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DBMS > Milvus vs. SAP HANA vs. SpaceTime

System Properties Comparison Milvus vs. SAP HANA vs. SpaceTime

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Editorial information provided by DB-Engines
NameMilvus  Xexclude from comparisonSAP HANA  Xexclude from comparisonSpaceTime  Xexclude from comparison
DescriptionA DBMS designed for efficient storage of vector data and vector similarity searchesIn-memory, column based data store. Available as appliance or cloud serviceSpaceTime is a spatio-temporal DBMS with a focus on performance.
Primary database modelVector DBMSRelational DBMSSpatial DBMS
Secondary database modelsDocument store
Graph DBMS infowith SAP Hana, Enterprise Edition
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.78
Rank#103  Overall
#4  Vector DBMS
Score44.27
Rank#23  Overall
#16  Relational DBMS
Score0.03
Rank#392  Overall
#8  Spatial DBMS
Websitemilvus.iowww.sap.com/­products/­hana.htmlwww.mireo.com/­spacetime
Technical documentationmilvus.io/­docs/­overview.mdhelp.sap.com/­hana
DeveloperSAPMireo
Initial release201920102020
Current release2.4.4, May 20242.0 SPS07 (April 4, 2023), April 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenono infoalso available as a cloud based serviceno
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++, GoC++
Server operating systemsLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Appliance or cloud-serviceLinux
Data schemeyesyes
Typing infopredefined data types such as float or dateVector, 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.nonono
Secondary indexesnoyesno
SQL infoSupport of SQLnoyesA subset of ANSI SQL is implemented
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
RESTful HTTP API
Supported programming languagesC++
Go
Java
JavaScript (Node.js)
Python
C#
C++
Python
Server-side scripts infoStored proceduresnoSQLScript, Rno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingyesFixed-grid hypercubes
Replication methods infoMethods for redundantly storing data on multiple nodesyesReal-time block device replication (DRBD)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlRole based access control and fine grained access rightsyesyes
More information provided by the system vendor
MilvusSAP HANASpaceTime
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
MilvusSAP HANASpaceTime
DB-Engines blog posts

Vector databases
2 June 2023, Matthias Gelbmann

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