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DBMS > Amazon DocumentDB vs. Apache Jena - TDB vs. Microsoft Azure Synapse Analytics vs. Milvus

System Properties Comparison Amazon DocumentDB vs. Apache Jena - TDB vs. Microsoft Azure Synapse Analytics vs. Milvus

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonApache Jena - TDB  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonMilvus  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceA RDF storage and query DBMS, shipped as an optional-use component of the Apache Jena frameworkElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerA DBMS designed for efficient storage of vector data and vector similarity searches
Primary database modelDocument storeRDF storeRelational DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score3.75
Rank#84  Overall
#3  RDF stores
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score2.31
Rank#113  Overall
#3  Vector DBMS
Websiteaws.amazon.com/­documentdbjena.apache.org/­documentation/­tdb/­index.htmlazure.microsoft.com/­services/­synapse-analyticsmilvus.io
Technical documentationaws.amazon.com/­documentdb/­resourcesjena.apache.org/­documentation/­tdb/­index.htmldocs.microsoft.com/­azure/­synapse-analyticsmilvus.io/­docs/­overview.md
DeveloperApache Software Foundation infooriginally developed by HP LabsMicrosoft
Initial release2019200020162019
Current release4.9.0, July 20232.3.4, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache License, Version 2.0commercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
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++C++, Go
Server operating systemshostedAll OS with a Java VMhostedLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Data schemeschema-freeyes infoRDF Schemasyes
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.nonono
Secondary indexesyesyesyesno
SQL infoSupport of SQLnonoyesno
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)Fuseki infoREST-style SPARQL HTTP Interface
Jena RDF API
RIO infoRDF Input/Output
ADO.NET
JDBC
ODBC
RESTful HTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
JavaC#
Java
PHP
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyesTransact SQLno
Triggersnoyes infovia event handlernono
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding, horizontal partitioningSharding
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)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 possibleno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACID infoTDB TransactionsACIDno
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.yes
User concepts infoAccess controlAccess rights for users and rolesAccess control via Jena SecurityyesRole based access control and fine grained access rights
More information provided by the system vendor
Amazon DocumentDBApache Jena - TDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseMilvus
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 DocumentDBApache Jena - TDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseMilvus
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