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DBMS > Badger vs. InfluxDB vs. Milvus vs. Vitess

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

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonInfluxDB  Xexclude from comparisonMilvus  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 metricsA DBMS designed for efficient storage of vector data and vector similarity searchesScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelKey-value storeTime Series DBMSVector 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
Score0.20
Rank#325  Overall
#49  Key-value stores
Score26.56
Rank#28  Overall
#1  Time Series DBMS
Score1.81
Rank#144  Overall
#5  Vector DBMS
Score1.04
Rank#191  Overall
#89  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerwww.influxdata.com/­products/­influxdb-overviewmilvus.iovitess.io
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.influxdata.com/­influxdbmilvus.io/­docs/­overview.mdvitess.io/­docs
DeveloperDGraph LabsThe Linux Foundation, PlanetScale
Initial release2017201320192013
Current release2.7.6, April 20242.3.4, January 202415.0.2, December 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoMIT-License; commercial enterprise version availableOpen Source infoApache Version 2.0Open 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.
Zilliz Cloud – Cloud-native service for Milvus
Implementation languageGoGoC++, GoGo
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
OS X infothrough Homebrew
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Docker
Linux
macOS
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or datenoNumeric data and StringsVector, Numeric and Stringyes
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 indexesnononoyes
SQL infoSupport of SQLnoSQL-like query languagenoyes infowith proprietary extensions
APIs and other access methodsHTTP API
JSON over UDP
RESTful HTTP APIADO.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++
Go
Java
JavaScript (Node.js)
Python
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 proceduresnononoyes infoproprietary syntax
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoin enterprise version onlyShardingSharding
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 systemnoneBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Eventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynononoyes 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 accountsRole based access control and fine grained access rightsUsers with fine-grained authorization concept infono user groups or roles
More information provided by the system vendor
BadgerInfluxDBMilvusVitess
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Milvus is an open-source and cloud-native vector database built for production-ready...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Highly available, versatile, and robust with millisecond latency. Supports batch...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
RAG: retrieval augmented generation Video media : video understanding, video deduplication....
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Milvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
As of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
Milvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
BadgerInfluxDBMilvusVitess
DB-Engines blog posts

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