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DBMS > Apache Drill vs. Apache Phoenix vs. Snowflake vs. Trino

System Properties Comparison Apache Drill vs. Apache Phoenix vs. Snowflake vs. Trino

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Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonApache Phoenix  Xexclude from comparisonSnowflake  Xexclude from comparisonTrino  Xexclude from comparison
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageA scale-out RDBMS with evolutionary schema built on Apache HBaseCloud-based data warehousing service for structured and semi-structured dataFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelDocument store
Relational DBMS
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument 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
Score1.95
Rank#127  Overall
#23  Document stores
#60  Relational DBMS
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score121.33
Rank#9  Overall
#6  Relational DBMS
Score5.00
Rank#66  Overall
#36  Relational DBMS
Websitedrill.apache.orgphoenix.apache.orgwww.snowflake.comtrino.io
Technical documentationdrill.apache.org/­docsphoenix.apache.orgdocs.snowflake.net/­manuals/­index.htmltrino.io/­broadcast
trino.io/­docs/­current
Social network pagesLinkedInTwitterYouTubeGitHub
DeveloperApache Software FoundationApache Software FoundationSnowflake Computing Inc.Trino Software Foundation
Initial release2012201420142012 info2020 rebranded from PrestoSQL
Current release1.20.3, January 20235.0-HBase2, July 2018 and 4.15-HBase1, December 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2.0commercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Starburst Galaxy offers a feature-rich user interface to connect all your data sources, manage your Trino clusters, and query your data.
Implementation languageJavaJava
Server operating systemsLinux
OS X
Windows
Linux
Unix
Windows
hostedLinux
macOS infofor devlopment
Data schemeschema-freeyes infolate-bound, schema-on-read capabilitiesyes infosupport of semi-structured data formats (JSON, XML, Avro)yes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonoyesno
Secondary indexesnoyesdepending on connected data-source
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantyesyesyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBCCLI Client
JDBC
ODBC
JDBC
RESTful HTTP API
Trino CLI
Supported programming languagesC++C
C#
C++
Go
Groovy
Java
PHP
Python
Scala
JavaScript (Node.js)
Python
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresuser defined functionsuser defined functionsuser defined functionsyes, depending on connected data-source
Triggersnonono infosimilar concept for controling cloud resourcesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyesdepending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesdepending on connected data-source
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency or Eventual ConsistencyImmediate Consistencydepending on connected data-source
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDdepending on connected data-source
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyesyesdepending on connected data-source
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourceyesno
User concepts infoAccess controlDepending on the underlying data sourceAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyUsers with fine-grained authorization concept, user roles and pluggable authenticationSQL standard access control
More information provided by the system vendor
Apache DrillApache PhoenixSnowflakeTrino
Specific characteristicsTrino is the fastest open source, massively parallel processing SQL query engine...
» more
Competitive advantagesHigh performance analtyics and data processing of very large data sets Powerful ANSI...
» more
Typical application scenariosPerformant analytics query engine for data warehouses, data lakes, and data lakehouses...
» more
Key customersTrino is widely adopted across the globe as freely-available open source software....
» more
Market metrics33000+ commits in GitHub 8200+ stargazers in GitHub 1200+ pull requests merged in...
» more
Licensing and pricing modelsTrino is an open source project and usage is therefore free. Commercial offerings...
» more
News

Big names round out the Trino Fest 2024 lineup
8 May 2024

59: Querying Trino with Java and jOOQ
24 April 2024

A sneak peek of Trino Fest 2024
15 April 2024

Time travel in Delta Lake connector
11 April 2024

58: Understanding your users with Trino and Mitzu
4 April 2024

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Apache DrillApache PhoenixSnowflakeTrino
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Recent citations in the news

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

Analyse Kafka messages with SQL queries using Apache Drill
23 September 2019, Towards Data Science

Apache Drill improves big data SQL query engine
31 August 2021, TechTarget

Apache Drill Poised to Crack Tough Data Challenges
19 May 2015, Datanami

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

provided by Google News

Supercharge SQL on Your Data in Apache HBase with Apache Phoenix | Amazon Web Services
2 June 2016, AWS Blog

Bridge the SQL-NoSQL gap with Apache Phoenix
4 February 2016, InfoWorld

Apache Calcite, FreeMarker, Gora, Phoenix, and Solr updated
27 March 2017, SDTimes.com

Azure HDInsight Analytics Platform Now Supports Apache Hadoop 3.0
18 April 2019, eWeek

Amazon EMR 4.7.0 – Apache Tez & Phoenix, Updates to Existing Apps | Amazon Web Services
2 June 2016, AWS Blog

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15 May 2024, Business Wire

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14 May 2024, PR Newswire

Molham Aref Creates RelationalAI As AI Coprocessor For Data Clouds
8 May 2024, Forbes

Snowflake Data Clean Rooms Democratize Secure Data Sharing Across Clouds
24 April 2024, Acceleration Economy

Snowflake Unveils the Future of Enterprise AI, Apps, and Data at Sixth-Annual Data Cloud Summit
8 May 2024, Yahoo Finance

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

Starburst Brings Dataframes Into Trino Platform
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Query big data with resilience using Trino in Amazon EMR with Amazon EC2 Spot Instances for less cost | Amazon ...
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A look at Presto, Trino SQL query engines
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Trino: The Open-source Data Query Engine That Split from Facebook
30 March 2022, hackernoon.com

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