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DBMS > InterSystems IRIS vs. Milvus vs. Newts vs. Splice Machine

System Properties Comparison InterSystems IRIS vs. Milvus vs. Newts vs. Splice Machine

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Editorial information provided by DB-Engines
NameInterSystems IRIS  Xexclude from comparisonMilvus  Xexclude from comparisonNewts  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityA DBMS designed for efficient storage of vector data and vector similarity searchesTime Series DBMS based on CassandraOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Vector DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.05
Rank#83  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitewww.intersystems.com/­products/­intersystems-irismilvus.ioopennms.github.io/­newtssplicemachine.com
Technical documentationdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clsmilvus.io/­docs/­overview.mdgithub.com/­OpenNMS/­newts/­wikisplicemachine.com/­how-it-works
DeveloperInterSystemsOpenNMS GroupSplice Machine
Initial release2018201920142014
Current release2023.3, June 20232.3.4, January 20243.1, March 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
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++, GoJavaJava
Server operating systemsAIX
Linux
macOS
Ubuntu
Windows
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
OS X
Windows
Linux
OS X
Solaris
Windows
Data schemedepending on used data modelschema-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.yesnono
Secondary indexesyesnonoyes
SQL infoSupport of SQLyesnonoyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP APIHTTP REST
Java API
JDBC
Native Spark Datasource
ODBC
Supported programming languages.Net
C++
Java
JavaScript (Node.js)
Python
C++
Go
Java
JavaScript (Node.js)
Python
JavaC#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyesnonoyes infoJava
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infobased on CassandraShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factor infobased on CassandraMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
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.yesyesnoyes
User concepts infoAccess controlyesRole based access control and fine grained access rightsnoAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
InterSystems IRISMilvusNewtsSplice Machine
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
» more
Milvus 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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InterSystems IRISMilvusNewtsSplice Machine
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