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DBMS > Apache Doris vs. Milvus vs. Newts vs. SiteWhere vs. Yanza

System Properties Comparison Apache Doris vs. Milvus vs. Newts vs. SiteWhere vs. Yanza

Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonMilvus  Xexclude from comparisonNewts  Xexclude from comparisonSiteWhere  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolA DBMS designed for efficient storage of vector data and vector similarity searchesTime Series DBMS based on CassandraM2M integration platform for persisting/querying time series dataTime Series DBMS for IoT Applications
Primary database modelRelational DBMSVector DBMSTime Series DBMSTime Series DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.60
Rank#247  Overall
#113  Relational DBMS
Score2.78
Rank#103  Overall
#4  Vector DBMS
Score0.07
Rank#375  Overall
#41  Time Series DBMS
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Websitedoris.apache.org
github.com/­apache/­doris
milvus.ioopennms.github.io/­newtsgithub.com/­sitewhere/­sitewhereyanza.com
Technical documentationgithub.com/­apache/­doris/­wikimilvus.io/­docs/­overview.mdgithub.com/­OpenNMS/­newts/­wikisitewhere1.sitewhere.io/­index.html
DeveloperApache Software Foundation, originally contributed from BaiduOpenNMS GroupSiteWhereYanza
Initial release20172019201420102015
Current release1.2.2, February 20232.4.4, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoCommon Public Attribution License Version 1.0commercial infofree version available
Cloud-based only infoOnly available as a cloud servicenonononono infobut mainly used as a service provided by Yanza
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 languageJavaC++, GoJavaJava
Server operating systemsLinuxLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
OS X
Windows
Linux
OS X
Windows
Windows
Data schemeyesschema-freepredefined schemeschema-free
Typing infopredefined data types such as float or dateyesVector, Numeric and Stringyesyesno
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.nonononono
Secondary indexesyesnononono
SQL infoSupport of SQLyesnononono
APIs and other access methodsJDBC
MySQL client
RESTful HTTP APIHTTP REST
Java API
HTTP RESTHTTP API
Supported programming languagesJavaC++
Go
Java
JavaScript (Node.js)
Python
Javaany language that supports HTTP calls
Server-side scripts infoStored proceduresuser defined functionsnonono
Triggersnononoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingSharding infobased on CassandraSharding infobased on HBasenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor infobased on Cassandraselectable replication factor infobased on HBasenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononono
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.noyesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardRole based access control and fine grained access rightsnoUsers with fine-grained authorization conceptno
More information provided by the system vendor
Apache DorisMilvusNewtsSiteWhereYanza
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
Apache DorisMilvusNewtsSiteWhereYanza
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