DBMS > OpenMLDB vs. Trino vs. XTDB

System Properties Comparison OpenMLDB vs. Trino vs. XTDB

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Editorial information provided by DB-Engines

Name

Description

An open-source machine learning database that provides a feature platform for training and inference

Fast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL

A general purpose database with bitemporal SQL and Datalog and graph queries

Primary database model

Time Series DBMS

Relational DBMS

Document store

Secondary database models

Relational DBMS

Document store
Key-value store
Spatial DBMS
Search engine
Time Series DBMS
Wide column store

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	0.03
Rank	#363	Overall
	#38	Time Series DBMS

Score	5.18
Rank	#60	Overall
	#34	Relational DBMS

Score	0.20
Rank	#307	Overall
	#46	Document stores

Website

openmldb.ai

trino.io

github.com/xtdb/xtdb
www.xtdb.com

Technical documentation

openmldb.ai/docs/zh/main

trino.io/broadcast
trino.io/docs/current

www.xtdb.com/docs

Developer

4 Paradigm Inc.

Trino Software Foundation

Juxt Ltd.

Initial release

2020

2012

2020 rebranded from PrestoSQL

2019

Current release

2024-2 February 2024

1.19, September 2021

License

Commercial or Open Source

Open Source

Apache Version 2.0

Open Source

MIT License

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

C++, Java, Scala

Java

Clojure

Server operating systems

Linux

Linux
macOS

for devlopment

All OS with a Java 8 (and higher) VM
Linux

Data scheme

Fixed schema

yes

schema-free

Typing

predefined data types such as float or date

yes

yes, extensible-data-notation format

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

Secondary indexes

yes

depending on connected data-source

yes

SQL

Support of SQL

yes

limited SQL, making use of Apache Calcite

APIs and other access methods

JDBC
SQLAlchemy

JDBC
RESTful HTTP API
Trino CLI

HTTP REST
JDBC

Supported programming languages

C++
Go
Java
Python
Scala

Go
Java
JavaScript (Node.js)
Python
R
Ruby

Clojure
Java

Server-side scripts

Stored procedures

yes, depending on connected data-source

Triggers

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning

depending on connected data-source

none

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

depending on connected data-source

yes, each node contains all data

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

depending on connected data-source

Foreign keys

Referential integrity

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

depending on connected data-source

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

depending on connected data-source

yes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

User concepts

Access control

fine grained access rights according to SQL-standard

SQL standard access control

More information provided by the system vendor

News

73: Wrapping Trino packages with a bow
9 April 2025

Core Principles and Design Practices of OLAP Engines
27 March 2025

72: Keeping the lake clean
17 March 2025

Twenty four
3 March 2025

71: Fake it real good
27 February 2025

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4 October 2023, Amazon Web Services

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30 March 2022, HackerNoon

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11 August 2022, VentureBeat

provided by Google News

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