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DBMS > Kdb vs. Splice Machine vs. TDengine

System Properties Comparison Kdb vs. Splice Machine vs. TDengine

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Editorial information provided by DB-Engines
NameKdb  Xexclude from comparisonSplice Machine  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionHigh performance Time Series DBMSOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkTime Series DBMS and big data platform
Primary database modelTime Series DBMS
Vector DBMS
Relational DBMSTime Series DBMS
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
Score0.54
Rank#252  Overall
#115  Relational DBMS
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Websitekx.comsplicemachine.comgithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationcode.kx.comsplicemachine.com/­how-it-worksdocs.tdengine.com
DeveloperKx Systems, a division of First Derivatives plcSplice MachineTDEngine, previously Taos Data
Initial release2000 infokdb was released 2000, kdb+ in 200320142019
Current release3.6, May 20183.1, March 20213.0, August 2022
License infoCommercial or Open Sourcecommercial infofree 32-bit versionOpen Source infoAGPL 3.0, commercial license availableOpen Source infoAGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageqJavaC
Server operating systemsLinux
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Linux
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.yesno
Secondary indexesyes infotable attribute 'grouped'yesno
SQL infoSupport of SQLSQL-like query language (q)yesStandard SQL with extensions for time-series applications
APIs and other access methodsHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
JDBC
Native Spark Datasource
ODBC
JDBC
RESTful HTTP API
Supported programming languagesC
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresuser defined functionsyes infoJavano
Triggersyes infowith viewsyesyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShared Nothhing Auto-Sharding, Columnar PartitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infosimilar paradigm used for internal processingYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlrights management via user accountsAccess rights for users, groups and roles according to SQL-standardyes
More information provided by the system vendor
KdbSplice MachineTDengine
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
TDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
High Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
TDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
TDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsupon request
» more
TDengine OSS is an open source, cloud native time series database. It includes built-in...
» 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
KdbSplice MachineTDengine
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