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DBMS > Kinetica vs. QuestDB

System Properties Comparison Kinetica vs. QuestDB

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Our visitors often compare Kinetica and QuestDB with Druid, InfluxDB and TimescaleDB.

Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonQuestDB  Xexclude from comparison
DescriptionGPU-accelerated database for real-time analysis of large and streaming datasetsA high performance, low latency Time Series DBMS
Primary database modelRelational DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.57
Rank#200  Overall
#97  Relational DBMS
Score0.17
Rank#266  Overall
#20  Time Series DBMS
Websitewww.kinetica.comwww.questdb.io
Technical documentationwww.kinetica.com/­docswww.questdb.io/­docs/­docstructure
DeveloperKineticaQuestDB Limited
Initial release20122014
Current release6.0
License infoCommercial or Open SourcecommercialOpen Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++Java
Server operating systemsLinuxLinux
macOS
Windows
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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.nono
Secondary indexesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HTTP REST
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
Java
Server-side scripts infoStored proceduresuser defined functionsno
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID for single-table writes
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMno
User concepts infoAccess controlAccess rights for users and roles on table level

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More resources
KineticaQuestDB
Recent citations in the news

Barghest Building Performance (BBP) Selects Kinetica Active Analytics Powered by NVIDIA GPUs to Harness the Power of Building Sensor Data
11 March 2020, Valdosta Daily Times

GPU Database Market to Witness Huge Growth by 2027 | Kinetica DB , Neo4j, OmniSci, SQream Technologies
27 March 2020, Skyline Gazette

GPU Database Market Report by Geographical Segmentation 2020 Kinetica, Omnisci, Sqream
2 March 2020, NJ MMA News

Kinetica Collaborates with NVIDIA to Serve Real-time Data-driven Insights
6 November 2019, MarTech Advisor

Kinetica Recognized by InfoWorld as 2020 Technology of the Year
10 February 2020, Yahoo Finance

provided by Google News

Job opportunities

Customer Support Engineer
Kinetica DB, Arlington, VA

Business Development Director (Government/Public Sector)
Kinetica DB, Arlington, VA

Customer Success Operations Lead
Kinetica DB, San Francisco, CA

Sales Enablement Manager
Kinetica DB, San Francisco, CA

Machine Learning Engineer, AAG Engineering
Bain & Company Inc, Palo Alto, CA

jobs by Indeed




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