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DBMS > Kdb vs. OpenQM vs. QuestDB vs. Sphinx

System Properties Comparison Kdb vs. OpenQM vs. QuestDB vs. Sphinx

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Editorial information provided by DB-Engines
NameKdb  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonQuestDB  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionHigh performance Time Series DBMSQpenQM is a high-performance, self-tuning, multi-value DBMSA high performance open source SQL database for time series dataOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelTime Series DBMS
Vector DBMS
Multivalue DBMSTime Series DBMSSearch engine
Secondary database modelsRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.71
Rank#49  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score0.34
Rank#284  Overall
#10  Multivalue DBMS
Score2.70
Rank#105  Overall
#8  Time Series DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Websitekx.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmquestdb.iosphinxsearch.com
Technical documentationcode.kx.comquestdb.io/­docssphinxsearch.com/­docs
DeveloperKx Systems, a division of First Derivatives plcRocket Software, originally Martin PhillipsQuestDB Technology IncSphinx Technologies Inc.
Initial release2000 infokdb was released 2000, kdb+ in 2003199320142001
Current release3.6, May 20183.4-123.5.1, February 2023
License infoCommercial or Open Sourcecommercial infofree 32-bit versionOpen Source infoGPLv2, extended commercial license availableOpen Source infoApache 2.0Open Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageqJava (Zero-GC), C++, RustC++
Server operating systemsLinux
OS X
Solaris
Windows
AIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Linux
macOS
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyes infowith some exceptionsyes infoschema-free via InfluxDB Line Protocolyes
Typing infopredefined data types such as float or dateyesyesno
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.yesyesno
Secondary indexesyes infotable attribute 'grouped'yesnoyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like query language (q)noSQL with time-series extensionsSQL-like query language (SphinxQL)
APIs and other access methodsHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Proprietary protocol
Supported programming languagesC
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
.Net
Basic
C
Java
Objective C
PHP
Python
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresuser defined functionsyesnono
Triggersyes infowith viewsyesnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningyeshorizontal partitioning (by timestamps)Sharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesSource-replica replication with eventual consistencynone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infosimilar paradigm used for internal processingnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID for single-table writesno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infothrough memory mapped files
User concepts infoAccess controlrights management via user accountsAccess rights can be defined down to the item levelno
More information provided by the system vendor
KdbOpenQM infoalso called QMQuestDBSphinx
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...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
High ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Financial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Banks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more
Open source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» 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
KdbOpenQM infoalso called QMQuestDBSphinx
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