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DBMS > GreptimeDB vs. Hive vs. InfluxDB vs. MySQL

System Properties Comparison GreptimeDB vs. Hive vs. InfluxDB vs. MySQL

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Editorial information provided by DB-Engines
NameGreptimeDB  Xexclude from comparisonHive  Xexclude from comparisonInfluxDB  Xexclude from comparisonMySQL  Xexclude from comparison
DescriptionAn open source Time Series DBMS built for increased scalability, high performance and efficiencydata warehouse software for querying and managing large distributed datasets, built on HadoopDBMS for storing time series, events and metricsWidely used open source RDBMS
Primary database modelTime Series DBMSRelational DBMSTime Series DBMSRelational DBMS infoKey/Value like access via memcached API
Secondary database modelsSpatial DBMS infowith GEO packageDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#352  Overall
#33  Time Series DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score25.83
Rank#28  Overall
#1  Time Series DBMS
Score1083.74
Rank#2  Overall
#2  Relational DBMS
Websitegreptime.comhive.apache.orgwww.influxdata.com/­products/­influxdb-overviewwww.mysql.com
Technical documentationdocs.greptime.comcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.influxdata.com/­influxdbdev.mysql.com/­doc
DeveloperGreptime Inc.Apache Software Foundation infoinitially developed by FacebookOracle infosince 2010, originally MySQL AB, then Sun
Initial release2022201220131995
Current release3.1.3, April 20222.7.6, April 20248.4.0, April 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2Open Source infoMIT-License; commercial enterprise version availableOpen Source infoGPL version 2. Commercial licenses with extended functionallity are available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Aiven for MySQL: Fully managed MySQL, deployable in the cloud of your choice, with seamless integrations and lightning-fast setup.
Implementation languageRustJavaGoC and C++
Server operating systemsAndroid
Docker
FreeBSD
Linux
macOS
Windows
All OS with a Java VMLinux
OS X infothrough Homebrew
FreeBSD
Linux
OS X
Solaris
Windows
Data schemeschema-free, schema definition possibleyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesNumeric data and Stringsyes
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.nonoyes
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyesSQL-like DML and DDL statementsSQL-like query languageyes infowith proprietary extensions
APIs and other access methodsgRPC
HTTP API
JDBC
JDBC
ODBC
Thrift
HTTP API
JSON over UDP
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesC++
Erlang
Go
Java
JavaScript
C++
Java
PHP
Python
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresPythonyes infouser defined functions and integration of map-reducenoyes infoproprietary syntax
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoin enterprise version onlyhorizontal partitioning, sharding with MySQL Cluster or MySQL Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factor infoin enterprise version onlyMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID infonot for MyISAM storage engine
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
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.yes infoDepending on used storage engineyes
User concepts infoAccess controlSimple rights management via user accountsAccess rights for users, groups and rolessimple rights management via user accountsUsers with fine-grained authorization concept infono user groups or roles
More information provided by the system vendor
GreptimeDBHiveInfluxDBMySQL
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
InfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more
Time to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
IoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
InfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
Fastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more
Open source core with closed source clustering available either on-premise or on...
» more
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