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DBMS > Kinetica vs. Postgres-XL vs. Quasardb

System Properties Comparison Kinetica vs. Postgres-XL vs. Quasardb

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonPostgres-XL  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresDistributed, high-performance timeseries database
Primary database modelRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.74
Rank#202  Overall
#97  Relational DBMS
Score0.72
Rank#204  Overall
#99  Relational DBMS
Score0.15
Rank#297  Overall
#27  Time Series DBMS
Websitewww.kinetica.comwww.postgres-xl.orgquasardb.net
Technical documentationwww.kinetica.com/­docswww.postgres-xl.org/­documentationdoc.quasardb.net
DeveloperKineticaquasardb
Initial release20122014 infosince 2012, originally named StormDB2009
Current release7.1, August 202110 R1, October 20183.1, January 2019
License infoCommercial or Open SourcecommercialOpen Source infoMozilla public licensecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
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, C++CC++
Server operating systemsLinuxLinux
macOS
BSD
Linux
OS X
Windows
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes infointeger and binary
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.noyes infoXML type, but no XML query functionalityno
Secondary indexesyesyesyes infowith tags
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infodistributed, parallel query executionSQL-like query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP API
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresuser defined functionsuser defined functionsno
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeyesno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoMVCCACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMnoyes infoTransient mode
User concepts infoAccess controlAccess rights for users and roles on table levelfine grained access rights according to SQL-standardCryptographically strong user authentication and audit trail
More information provided by the system vendor
KineticaPostgres-XLQuasardb
Specific characteristicsNative and fully vectorized database across both GPUs and CPUs, with memory first...
» more
High-performance , high-speed, fully integrated timeseries database Seamlessly combines...
» more
Competitive advantagesBest in class geospatial and temporal analytics. Lockless architecture provides real-time...
» more
High performance in a cost-effective small package Real-time results for even large...
» more
Typical application scenariosAny application requiring (1) real time insights, (2) time series analysis (3) geospatial...
» more
Tick database Predictive maintenance Pre-deal checks Large scale monitoring
» more
Key customersCitibank, US Air Force, Softbank, OVO, Telkomsel, USPS, 2 of the top 3 US Telcos,...
» more
Large EU investment banks US based hedge funds Orolia Tellmeplus
» more
Market metricsThe largest IoT deployment in the world, NORAD, runs on Kinetica.
» more
Has been running in very demanding production environments since 2013 Rapid adoption...
» more
Licensing and pricing modelsAlways Free Tier in the Cloud, Pay-As-You-Go Consumption Based Pricing, and Portable...
» more
Community edition limited to 2 nodes and 16 GiB of storage per node available for...
» 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
KineticaPostgres-XLQuasardb
Recent citations in the news

Bank Replaces Hundreds of Spark Streaming Nodes with Kinetica
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