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DBMS > Apache Doris vs. Milvus vs. OrigoDB vs. SpaceTime

System Properties Comparison Apache Doris vs. Milvus vs. OrigoDB vs. SpaceTime

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Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonMilvus  Xexclude from comparisonOrigoDB  Xexclude from comparisonSpaceTime  Xexclude from comparison
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolA DBMS designed for efficient storage of vector data and vector similarity searchesA fully ACID in-memory object graph databaseSpaceTime is a spatio-temporal DBMS with a focus on performance.
Primary database modelRelational DBMSVector DBMSDocument store
Object oriented DBMS
Spatial DBMS
Secondary database modelsRelational 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
#3  Vector DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score0.03
Rank#392  Overall
#8  Spatial DBMS
Websitedoris.apache.org
github.com/­apache/­doris
milvus.ioorigodb.comwww.mireo.com/­spacetime
Technical documentationgithub.com/­apache/­doris/­wikimilvus.io/­docs/­overview.mdorigodb.com/­docs
DeveloperApache Software Foundation, originally contributed from BaiduRobert Friberg et alMireo
Initial release201720192009 infounder the name LiveDB2020
Current release1.2.2, February 20232.3.4, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Sourcecommercial
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 languageJavaC++, GoC#C++
Server operating systemsLinuxLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
Windows
Linux
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesVector, Numeric and StringUser defined using .NET types and collectionsyes
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 infocan be achieved using .NETno
Secondary indexesyesnoyesno
SQL infoSupport of SQLyesnonoA subset of ANSI SQL is implemented
APIs and other access methodsJDBC
MySQL client
RESTful HTTP API.NET Client API
HTTP API
LINQ
RESTful HTTP API
Supported programming languagesJavaC++
Go
Java
JavaScript (Node.js)
Python
.NetC#
C++
Python
Server-side scripts infoStored proceduresuser defined functionsnoyesno
Triggersnonoyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardinghorizontal partitioning infoclient side managed; servers are not synchronizedFixed-grid hypercubes
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationReal-time block device replication (DRBD)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate Consistency
Foreign keys infoReferential integritynonodepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardRole based access control and fine grained access rightsRole based authorizationyes
More information provided by the system vendor
Apache DorisMilvusOrigoDBSpaceTime
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 DorisMilvusOrigoDBSpaceTime
DB-Engines blog posts

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