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DBMS > Milvus vs. Netezza vs. ObjectBox vs. SQream DB vs. Stardog

System Properties Comparison Milvus vs. Netezza vs. ObjectBox vs. SQream DB vs. Stardog

Editorial information provided by DB-Engines
NameMilvus  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonObjectBox  Xexclude from comparisonSQream DB  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionA DBMS designed for efficient storage of vector data and vector similarity searchesData warehouse and analytics appliance part of IBM PureSystemsExtremely fast embedded database for small devices, IoT and Mobilea GPU-based, columnar RDBMS for big data analytics workloadsEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelVector DBMSRelational DBMSObject oriented DBMSRelational DBMSGraph DBMS
RDF store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score1.20
Rank#170  Overall
#5  Object oriented DBMS
Score0.70
Rank#227  Overall
#104  Relational DBMS
Score2.02
Rank#123  Overall
#11  Graph DBMS
#6  RDF stores
Websitemilvus.iowww.ibm.com/­products/­netezzaobjectbox.iosqream.comwww.stardog.com
Technical documentationmilvus.io/­docs/­overview.mddocs.objectbox.iodocs.sqream.comdocs.stardog.com
DeveloperIBMObjectBox LimitedSQream TechnologiesStardog-Union
Initial release20192000201720172010
Current release2.3.4, January 20242022.1.6, December 20227.3.0, May 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache License 2.0commercialcommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
Cloud-based only infoOnly available as a cloud servicenonononono
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 and C++C++, CUDA, Haskell, Java, ScalaJava
Server operating systemsLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux infoincluded in applianceAndroid
iOS
Linux
macOS
Windows
LinuxLinux
macOS
Windows
Data schemeyesyesyesschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateVector, Numeric and Stringyesyesyes, ANSI Standard SQL Typesyes
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 infoImport/export of XML data possible
Secondary indexesnoyesyesnoyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLnoyesnoyesYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
OLE DB
Proprietary native API.Net
JDBC
ODBC
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languagesC++
Go
Java
JavaScript (Node.js)
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
C++
Java
JavaScript (Node.js)
Python
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresnoyesnouser defined functions in Pythonuser defined functions and aggregates, HTTP Server extensions in Java
Triggersnonononoyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonehorizontal and vertical partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationonline/offline synchronization between client and servernoneMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate ConsistencyImmediate ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integritynonoyesnoyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlRole based access control and fine grained access rightsUsers with fine-grained authorization conceptyesAccess rights for users and roles
More information provided by the system vendor
MilvusNetezza infoAlso called PureData System for Analytics by IBMObjectBoxSQream DBStardog
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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