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DBMS > Amazon DocumentDB vs. Dolt vs. H2 vs. Milvus

System Properties Comparison Amazon DocumentDB vs. Dolt vs. H2 vs. Milvus

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonDolt  Xexclude from comparisonH2  Xexclude from comparisonMilvus  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceA MySQL compatible DBMS with Git-like versioning of data and schemaFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.A DBMS designed for efficient storage of vector data and vector similarity searches
Primary database modelDocument storeRelational DBMSRelational DBMSVector DBMS
Secondary database modelsDocument storeSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.80
Rank#148  Overall
#25  Document stores
Score0.98
Rank#203  Overall
#93  Relational DBMS
Score8.14
Rank#50  Overall
#32  Relational DBMS
Score1.70
Rank#150  Overall
#5  Vector DBMS
Websiteaws.amazon.com/­documentdbgithub.com/­dolthub/­dolt
www.dolthub.com
www.h2database.commilvus.io
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.dolthub.comwww.h2database.com/­html/­main.htmlmilvus.io/­docs/­overview.md
DeveloperDoltHub IncThomas Mueller
Initial release2019201820052019
Current release2.2.220, July 20232.3.4, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
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 languageGoJavaC++, Go
Server operating systemshostedLinux
macOS
Windows
All OS with a Java VMLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Data schemeschema-freeyesyes
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.nononono
Secondary indexesyesyesyesno
SQL infoSupport of SQLnoyesyesno
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)CLI Client
HTTP REST
JDBC
ODBC
RESTful HTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
JavaC++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyes infocurrently in alpha releaseJava Stored Procedures and User-Defined Functionsno
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesnonenonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasA database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.With clustering: 2 database servers on different computers operate on identical copies of a database
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
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.yesyes
User concepts infoAccess controlAccess rights for users and rolesOnly one user is configurable, and must be specified in the config file at startupfine grained access rights according to SQL-standardRole based access control and fine grained access rights
More information provided by the system vendor
Amazon DocumentDBDoltH2Milvus
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
Amazon DocumentDBDoltH2Milvus
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