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DBMS > AntDB vs. H2 vs. Hazelcast vs. Milvus

System Properties Comparison AntDB vs. H2 vs. Hazelcast vs. Milvus

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Editorial information provided by DB-Engines
NameAntDB  Xexclude from comparisonH2  Xexclude from comparisonHazelcast  Xexclude from comparisonMilvus  Xexclude from comparison
DescriptionA scalable, multi-tenant, MPP-architectured RDBMS for OLTP and OLAP operations, highly compatible with OracleFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.A widely adopted in-memory data gridA DBMS designed for efficient storage of vector data and vector similarity searches
Primary database modelRelational DBMSRelational DBMSKey-value storeVector DBMS
Secondary database modelsSpatial DBMSDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.25
Rank#303  Overall
#137  Relational DBMS
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score5.97
Rank#57  Overall
#6  Key-value stores
Score2.31
Rank#113  Overall
#3  Vector DBMS
Websitewww.asiainfo.com/­en_us/­product_aisware_antdb_detail.htmlwww.h2database.comhazelcast.commilvus.io
Technical documentationwww.h2database.com/­html/­main.htmlhazelcast.org/­imdg/­docsmilvus.io/­docs/­overview.md
Social network pagesLinkedInTwitterFacebook
DeveloperAsiaInfo Technologies LimitedThomas MuellerHazelcast
Initial release200520082019
Current release2.2.220, July 20235.3.6, November 20232.3.4, January 2024
License infoCommercial or Open SourcecommercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache Version 2; commercial licenses availableOpen Source infoApache Version 2.0
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 languageJavaJavaC++, Go
Server operating systemsAll OS with a Java VMAll OS with a Java VMLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesVector, Numeric and 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.noyes infothe object must implement a serialization strategyno
Secondary indexesyesyesyesno
SQL infoSupport of SQLSQL2016 compliantyesSQL-like query languageno
APIs and other access methodsJDBC
MySQL protocol compliant
ODBC
JDBC
ODBC
JCache
JPA
Memcached protocol
RESTful HTTP API
RESTful HTTP API
Supported programming languagesJava.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresJava Stored Procedures and User-Defined Functionsyes infoEvent Listeners, Executor Servicesno
Triggersyesyesyes infoEventsno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesWith clustering: 2 database servers on different computers operate on identical copies of a databaseyes infoReplicated Map
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDone or two-phase-commit; repeatable reads; read commitedno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
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.yesyesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardRole-based access controlRole based access control and fine grained access rights
More information provided by the system vendor
AntDBH2HazelcastMilvus
Specific characteristicsAntDB was initiated in 2008. On the core system of operators, AntDB provides online...
» more
Milvus is an open-source and cloud-native vector database built for production-ready...
» more
Competitive advantagesHTAP mixed load: AntDB is a universal, enterprise-level distributed relational database,...
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Highly available, versatile, and robust with millisecond latency. Supports batch...
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Typical application scenariosAs the core software of large enterprise, AntDB supports multi-scenario deployment....
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RAG: retrieval augmented generation Video media : video understanding, video deduplication....
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Key customersChina Mobile, China Telecom, China Unicom, Aeon Life, China Mobile Tietong, CITIC...
» more
Milvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» more
Market metricsMore than 1 billion subscribers in 24 provinces across China are served by AntDB...
» more
As of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
» more
Licensing and pricing modelsCertificates and licenses CMMI5 Certificate licensed by CMMI Institute IT Product...
» more
Milvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» more

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More resources
AntDBH2HazelcastMilvus
DB-Engines blog posts

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