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DBMS > InfluxDB vs. Milvus vs. NSDb vs. OpenQM

System Properties Comparison InfluxDB vs. Milvus vs. NSDb vs. OpenQM

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Editorial information provided by DB-Engines
NameInfluxDB  Xexclude from comparisonMilvus  Xexclude from comparisonNSDb  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparison
DescriptionDBMS for storing time series, events and metricsA DBMS designed for efficient storage of vector data and vector similarity searchesScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesQpenQM is a high-performance, self-tuning, multi-value DBMS
Primary database modelTime Series DBMSVector DBMSTime Series DBMSMultivalue DBMS
Secondary database modelsSpatial DBMS infowith GEO package
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score22.12
Rank#28  Overall
#1  Time Series DBMS
Score3.01
Rank#89  Overall
#4  Vector DBMS
Score0.00
Rank#385  Overall
#40  Time Series DBMS
Score0.28
Rank#291  Overall
#10  Multivalue DBMS
Websitewww.influxdata.com/­products/­influxdb-overviewmilvus.ionsdb.iowww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qm
Technical documentationdocs.influxdata.com/­influxdbmilvus.io/­docs/­overview.mdnsdb.io/­Architecture
DeveloperRocket Software, originally Martin Phillips
Initial release2013201920171993
Current release2.7.6, April 20242.4.4, May 20243.4-12
License infoCommercial or Open SourceOpen Source infoMIT-License; commercial enterprise version availableOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoGPLv2, extended commercial license 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 languageGoC++, GoJava, Scala
Server operating systemsLinux
OS X infothrough Homebrew
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
macOS
AIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Data schemeschema-freeyes infowith some exceptions
Typing infopredefined data types such as float or dateNumeric data and StringsVector, Numeric and Stringyes: int, bigint, decimal, string
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.nononoyes
Secondary indexesnonoall fields are automatically indexedyes
SQL infoSupport of SQLSQL-like query languagenoSQL-like query languageno
APIs and other access methodsHTTP API
JSON over UDP
RESTful HTTP APIgRPC
HTTP REST
WebSocket
Supported programming languages.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
Java
Scala
.Net
Basic
C
Java
Objective C
PHP
Python
Server-side scripts infoStored proceduresnononoyes
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoin enterprise version onlyShardingShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoin enterprise version onlyyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesUsing Apache Luceneyes
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 accountsRole based access control and fine grained access rightsAccess rights can be defined down to the item level
More information provided by the system vendor
InfluxDBMilvusNSDbOpenQM infoalso called QM
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

Real-Time Visualization for IIoT Data
24 September 2024

Deploying InfluxDB and Telegraf to Monitor Kubernetes
17 September 2024

Telegraf 1.32 Release Notes
13 September 2024

An Introductory Guide to Cloud Security for IIoT
12 September 2024

Building Real-Time Android Apps with InfluxDB Cloud: Data Logging, Querying, and Visualization
10 September 2024

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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
InfluxDBMilvusNSDbOpenQM infoalso called QM
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

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Vector databases
2 June 2023, Matthias Gelbmann

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Recent citations in the news

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

InfluxData avoids ’AI magic beans’ in InfluxDB time series database update for enterprises
4 September 2024, VentureBeat

InfluxData makes performance, storage improvements to InfluxDB 3.0
4 September 2024, InfoWorld

InfluxData's Latest Updates Optimize Time Series Data for Better Performance, Scale and Management
19 September 2024, Integration Developers

InfluxData Brings Higher Performance and New Features to InfluxDB 3.0 to Power Massive Time Series Workloads at Scale
4 September 2024, businesswire.com

provided by Google News

AI-Powered Search Engine With Milvus Vector Database on Vultr - SitePoint
30 August 2024, SitePoint

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

IBM watsonx.data’s integrated vector database: unify, prepare, and deliver your data for AI
9 April 2024, ibm.com

10 top vector database options for similarity searches
8 August 2024, TechTarget

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

provided by Google News



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