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DBMS > FeatureBase vs. Kdb vs. TDengine vs. Yaacomo

System Properties Comparison FeatureBase vs. Kdb vs. TDengine vs. Yaacomo

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Editorial information provided by DB-Engines
NameFeatureBase  Xexclude from comparisonKdb  Xexclude from comparisonTDengine  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.High performance Time Series DBMSTime Series DBMS and big data platformOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMSTime Series DBMS
Vector DBMS
Time Series DBMSRelational DBMS
Secondary database modelsRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#292  Overall
#135  Relational DBMS
Score7.71
Rank#49  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Websitewww.featurebase.comkx.comgithub.com/­taosdata/­TDengine
tdengine.com
yaacomo.com
Technical documentationdocs.featurebase.comcode.kx.comdocs.tdengine.com
DeveloperMolecula and Pilosa Open Source ContributorsKx Systems, a division of First Derivatives plcTDEngine, previously Taos DataQ2WEB GmbH
Initial release20172000 infokdb was released 2000, kdb+ in 200320192009
Current release2022, May 20223.6, May 20183.0, August 2022
License infoCommercial or Open Sourcecommercialcommercial infofree 32-bit versionOpen Source infoAGPL V3, also commercial editions availablecommercial
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 languageGoqC
Server operating systemsLinux
macOS
Linux
OS X
Solaris
Windows
Linux
Windows
Android
Linux
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyesnono
Secondary indexesnoyes infotable attribute 'grouped'noyes
SQL infoSupport of SQLSQL queriesSQL-like query language (q)Standard SQL with extensions for time-series applicationsyes
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
JDBC
RESTful HTTP API
JDBC
ODBC
Supported programming languagesJava
Python
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresuser defined functionsno
Triggersnoyes infowith viewsyes, via alarm monitoringyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infosimilar paradigm used for internal processingno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes, using Linux fsyncyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlrights management via user accountsyesfine grained access rights according to SQL-standard
More information provided by the system vendor
FeatureBaseKdbTDengineYaacomo
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
News

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31 May 2024

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More resources
FeatureBaseKdbTDengineYaacomo
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