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DBMS > eXtremeDB vs. Microsoft Azure AI Search vs. Milvus vs. SiteWhere

System Properties Comparison eXtremeDB vs. Microsoft Azure AI Search vs. Milvus vs. SiteWhere

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Editorial information provided by DB-Engines
NameeXtremeDB  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonMilvus  Xexclude from comparisonSiteWhere  Xexclude from comparison
DescriptionNatively in-memory DBMS with options for persistency, high-availability and clusteringSearch-as-a-service for web and mobile app developmentA DBMS designed for efficient storage of vector data and vector similarity searchesM2M integration platform for persisting/querying time series data
Primary database modelRelational DBMS
Time Series DBMS
Search engineVector DBMSTime Series DBMS
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.80
Rank#214  Overall
#99  Relational DBMS
#18  Time Series DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Score2.78
Rank#103  Overall
#4  Vector DBMS
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Websitewww.mcobject.comazure.microsoft.com/­en-us/­services/­searchmilvus.iogithub.com/­sitewhere/­sitewhere
Technical documentationwww.mcobject.com/­docs/­extremedb.htmlearn.microsoft.com/­en-us/­azure/­searchmilvus.io/­docs/­overview.mdsitewhere1.sitewhere.io/­index.html
DeveloperMcObjectMicrosoftSiteWhere
Initial release2001201520192010
Current release8.2, 2021V12.4.4, May 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0Open Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
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 and C++C++, GoJava
Server operating systemsAIX
HP-UX
Linux
macOS
Solaris
Windows
hostedLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
OS X
Windows
Data schemeyesyespredefined scheme
Typing infopredefined data types such as float or dateyesyesVector, 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.no infosupport of XML interfaces availablenonono
Secondary indexesyesyesnono
SQL infoSupport of SQLyes infowith the option: eXtremeSQLnonono
APIs and other access methods.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
RESTful HTTP APIRESTful HTTP APIHTTP REST
Supported programming languages.Net
C
C#
C++
Java
Lua
Python
Scala
C#
Java
JavaScript
Python
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesnono
Triggersyes infoby defining eventsnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning / shardingSharding infoImplicit feature of the cloud serviceShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesActive Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
yes infoImplicit feature of the cloud serviceselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyesyes
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.yesnoyesno
User concepts infoAccess controlyes infousing Azure authenticationRole based access control and fine grained access rightsUsers with fine-grained authorization concept
More information provided by the system vendor
eXtremeDBMicrosoft Azure AI SearchMilvusSiteWhere
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
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Milvus is an open-source and cloud-native vector database built for production-ready...
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Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
» more
Highly available, versatile, and robust with millisecond latency. Supports batch...
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Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
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RAG: retrieval augmented generation Video media : video understanding, video deduplication....
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Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Milvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
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As of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
» more
Milvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» more

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eXtremeDBMicrosoft Azure AI SearchMilvusSiteWhere
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