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DBMS > Hyprcubd vs. Ingres vs. Milvus vs. ObjectBox vs. SiteWhere

System Properties Comparison Hyprcubd vs. Ingres vs. Milvus vs. ObjectBox vs. SiteWhere

Editorial information provided by DB-Engines
NameHyprcubd  Xexclude from comparisonIngres  Xexclude from comparisonMilvus  Xexclude from comparisonObjectBox  Xexclude from comparisonSiteWhere  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionServerless Time Series DBMSWell established RDBMSA DBMS designed for efficient storage of vector data and vector similarity searchesExtremely fast embedded database for small devices, IoT and MobileM2M integration platform for persisting/querying time series data
Primary database modelTime Series DBMSRelational DBMSVector DBMSObject oriented DBMSTime Series DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.11
Rank#81  Overall
#44  Relational DBMS
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score1.20
Rank#170  Overall
#5  Object oriented DBMS
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Websitehyprcubd.com (offline)www.actian.com/­databases/­ingresmilvus.ioobjectbox.iogithub.com/­sitewhere/­sitewhere
Technical documentationdocs.actian.com/­ingresmilvus.io/­docs/­overview.mddocs.objectbox.iositewhere1.sitewhere.io/­index.html
DeveloperHyprcubd, Inc.Actian CorporationObjectBox LimitedSiteWhere
Initial release1974 infooriginally developed at University Berkely in early 1970s201920172010
Current release11.2, May 20222.3.4, January 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0Open Source infoApache License 2.0Open Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
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 languageGoCC++, GoC and C++Java
Server operating systemshostedAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Android
iOS
Linux
macOS
Windows
Linux
OS X
Windows
Data schemeyesyesyespredefined scheme
Typing infopredefined data types such as float or dateyes infotime, int, uint, float, stringyesVector, 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.nono infobut tools for importing/exporting data from/to XML-files availablenonono
Secondary indexesnoyesnoyesno
SQL infoSupport of SQLSQL-like query languageyesnonono
APIs and other access methodsgRPC (https).NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
RESTful HTTP APIProprietary native APIHTTP REST
Supported programming languagesC++
Go
Java
JavaScript (Node.js)
Python
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
Server-side scripts infoStored proceduresnoyesnono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoIngres Star to access multiple databases simultaneouslyShardingnoneSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesIngres Replicatoronline/offline synchronization between client and serverselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datanoyes infoMVCCyesyesyes
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.nonoyesnono
User concepts infoAccess controltoken accessfine grained access rights according to SQL-standardRole based access control and fine grained access rightsyesUsers with fine-grained authorization concept
More information provided by the system vendor
HyprcubdIngresMilvusObjectBoxSiteWhere
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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