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DBMS > Amazon DocumentDB vs. EJDB vs. MarkLogic vs. Milvus

System Properties Comparison Amazon DocumentDB vs. EJDB vs. MarkLogic vs. Milvus

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonEJDB  Xexclude from comparisonMarkLogic  Xexclude from comparisonMilvus  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Operational and transactional Enterprise NoSQL databaseA DBMS designed for efficient storage of vector data and vector similarity searches
Primary database modelDocument storeDocument storeDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score0.31
Rank#296  Overall
#44  Document stores
Score5.18
Rank#63  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#7  Search engines
Score2.78
Rank#103  Overall
#4  Vector DBMS
Websiteaws.amazon.com/­documentdbgithub.com/­Softmotions/­ejdbwww.progress.com/­marklogicmilvus.io
Technical documentationaws.amazon.com/­documentdb/­resourcesgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdwww.progress.com/­marklogic/­documentationmilvus.io/­docs/­overview.md
DeveloperSoftmotionsMarkLogic Corp.
Initial release2019201220012019
Current release11.0, December 20222.4.4, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoGPLv2commercial inforestricted free version is availableOpen 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 languageCC++C++, Go
Server operating systemshostedserver-lessLinux
OS X
Windows
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Data schemeschema-freeschema-freeschema-free infoSchema can be enforced
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, bool, date, object_idyesVector, 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.noyesno
Secondary indexesyesnoyesno
SQL infoSupport of SQLnonoyes infoSQL92no
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)in-process shared libraryJava API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
RESTful HTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonoyes infovia XQuery or JavaScriptno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsno
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 possibleno infotypically not needed, however similar functionality with collection joins possiblenono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnoACID infocan act as a resource manager in an XA/JTA transactionno
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write Lockingyesyes
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.yes, with Range Indexesyes
User concepts infoAccess controlAccess rights for users and rolesnoRole-based access control at the document and subdocument levelsRole based access control and fine grained access rights
More information provided by the system vendor
Amazon DocumentDBEJDBMarkLogicMilvus
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 DocumentDBEJDBMarkLogicMilvus
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