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DBMS > Microsoft Azure Synapse Analytics vs. Milvus vs. RDF4J vs. searchxml vs. VictoriaMetrics

System Properties Comparison Microsoft Azure Synapse Analytics vs. Milvus vs. RDF4J vs. searchxml vs. VictoriaMetrics

Editorial information provided by DB-Engines
NameMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonMilvus  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonsearchxml  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerA DBMS designed for efficient storage of vector data and vector similarity searchesRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.DBMS for structured and unstructured content wrapped with an application serverA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelRelational DBMSVector DBMSRDF storeNative XML DBMS
Search engine
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Score0.00
Rank#383  Overall
#7  Native XML DBMS
#25  Search engines
Score1.32
Rank#162  Overall
#14  Time Series DBMS
Websiteazure.microsoft.com/­services/­synapse-analyticsmilvus.iordf4j.orgwww.searchxml.net/­category/­productsvictoriametrics.com
Technical documentationdocs.microsoft.com/­azure/­synapse-analyticsmilvus.io/­docs/­overview.mdrdf4j.org/­documentationwww.searchxml.net/­support/­handoutsdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperMicrosoftSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.informationpartners gmbhVictoriaMetrics
Initial release20162019200420152018
Current release2.3.4, January 20241.0v1.91, May 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoEclipse Distribution License (EDL), v1.0.commercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
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 languageC++C++, GoJavaC++Go
Server operating systemshostedLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
OS X
Unix
Windows
WindowsFreeBSD
Linux
macOS
OpenBSD
Data schemeyesyes infoRDF Schemasschema-free
Typing infopredefined data types such as float or dateyesVector, Numeric and Stringyesyes
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.nonoyesno
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyesnononono
APIs and other access methodsADO.NET
JDBC
ODBC
RESTful HTTP APIJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
RESTful HTTP API
WebDAV
XQuery
XSLT
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesC#
Java
PHP
C++
Go
Java
JavaScript (Node.js)
Python
Java
PHP
Python
C++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresTransact SQLnoyesyes infoon the application serverno
Triggersnonoyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneyes infosychronisation to multiple collectionsSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infoIsolation support depends on the API usedmultiple readers, single writerno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoin-memory storage is supported as wellyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlyesRole based access control and fine grained access rightsnoDomain, group and role-based access control at the document level and for application services
More information provided by the system vendor
Microsoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseMilvusRDF4J infoformerly known as SesamesearchxmlVictoriaMetrics
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
Microsoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseMilvusRDF4J infoformerly known as SesamesearchxmlVictoriaMetrics
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