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DBMS > OpenMLDB vs. Vitess

System Properties Comparison OpenMLDB vs. Vitess

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Our visitors often compare OpenMLDB and Vitess with Trino, TerminusDB and Microsoft Azure Data Explorer.

Editorial information provided by DB-Engines
NameOpenMLDB  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionAn open-source machine learning database that provides a feature platform for training and inferenceScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelTime Series DBMSRelational DBMS
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.10
Rank#359  Overall
#36  Time Series DBMS
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websiteopenmldb.aivitess.io
Technical documentationopenmldb.ai/­docs/­zh/­mainvitess.io/­docs
Developer4 Paradigm Inc.The Linux Foundation, PlanetScale
Initial release20202013
Current release2024-2 February 202415.0.2, December 2022
License infoCommercial or Open SourceOpen SourceOpen Source infoApache Version 2.0, commercial licenses available
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, ScalaGo
Server operating systemsLinuxDocker
Linux
macOS
Data schemeFixed schemayes
Typing infopredefined data types such as float or dateyesyes
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 indexesyesyes
SQL infoSupport of SQLyesyes infowith proprietary extensions
APIs and other access methodsJDBC
SQLAlchemy
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC++
Go
Java
Python
Scala
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoyes infoproprietary syntax
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers with fine-grained authorization concept infono user groups or roles

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More resources
OpenMLDBVitess
Recent citations in the news

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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PlanetScale Unveils Distributed MySQL Database Service Based on Vitess
18 May 2021, Datanami

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18 May 2021, The Register

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13 December 2018, TechCrunch

With Vitess 4.0, database vendor matures cloud-native platform
13 November 2019, TechTarget

Massively Scaling MySQL Using Vitess
19 February 2019, InfoQ.com

provided by Google News



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