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DBMS > Hive vs. InfluxDB vs. TDengine vs. TempoIQ vs. Tkrzw

System Properties Comparison Hive vs. InfluxDB vs. TDengine vs. TempoIQ vs. Tkrzw

Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonInfluxDB  Xexclude from comparisonTDengine  Xexclude from comparisonTempoIQ infoformerly TempoDB  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
TempoIQ seems to be decommissioned. It will be removed from the DB-Engines ranking.
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopDBMS for storing time series, events and metricsTime Series DBMS and big data platformScalable analytics DBMS for sensor data, provided as a service (SaaS)A concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelRelational DBMSTime Series DBMSTime Series DBMSTime Series DBMSKey-value store
Secondary database modelsSpatial DBMS infowith GEO packageRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score24.39
Rank#28  Overall
#1  Time Series DBMS
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Score0.07
Rank#372  Overall
#57  Key-value stores
Websitehive.apache.orgwww.influxdata.com/­products/­influxdb-overviewgithub.com/­taosdata/­TDengine
tdengine.com
tempoiq.com (offline)dbmx.net/­tkrzw
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.influxdata.com/­influxdbdocs.tdengine.com
DeveloperApache Software Foundation infoinitially developed by FacebookTDEngine, previously Taos DataTempoIQMikio Hirabayashi
Initial release20122013201920122020
Current release3.1.3, April 20222.7.6, April 20243.0, August 20220.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoMIT-License; commercial enterprise version availableOpen Source infoAGPL V3, also commercial editions availablecommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoCC++
Server operating systemsAll OS with a Java VMLinux
OS X infothrough Homebrew
Linux
Windows
Linux
macOS
Data schemeyesschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesNumeric data and Stringsyesyesno
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.nononono
Secondary indexesyesnono
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query languageStandard SQL with extensions for time-series applicationsnono
APIs and other access methodsJDBC
ODBC
Thrift
HTTP API
JSON over UDP
JDBC
RESTful HTTP API
HTTP API
Supported programming languagesC++
Java
PHP
Python
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
C#
Java
JavaScript infoNode.js
Python
Ruby
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenononono
Triggersnonoyes, via alarm monitoringyes infoRealtime Alertsno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoin enterprise version onlyShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factor infoin enterprise version onlyyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoDepending on used storage enginenoyes infousing specific database classes
User concepts infoAccess controlAccess rights for users, groups and rolessimple rights management via user accountsyessimple authentication-based access controlno
More information provided by the system vendor
HiveInfluxDBTDengineTempoIQ infoformerly TempoDBTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
TDengineā„¢ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
High Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
TDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
TDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
TDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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