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DBMS > Apache Doris vs. GreptimeDB vs. InfluxDB vs. Vitess

System Properties Comparison Apache Doris vs. GreptimeDB vs. InfluxDB vs. Vitess

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Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonGreptimeDB  Xexclude from comparisonInfluxDB  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolAn open source Time Series DBMS built for increased scalability, high performance and efficiencyDBMS for storing time series, events and metricsScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelRelational DBMSTime Series DBMSTime Series DBMSRelational DBMS
Secondary database modelsSpatial DBMS infowith GEO packageDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.60
Rank#247  Overall
#113  Relational DBMS
Score0.12
Rank#351  Overall
#34  Time Series DBMS
Score24.39
Rank#28  Overall
#1  Time Series DBMS
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websitedoris.apache.org
github.com/­apache/­doris
greptime.comwww.influxdata.com/­products/­influxdb-overviewvitess.io
Technical documentationgithub.com/­apache/­doris/­wikidocs.greptime.comdocs.influxdata.com/­influxdbvitess.io/­docs
DeveloperApache Software Foundation, originally contributed from BaiduGreptime Inc.The Linux Foundation, PlanetScale
Initial release2017202220132013
Current release1.2.2, February 20232.7.6, April 202415.0.2, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoMIT-License; commercial enterprise version availableOpen Source infoApache Version 2.0, commercial licenses 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 languageJavaRustGoGo
Server operating systemsLinuxAndroid
Docker
FreeBSD
Linux
macOS
Windows
Linux
OS X infothrough Homebrew
Docker
Linux
macOS
Data schemeyesschema-free, schema definition possibleschema-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.nonono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyesyesSQL-like query languageyes infowith proprietary extensions
APIs and other access methodsJDBC
MySQL client
gRPC
HTTP API
JDBC
HTTP API
JSON over UDP
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesJavaC++
Erlang
Go
Java
JavaScript
.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 proceduresuser defined functionsPythonnoyes infoproprietary syntax
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingSharding infoin enterprise version onlySharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor infoin enterprise version onlyMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynonoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID at shard level
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.noyes infoDepending on used storage engineyes
User concepts infoAccess controlfine grained access rights according to SQL-standardSimple rights management via user accountssimple rights management via user accountsUsers with fine-grained authorization concept infono user groups or roles
More information provided by the system vendor
Apache DorisGreptimeDBInfluxDBVitess
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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More resources
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