DBMS > Apache Drill vs. Microsoft Azure Synapse Analytics vs. Trino

System Properties Comparison Apache Drill vs. Microsoft Azure Synapse Analytics vs. Trino

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Editorial information provided by DB-Engines

Name

Description

Schema-free SQL Query Engine for Hadoop, NoSQL and Cloud Storage

Elastic, large scale data warehouse service leveraging the broad eco-system of SQL Server

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

Primary database model

Document store
Relational DBMS

Relational DBMS

Secondary database models

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	1.86
Rank	#128	Overall
	#23	Document stores
	#60	Relational DBMS

Score	18.72
Rank	#31	Overall
	#19	Relational DBMS

Score	5.47
Rank	#62	Overall
	#35	Relational DBMS

Website

drill.apache.org

azure.microsoft.com/services/synapse-analytics

trino.io

Technical documentation

drill.apache.org/docs

docs.microsoft.com/azure/synapse-analytics

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

Developer

Apache Software Foundation

Microsoft

Trino Software Foundation

Initial release

2012

2016

2012

2020 rebranded from PrestoSQL

Current release

1.20.3, January 2023

License

Commercial or Open Source

Open Source

Apache Version 2

commercial

Open Source

Apache Version 2.0

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

C++

Java

Server operating systems

Linux
OS X
Windows

hosted

Linux
macOS

for devlopment

Data scheme

schema-free

yes

Typing

predefined data types such as float or date

yes

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

SQL

Support of SQL

SQL SELECT statement is SQL:2003 compliant

yes

APIs and other access methods

JDBC
ODBC
RESTful HTTP API

ADO.NET
JDBC
ODBC

JDBC
RESTful HTTP API
Trino CLI

Supported programming languages

C++

C#
Java
PHP

Go
Java
JavaScript (Node.js)
Python
R
Ruby

Server-side scripts

Stored procedures

user defined functions

Transact SQL

yes, depending on connected data-source

Triggers

Partitioning methods

Methods for storing different data on different nodes

Sharding

Sharding, horizontal partitioning

depending on connected data-source

Replication methods

Methods for redundantly storing data on multiple nodes

yes

depending on connected data-source

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

none

Immediate Consistency

depending on connected data-source

Foreign keys

Referential integrity

docs.microsoft.com/en-us/azure/synapse-analytics/sql-data-warehouse/sql-data-warehouse-table-constraints

Transaction concepts

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

ACID

depending on connected data-source

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

Depending on the underlying data source

yes

depending on connected data-source

In-memory capabilities

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

Depending on the underlying data source

User concepts

Access control

Depending on the underlying data source

yes

SQL standard access control

More information provided by the system vendor

News

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

66: Chat with Trino and Wren AI
12 September 2024

65: Performance boosts
12 September 2024

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More resources

Recent citations in the news

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

Apache Drill Eliminates ETL, Data Transformation for MapR Database
11 April 2016, The New Stack

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

MapR Adds Drill to Hadoop Distribution for SQL-Based Big Data Analytics
21 May 2015, ADT Magazine

MapR Distribution Now Ships with Apache Drill 1.0 – Schema-Free SQL Engine for Big Data
20 May 2015, insideBIGDATA

provided by Google News

General Available: Azure Synapse Runtime for Apache Spark 3.4 is now GA
8 April 2024, Microsoft

Azure Synapse Runtime for Apache Spark 3.2 End of Support
22 March 2024, Microsoft

Announcing General Availability of Graph Semantics in Kusto
27 May 2024, Microsoft

Azure Synapse Analytics: Transforming Data Management
29 August 2024, Simplilearn

Announcing the retirement of SQL Server Stretch Database
3 July 2024, Microsoft

provided by Google News

The Perfect AI Storage: Trino From Facebook And Iceberg From Netflix?
30 April 2024, The Next Platform

Run Trino queries 2.7 times faster with Amazon EMR 6.15.0
22 March 2024, AWS Blog

A look at Presto, Trino SQL query engines
9 August 2022, TechTarget

Starburst Advances 'Icehouse' for Near Real-Time Analytics on the Open Data Lakehouse
10 April 2024, PR Newswire

Starburst, which promises faster analytics on decentralized data, raises $250M
9 February 2022, VentureBeat

provided by Google News

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