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DBMS > Badger vs. InfluxDB vs. Kdb vs. Vitess

System Properties Comparison Badger vs. InfluxDB vs. Kdb vs. Vitess

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonInfluxDB  Xexclude from comparisonKdb  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.DBMS for storing time series, events and metricsHigh performance Time Series DBMSScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelKey-value storeTime Series DBMSTime Series DBMS
Vector DBMS
Relational DBMS
Secondary database modelsSpatial DBMS infowith GEO packageRelational DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#328  Overall
#48  Key-value stores
Score22.12
Rank#28  Overall
#1  Time Series DBMS
Score7.73
Rank#45  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score0.86
Rank#202  Overall
#95  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerwww.influxdata.com/­products/­influxdb-overviewkx.comvitess.io
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.influxdata.com/­influxdbcode.kx.comvitess.io/­docs
DeveloperDGraph LabsKx Systems, a division of First Derivatives plcThe Linux Foundation, PlanetScale
Initial release201720132000 infokdb was released 2000, kdb+ in 20032013
Current release2.7.6, April 20243.6, May 201815.0.2, December 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoMIT-License; commercial enterprise version availablecommercial infofree 32-bit versionOpen 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 languageGoGoqGo
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
OS X infothrough Homebrew
Linux
OS X
Solaris
Windows
Docker
Linux
macOS
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or datenoNumeric data and Stringsyesyes
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 indexesnonoyes infotable attribute 'grouped'yes
SQL infoSupport of SQLnoSQL-like query languageSQL-like query language (q)yes infowith proprietary extensions
APIs and other access methodsHTTP API
JSON over UDP
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesGo.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
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 proceduresnonouser defined functionsyes infoproprietary syntax
Triggersnonoyes infowith viewsyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoin enterprise version onlyhorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor infoin enterprise version onlySource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infosimilar paradigm used for internal processingno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynonoyesyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID 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 engineyesyes
User concepts infoAccess controlnosimple rights management via user accountsrights management via user accountsUsers with fine-grained authorization concept infono user groups or roles
More information provided by the system vendor
BadgerInfluxDBKdbVitess
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Integrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
provides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
tick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Goldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
kdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
upon request
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

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More resources
BadgerInfluxDBKdbVitess
DB-Engines blog posts

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