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DBMS > Apache Drill vs. OpenMLDB

System Properties Comparison Apache Drill vs. OpenMLDB

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Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonOpenMLDB  Xexclude from comparison
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageAn open-source machine learning database that provides a feature platform for training and inference
Primary database modelDocument store
Relational DBMS
Time Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.74
Rank#128  Overall
#24  Document stores
#60  Relational DBMS
Score0.02
Rank#368  Overall
#38  Time Series DBMS
Websitedrill.apache.orgopenmldb.ai
Technical documentationdrill.apache.org/­docsopenmldb.ai/­docs/­zh/­main
DeveloperApache Software Foundation4 Paradigm Inc.
Initial release20122020
Current release1.20.3, January 20232024-2 February 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, Java, Scala
Server operating systemsLinux
OS X
Windows
Linux
Data schemeschema-freeFixed schema
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.nono
Secondary indexesnoyes
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
SQLAlchemy
Supported programming languagesC++C++
Go
Java
Python
Scala
Server-side scripts infoStored proceduresuser defined functionsno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourceyes
User concepts infoAccess controlDepending on the underlying data sourcefine grained access rights according to SQL-standard

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More resources
Apache DrillOpenMLDB
Recent citations in the news

Apache Drill case study: A tutorial on processing CSV files
9 June 2016, TheServerSide.com

Update Apache Drill Eliminates ETL, Data Transformation for MapR Database
30 March 2022, InApps Technology

Drill Mines Diverse Data Sets, Google Style
20 May 2015, The Next Platform

Interacting with MapR-DB
11 December 2018, hackernoon.com

10 ways to query Hadoop with SQL
16 September 2014, InfoWorld

provided by Google News

MLOps Practice: Using OpenMLDB in the Real-Time Anti-Fraud Model for the Bank's Online Transaction
27 July 2021, Towards Data Science

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Predictive maintenance – 5minutes demo of an end to end machine learning project
13 August 2021, Towards Data Science

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