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DBMS > Microsoft Azure Synapse Analytics vs. Milvus vs. searchxml vs. TimesTen

System Properties Comparison Microsoft Azure Synapse Analytics vs. Milvus vs. searchxml vs. TimesTen

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Editorial information provided by DB-Engines
NameMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonMilvus  Xexclude from comparisonsearchxml  Xexclude from comparisonTimesTen  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 searchesDBMS for structured and unstructured content wrapped with an application serverIn-Memory RDBMS compatible to Oracle
Primary database modelRelational DBMSVector DBMSNative XML DBMS
Search engine
Relational 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
Score0.00
Rank#383  Overall
#7  Native XML DBMS
#25  Search engines
Score1.31
Rank#163  Overall
#74  Relational DBMS
Websiteazure.microsoft.com/­services/­synapse-analyticsmilvus.iowww.searchxml.net/­category/­productswww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationdocs.microsoft.com/­azure/­synapse-analyticsmilvus.io/­docs/­overview.mdwww.searchxml.net/­support/­handoutsdocs.oracle.com/­database/­timesten-18.1
DeveloperMicrosoftinformationpartners gmbhOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release2016201920151998
Current release2.3.4, January 20241.011 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialcommercial
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 languageC++C++, GoC++
Server operating systemshostedLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
WindowsAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeyesschema-freeyes
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 SQLyesnonoyes
APIs and other access methodsADO.NET
JDBC
ODBC
RESTful HTTP APIRESTful HTTP API
WebDAV
XQuery
XSLT
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesC#
Java
PHP
C++
Go
Java
JavaScript (Node.js)
Python
C++ infomost other programming languages supported via APIsC
C++
Java
PL/SQL
Server-side scripts infoStored proceduresTransact SQLnoyes infoon the application serverPL/SQL
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infosychronisation to multiple collectionsMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnomultiple readers, single writerACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlyesRole based access control and fine grained access rightsDomain, group and role-based access control at the document level and for application servicesfine grained access rights according to SQL-standard
More information provided by the system vendor
Microsoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseMilvussearchxmlTimesTen
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 WarehouseMilvussearchxmlTimesTen
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