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DBMS > EventStoreDB vs. Kinetica vs. Milvus vs. SAP HANA

System Properties Comparison EventStoreDB vs. Kinetica vs. Milvus vs. SAP HANA

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Editorial information provided by DB-Engines
NameEventStoreDB  Xexclude from comparisonKinetica  Xexclude from comparisonMilvus  Xexclude from comparisonSAP HANA  Xexclude from comparison
DescriptionIndustrial-strength, open-source database solution built from the ground up for event sourcing.Fully vectorized database across both GPUs and CPUsA DBMS designed for efficient storage of vector data and vector similarity searchesIn-memory, column based data store. Available as appliance or cloud service
Primary database modelEvent StoreRelational DBMSVector DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Document store
Graph DBMS infowith SAP Hana, Enterprise Edition
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.19
Rank#173  Overall
#1  Event Stores
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score2.78
Rank#103  Overall
#4  Vector DBMS
Score44.27
Rank#23  Overall
#16  Relational DBMS
Websitewww.eventstore.comwww.kinetica.commilvus.iowww.sap.com/­products/­hana.html
Technical documentationdevelopers.eventstore.comdocs.kinetica.commilvus.io/­docs/­overview.mdhelp.sap.com/­hana
DeveloperEvent Store LimitedKineticaSAP
Initial release2012201220192010
Current release21.2, February 20217.1, August 20212.4.4, May 20242.0 SPS07 (April 4, 2023), April 2023
License infoCommercial or Open SourceOpen SourcecommercialOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono infoalso available as a cloud based service
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++C++, Go
Server operating systemsLinux
Windows
LinuxLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Appliance or cloud-service
Data schemeyesyes
Typing infopredefined data types such as float or dateyesVector, Numeric and Stringyes
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 indexesyesnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP APIJDBC
ODBC
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functionsnoSQLScript, R
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangenoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
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.yes infoGPU vRAM or System RAMyesyes
User concepts infoAccess controlAccess rights for users and roles on table levelRole based access control and fine grained access rightsyes
More information provided by the system vendor
EventStoreDBKineticaMilvusSAP HANA
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
EventStoreDBKineticaMilvusSAP HANA
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