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DBMS > GridGain vs. OpenMLDB vs. Trino

System Properties Comparison GridGain vs. OpenMLDB vs. Trino

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonOpenMLDB  Xexclude from comparisonTrino  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteAn open-source machine learning database that provides a feature platform for training and inferenceFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelColumnar
Key-value store
Object oriented DBMS
Relational DBMS
Time Series DBMSRelational DBMS
Secondary database modelsRelational DBMSDocument store
Key-value store
Spatial DBMS
Search engine
Time Series DBMS
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.42
Rank#150  Overall
#1  Columnar
#26  Key-value stores
#2  Object oriented DBMS
#69  Relational DBMS
Score0.08
Rank#344  Overall
#30  Time Series DBMS
Score5.35
Rank#61  Overall
#35  Relational DBMS
Websitewww.gridgain.comopenmldb.aitrino.io
Technical documentationwww.gridgain.com/­docs/­index.htmlopenmldb.ai/­docs/­zh/­maintrino.io/­broadcast
trino.io/­docs/­current
DeveloperGridGain Systems, Inc.4 Paradigm Inc.Trino Software Foundation
Initial release200720202012 info2020 rebranded from PrestoSQL
Current releaseGridGain 8.5.12024-2 February 2024
License infoCommercial or Open Sourcecommercial, open sourceOpen SourceOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .Net, Python, REST, SQLC++, Java, ScalaJava
Server operating systemsLinux
OS X
Solaris
Windows
z/OS
LinuxLinux
macOS infofor devlopment
Data schemeyesFixed schemayes
Typing infopredefined data types such as float or dateyesyesyes
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.yesnono
Secondary indexesyesyesdepending on connected data-source
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLyesyes
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
SQLAlchemy
JDBC
RESTful HTTP API
Trino CLI
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C++
Go
Java
Python
Scala
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)noyes, depending on connected data-source
Triggersyes (cache interceptors and events)nono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningdepending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Source-replica replicationdepending on connected data-source
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistencydepending on connected data-source
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnodepending on connected data-source
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesdepending on connected data-source
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlRole-based access control
Security Hooks for custom implementations
fine grained access rights according to SQL-standardSQL standard access control
More information provided by the system vendor
GridGainOpenMLDBTrino
News

67: Extra speed with Exasol and Trino
30 October 2024

A glimpse at the summit
17 October 2024

A Kubernetes operator for Trino?
10 October 2024

SQL basecamps before Trino Summit
7 October 2024

23 is a go, keeping pace with Java
17 September 2024

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More resources
GridGainOpenMLDBTrino
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