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DBMS > Kdb vs. QuestDB vs. Spark SQL vs. STSdb

System Properties Comparison Kdb vs. QuestDB vs. Spark SQL vs. STSdb

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Editorial information provided by DB-Engines
NameKdb  Xexclude from comparisonQuestDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionHigh performance Time Series DBMSA high performance open source SQL database for time series dataSpark SQL is a component on top of 'Spark Core' for structured data processingKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelTime Series DBMS
Vector DBMS
Time Series DBMSRelational DBMSKey-value store
Secondary database modelsRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Websitekx.comquestdb.iospark.apache.org/­sqlgithub.com/­STSSoft/­STSdb4
Technical documentationcode.kx.comquestdb.io/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperKx Systems, a division of First Derivatives plcQuestDB Technology IncApache Software FoundationSTS Soft SC
Initial release2000 infokdb was released 2000, kdb+ in 2003201420142011
Current release3.6, May 20183.5.0 ( 2.13), September 20234.0.8, September 2015
License infoCommercial or Open Sourcecommercial infofree 32-bit versionOpen Source infoApache 2.0Open Source infoApache 2.0Open Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageqJava (Zero-GC), C++, RustScalaC#
Server operating systemsLinux
OS X
Solaris
Windows
Linux
macOS
Windows
Linux
OS X
Windows
Windows
Data schemeyesyes infoschema-free via InfluxDB Line Protocolyesyes
Typing infopredefined data types such as float or dateyesyesyesyes infoprimitive types and user defined types (classes)
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.yesnono
Secondary indexesyes infotable attribute 'grouped'nonono
SQL infoSupport of SQLSQL-like query language (q)SQL with time-series extensionsSQL-like DML and DDL statementsno
APIs and other access methodsHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
JDBC
ODBC
.NET Client API
Supported programming languagesC
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Java
Python
R
Scala
C#
Java
Server-side scripts infoStored proceduresuser defined functionsnonono
Triggersyes infowith viewsnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioninghorizontal partitioning (by timestamps)yes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replication with eventual consistencynonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infosimilar paradigm used for internal processingnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID for single-table writesnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infothrough memory mapped filesno
User concepts infoAccess controlrights management via user accountsnono
More information provided by the system vendor
KdbQuestDBSpark SQLSTSdb
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Relational model with native time series support Column-based storage and time partitioned...
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Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
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High ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
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Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
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Financial tick data Industrial IoT Application Metrics Monitoring
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Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
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Banks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
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Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
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Licensing and pricing modelsupon request
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Open source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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More resources
KdbQuestDBSpark SQLSTSdb
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