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DBMS > Hazelcast vs. Milvus vs. OpenQM vs. YDB

System Properties Comparison Hazelcast vs. Milvus vs. OpenQM vs. YDB

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Editorial information provided by DB-Engines
NameHazelcast  Xexclude from comparisonMilvus  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonYDB  Xexclude from comparison
DescriptionA widely adopted in-memory data gridA DBMS designed for efficient storage of vector data and vector similarity searchesQpenQM is a high-performance, self-tuning, multi-value DBMSA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelKey-value storeVector DBMSMultivalue DBMSDocument store
Relational DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.46
Rank#61  Overall
#7  Key-value stores
Score2.78
Rank#103  Overall
#3  Vector DBMS
Score0.34
Rank#284  Overall
#10  Multivalue DBMS
Score0.33
Rank#287  Overall
#43  Document stores
#132  Relational DBMS
Websitehazelcast.commilvus.iowww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmgithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationhazelcast.org/­imdg/­docsmilvus.io/­docs/­overview.mdydb.tech/­en/­docs
DeveloperHazelcastRocket Software, originally Martin PhillipsYandex
Initial release2008201919932019
Current release5.3.6, November 20232.3.4, January 20243.4-12
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache Version 2.0Open Source infoGPLv2, extended commercial license availableOpen Source infoApache 2.0; 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 languageJavaC++, Go
Server operating systemsAll OS with a Java VMLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
AIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Linux
Data schemeschema-freeyes infowith some exceptionsFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesVector, 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.yes infothe object must implement a serialization strategynoyesno
Secondary indexesyesnoyesyes
SQL infoSupport of SQLSQL-like query languagenonoSQL-like query language (YQL)
APIs and other access methodsJCache
JPA
Memcached protocol
RESTful HTTP API
RESTful HTTP APIRESTful HTTP API (DynamoDB compatible)
Supported programming languages.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C++
Go
Java
JavaScript (Node.js)
Python
.Net
Basic
C
Java
Objective C
PHP
Python
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresyes infoEvent Listeners, Executor Servicesnoyesno
Triggersyes infoEventsnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated MapyesActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
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
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataone or two-phase-commit; repeatable reads; read commitednoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesyesno
User concepts infoAccess controlRole-based access controlRole based access control and fine grained access rightsAccess rights can be defined down to the item levelAccess rights defined for Yandex Cloud users
More information provided by the system vendor
HazelcastMilvusOpenQM infoalso called QMYDB
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
» more
Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
» more
Typical application scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
» more
Key customersMilvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» more
Market metricsAs of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
» more
Licensing and pricing modelsMilvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» more

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More resources
HazelcastMilvusOpenQM infoalso called QMYDB
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