DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Badger vs. InfluxDB vs. Lovefield vs. Milvus vs. Rockset

System Properties Comparison Badger vs. InfluxDB vs. Lovefield vs. Milvus vs. Rockset

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonInfluxDB  Xexclude from comparisonLovefield  Xexclude from comparisonMilvus  Xexclude from comparisonRockset  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.DBMS for storing time series, events and metricsEmbeddable relational database for web apps written in pure JavaScriptA DBMS designed for efficient storage of vector data and vector similarity searchesA scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelKey-value storeTime Series DBMSRelational DBMSVector DBMSDocument store
Secondary database modelsSpatial DBMS infowith GEO packageRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.25
Rank#315  Overall
#46  Key-value stores
Score26.89
Rank#28  Overall
#1  Time Series DBMS
Score0.35
Rank#286  Overall
#131  Relational DBMS
Score1.70
Rank#150  Overall
#5  Vector DBMS
Score1.01
Rank#201  Overall
#35  Document stores
Websitegithub.com/­dgraph-io/­badgerwww.influxdata.com/­products/­influxdb-overviewgoogle.github.io/­lovefieldmilvus.iorockset.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.influxdata.com/­influxdbgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdmilvus.io/­docs/­overview.mddocs.rockset.com
DeveloperDGraph LabsGoogleRockset
Initial release20172013201420192019
Current release2.7.5, January 20242.1.12, February 20172.3.4, January 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoMIT-License; commercial enterprise version availableOpen Source infoApache 2.0Open Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
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 languageGoGoJavaScriptC++, GoC++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
OS X infothrough Homebrew
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
hosted
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or datenoNumeric data and StringsyesVector, Numeric and Stringdynamic typing
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.nonononono infoingestion from XML files supported
Secondary indexesnonoyesnoall fields are automatically indexed
SQL infoSupport of SQLnoSQL-like query languageSQL-like query language infovia JavaScript builder patternnoRead-only SQL queries, including JOINs
APIs and other access methodsHTTP API
JSON over UDP
RESTful HTTP APIHTTP REST
Supported programming languagesGo.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
JavaScriptC++
Go
Java
JavaScript (Node.js)
Python
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonononono
TriggersnonoUsing read-only observersnono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoin enterprise version onlynoneShardingAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor infoin enterprise version onlynoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Eventual Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes
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 infousing MemoryDByes
User concepts infoAccess controlnosimple rights management via user accountsnoRole based access control and fine grained access rightsAccess rights for users and organizations can be defined via Rockset console
More information provided by the system vendor
BadgerInfluxDBLovefieldMilvusRockset
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
News

Time Series, InfluxDB, and Vector Databases
26 March 2024

Machine Learning and Infrastructure Monitoring: Tools and Justification
20 March 2024

Making Most Recent Value Queries Hundreds of Times Faster
18 March 2024

Telegraf 1.30 Release Notes
15 March 2024

Tale of the Tape: Data Historians vs Time Series Databases
13 March 2024

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
BadgerInfluxDBLovefieldMilvusRockset
DB-Engines blog posts

Why Build a Time Series Data Platform?
20 July 2017, Paul Dix (guest author)

Time Series DBMS are the database category with the fastest increase in popularity
4 July 2016, Matthias Gelbmann

Time Series DBMS as a new trend?
1 June 2015, Paul Andlinger

show all

Vector databases
2 June 2023, Matthias Gelbmann

show all

Recent citations in the news

Run and manage open source InfluxDB databases with Amazon Timestream | Amazon Web Services
14 March 2024, AWS Blog

Amazon Timestream: Managed InfluxDB for Time Series Data
14 March 2024, The New Stack

How the FDAP Stack Gives InfluxDB 3.0 Real-Time Speed, Efficiency
15 March 2024, Datanami

InfluxData Collaborating with AWS to Bring InfluxDB and Time Series Analytics to Developers Around the World
15 March 2024, Business Wire

How Apache Arrow accelerates InfluxDB
21 November 2023, InfoWorld

provided by Google News

How NVIDIA GPU Acceleration Supercharged Milvus Vector Database
26 March 2024, The New Stack

AI-Powered Search Engine With Milvus Vector Database on Vultr
31 January 2024, SitePoint

Milvus 2.4 Unveils Game-Changing Features for Enhanced Vector Search
20 March 2024, GlobeNewswire

Zilliz Unveils Game-Changing Features for Vector Search
22 March 2024, Datanami

Zilliz Cloud boosts vector database performance
31 January 2024, InfoWorld

provided by Google News

Honing business data with AI real-time analytics
14 March 2024, SiliconANGLE News

Rockset lands $44M to power real-time search and analytics apps
29 August 2023, TechCrunch

Rockset targets cost control with latest database update
31 January 2024, TechTarget

Rockset Primes Database for Massive Vector Serving
20 November 2023, Datanami

Rockset Releases New Instance Class, Gains Momentum as the Search and Analytics Database Built for the Cloud
31 January 2024, GlobeNewswire

provided by Google News



Share this page

Featured Products

SingleStore logo

The database to transact, analyze and contextualize your data in real time.
Try it today.

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Ontotext logo

GraphDB allows you to link diverse data, index it for semantic search and enrich it via text analysis to build big knowledge graphs. Get it free.

Present your product here