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DBMS > Hazelcast vs. Milvus vs. MongoDB

System Properties Comparison Hazelcast vs. Milvus vs. MongoDB

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Editorial information provided by DB-Engines
NameHazelcast  Xexclude from comparisonMilvus  Xexclude from comparisonMongoDB  Xexclude from comparison
DescriptionA widely adopted in-memory data gridA DBMS designed for efficient storage of vector data and vector similarity searchesOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructure
Primary database modelKey-value storeSearch engineDocument store
Secondary database modelsDocument store infoJSON support with IMDG 3.12Spatial DBMS
Search engine infointegrated Lucene index, currently in MongoDB Atlas only.
Time Series DBMS infoTime Series Collections introduced in Release 5.0
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score10.70
Rank#47  Overall
#5  Key-value stores
Score0.37
Rank#264  Overall
#18  Search engines
Score477.66
Rank#5  Overall
#1  Document stores
Websitehazelcast.commilvus.iowww.mongodb.com
Technical documentationhazelcast.org/­imdg/­docsmilvus.io/­docs/­overview.mddocs.mongodb.com/­manual
DeveloperHazelcastMongoDB, Inc
Initial release200820192009
Current release5.1, March 20222.0, January 20226.0.0, July 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache Version 2.0Open Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.
Cloud-based only infoOnly available as a cloud servicenonono infoMongoDB available as DBaaS (MongoDB Atlas)
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++, GoC++
Server operating systemsAll OS with a Java VMLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
OS X
Solaris
Windows
Data schemeschema-freeschema-free infoAlthough schema-free, documents of the same collection often follow the same structure. Optionally impose all or part of a schema by defining a JSON schema.
Typing infopredefined data types such as float or dateyesNumeric and Stringyes infostring, integer, double, decimal, boolean, date, object_id, geospatial
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.yes infothe object must implement a serialization strategyno
Secondary indexesyesnoyes
SQL infoSupport of SQLSQL-like query languagenoRead-only SQL queries via the MongoDB Connector for BI
APIs and other access methodsJCache
JPA
Memcached protocol
RESTful HTTP API
RESTful HTTP APIproprietary protocol using JSON
Supported programming languages.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C++
Go
Java
JavaScript (Node.js)
Python
Actionscript infounofficial driver
C
C#
C++
Clojure infounofficial driver
ColdFusion infounofficial driver
D infounofficial driver
Dart infounofficial driver
Delphi infounofficial driver
Erlang
Go
Groovy infounofficial driver
Haskell
Java
JavaScript
Lisp infounofficial driver
Lua infounofficial driver
MatLab infounofficial driver
Perl
PHP
PowerShell infounofficial driver
Prolog infounofficial driver
Python
R infounofficial driver
Ruby
Rust
Scala
Smalltalk infounofficial driver
Swift
Server-side scripts infoStored proceduresyes infoEvent Listeners, Executor ServicesnoJavaScript
Triggersyes infoEventsnoyes infoin MongoDB Atlas only
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated MapMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Eventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynonono infotypically not used, however similar functionality with DBRef possible
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataone or two-phase-commit; repeatable reads; read commitednoMulti-document ACID Transactions with snapshot isolation
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infooptional, enabled by default
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoIn-memory storage engine introduced with MongoDB version 3.2
User concepts infoAccess controlRole-based access controlnoAccess rights for users and roles
More information provided by the system vendor
HazelcastMilvusMongoDB
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
» more
MongoDB’s application data platform provides developers a unified interface to power...
» more
Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
» more
The MongoDB platform can be used by developers building transactional, operational,...
» more
Typical application scenariosVideo media : video understanding, video deduplication. E-commerce and mobile applications...
» more
Internet of Things and Time Series (Bosch, Jaguar Land Rover) Mobile (The Weather...
» more
Key customersMilvus is trusted by over 1,000 enterprises, including Baidu, eBay, IKEA, LINE, Shopee,...
» more
ADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Market metricsAs of March 2022, 9.8k+ GitHub stars 1.4k+ Github forks 871k+ docker pulls 2k+ community...
» more
200+ million downloads, over 1.5M Atlas database clusters under management handling...
» more
Licensing and pricing modelsMilvus was released under the open-source Apache License 2.0 in October 2019. Managed...
» more
MongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» 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
HazelcastMilvusMongoDB
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Recent citations in the news

Hazelcast launches serverless offering to accelerate real-time applications
28 July 2022, VentureBeat

Hazelcast CEO looks to grow real-time data platform
5 August 2022, TechTarget

Hazelcast Announces a New Unified Platform with Version 5.0
13 December 2021, InfoQ.com

Event Streaming Platform Market Deep Exploration 2022, Competition Analysis, Future Possibilities 2029| Hazelcast, SAS Institute Inc., Amazon
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11 August 2022, TechTarget

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Zilliz Announces Key Contributions to Milvus 2.1, the Leading Open-Source Vector Database for Structured and Unstructured Data
3 August 2022, Business Wire

Database technology evolves to combine machine learning and data storage
7 March 2022, VentureBeat

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

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

The Recommendation System
15 February 2022, News | Europeana Pro

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MongoDB Stock: Current Price Is A Risky Proposition (NASDAQ:MDB)
10 August 2022, Seeking Alpha

Why MongoDB Stock Gained 20% In July
8 August 2022, The Motley Fool

MongoDB, Inc. Announces Date of Second Quarter Fiscal 2023 Earnings Call
11 August 2022, KAIT

2022-08-11 | NDAQ:MDB | Press Release | MongoDB Inc.
11 August 2022, Stockhouse

Temenos Benchmarks Show MongoDB Fit for Banking Work
26 July 2022, thenewstack.io

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