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 > Amazon Neptune vs. Milvus

System Properties Comparison Amazon Neptune vs. Milvus

Please select another system to include it in the comparison.

Our visitors often compare Amazon Neptune and Milvus with Elasticsearch, PostgreSQL and MongoDB.

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonMilvus  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudA DBMS designed for efficient storage of vector data and vector similarity searches
Primary database modelGraph DBMS
RDF store
Multivalue DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.42
Rank#114  Overall
#8  Graph DBMS
#5  RDF stores
Score0.26
Rank#277  Overall
#11  Multivalue DBMS
Websiteaws.amazon.com/­neptunemilvus.io
Technical documentationaws.amazon.com/­neptune/­developer-resourcesmilvus.io/­docs/­overview.md
DeveloperAmazon
Initial release20172019
Current release1.0, March 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++
Server operating systemshostedLinux
Data schemeschema-free
Typing infopredefined data types such as float or dateyesNumeric data only
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.nono
Secondary indexesnono
SQL infoSupport of SQLnono
APIs and other access methodsRDF 1.1 / SPARQL 1.1
TinkerPop Gremlin 3.3
RESTful HTTP API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C++
Go
Java
Python
Server-side scripts infoStored proceduresnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones high availability, asynchronous replication for up to 15 read replicas
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)no

More information provided by the system vendor

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
Amazon NeptuneMilvus
Recent citations in the news

Amazon Neptune update: Machine learning, data science, and the future of graph databases
30 July 2021, ZDNet

Neo4j delivers Graph database globally on AWS -
24 August 2021, Enterprise Times

What Is Graph Analytics & Its Top Tools
15 September 2021, Analytics India Magazine

Catching up with Amazon Neptune
26 November 2019, ZDNet

Looking under the hood at Amazon Neptune
5 April 2018, ZDNet

provided by Google News

What Is Vector Similarity Search? | Business Applications of Vector Search
11 August 2021, CIO Insight

Milvus, the AI Search Engine, Originally Developed by Zilliz Joins LF AI as New Incubation Project
10 April 2020, PRNewswire

5 AI startups leading MLops
21 June 2021, InfoWorld

Zilliz Raises $43M to Build AI-powered Unstructured Data
16 November 2020, GlobeNewswire

LF AI & Data gets new incubator projects to simplify distributed learning • DEVCLASS
20 July 2021, DevClass

provided by Google News

Job opportunities

Neptune Specialist SA
Amazon Web Services, Inc., Seattle, WA

Amazon Neptune, Product Leader
Amazon Dev Center U.S., Inc., Seattle, WA

Senior Software Engineer for Query Planning and Optimization, Amazon Neptune
Amazon Dev Center U.S., Inc., San Diego, CA

Front End Engineer: Amazon Neptune Workbench
Amazon Dev Center U.S., Inc., Seattle, WA

Senior Machine Learning Engineer, Content Knowledge Graph
Netflix, Los Angeles, CA

jobs by Indeed



Share this page

Featured Products

MariaDB logo

SkySQL, the ultimate
MariaDB cloud, is here.

Get started with SkySQL today!

Couchbase logo

The modern database for enterprise applications. Build fast. Scale Big. Save more.
Get started today.

Datastax Astra logo

Build cloud-native apps fast with Astra, the open-source, multi-cloud stack for
modern data apps.
Get started with 5 GB free..

Neo4j logo

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

Vertica logo

The fastest unified analytical warehouse at extreme scale with in-database machine learning. Try Vertica for free with no time limit.

Present your product here