive maintenance Pre-deal checks Large scale monitoring
» more
TimesTen can be used in a wide range of application areas. Some examples include:...
» more
Key customersLarge EU investment banks US based hedge funds Orolia Tellmeplus
» more
Some of our key customers include Ericsson , Telcordia , China Mobile, China Telecom,...
» more
Market metricsHas been running in very demanding production environments since 2013 Rapid adoption...
» more
TimesTen is used by thousands of customers in tens of thousands of deployments worldwide...
» more
Licensing and pricing modelsCommunity edition limited to 2 nodes and 16 GiB of storage per node available for...
» more
Standard Oracle licence models ; end user and ISV/OEM licence terms available.
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
QuasardbSpark SQLTimesTen
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