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DBMS > OpenMLDB vs. Ultipa

System Properties Comparison OpenMLDB vs. Ultipa

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Editorial information provided by DB-Engines
NameOpenMLDB  Xexclude from comparisonUltipa  Xexclude from comparison
DescriptionAn open-source machine learning database that provides a feature platform for training and inferenceHigh performance Graph DBMS supporting HTAP high availability cluster deployment
Primary database modelTime Series DBMSGraph DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.04
Rank#358  Overall
#37  Time Series DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Websiteopenmldb.aiwww.ultipa.com
Technical documentationopenmldb.ai/­docs/­zh/­mainwww.ultipa.com/­document
Developer4 Paradigm Inc.Ultipa
Initial release20202019
Current release2024-2 February 2024
License infoCommercial or Open SourceOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, Java, Scala
Server operating systemsLinux
Data schemeFixed schema
Typing infopredefined data types such as float or dateyes
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
Secondary indexesyes
SQL infoSupport of SQLyes
APIs and other access methodsJDBC
SQLAlchemy
RESTful HTTP API
Supported programming languagesC++
Go
Java
Python
Scala
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresno
Triggersno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano
Concurrency infoSupport for concurrent manipulation of datayes
Durability infoSupport for making data persistentyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlfine grained access rights according to SQL-standard

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More resources
OpenMLDBUltipa
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MLOp practice: using OpenMLDB in the real-time anti-fraud model for the bank's online transaction
23 August 2021, Towards Data Science

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30 January 2024, Data Science Central

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