DB-EnginesExtremeDB: mitigate connectivity issues in a DBMSEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Databricks vs. STSdb vs. Trino

System Properties Comparison Databricks vs. STSdb vs. Trino

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonSTSdb  Xexclude from comparisonTrino  Xexclude from comparison
DescriptionThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Key-Value Store with special method for indexing infooptimized for high performance using a special indexing methodFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelDocument store
Relational DBMS
Key-value storeRelational 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
Score76.33
Rank#17  Overall
#3  Document stores
#11  Relational DBMS
Score0.06
Rank#365  Overall
#55  Key-value stores
Score5.10
Rank#70  Overall
#38  Relational DBMS
Websitewww.databricks.comgithub.com/­STSSoft/­STSdb4trino.io
Technical documentationdocs.databricks.comtrino.io/­broadcast
trino.io/­docs/­current
Social network pagesLinkedInTwitterYouTubeGitHub
DeveloperDatabricksSTS Soft SCTrino Software Foundation
Initial release201320112012 info2020 rebranded from PrestoSQL
Current release4.0.8, September 2015
License infoCommercial or Open SourcecommercialOpen Source infoGPLv2, commercial license availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnono
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 languageC#Java
Server operating systemshostedWindowsLinux
macOS infofor devlopment
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyes
Typing infopredefined data types such as float or dateyes infoprimitive types and user defined types (classes)yes
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.yesno
Secondary indexesyesnodepending on connected data-source
SQL infoSupport of SQLwith Databricks SQLnoyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
.NET Client APIJDBC
RESTful HTTP API
Trino CLI
Supported programming languagesPython
R
Scala
C#
Java
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoyes, depending on connected data-source
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesnonedepending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesyesnonedepending on connected data-source
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencydepending on connected data-source
Foreign keys infoReferential integritynono
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.no
User concepts infoAccess controlnoSQL standard access control
More information provided by the system vendor
DatabricksSTSdbTrino
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
» more
Trino 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

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

57: Seeing clearly with OpenTelemetry
14 March 2024

Blazing ahead with 22
13 March 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.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
DatabricksSTSdbTrino
DB-Engines blog posts

PostgreSQL is the DBMS of the Year 2023
2 January 2024, Matthias Gelbmann, Paul Andlinger

show all

Recent citations in the news

Top 5 Lessons Learned from Databricks' Journey from $400M to $1.5B+
23 April 2024, SaaStr

Databricks unveils AI platform at first Data Intelligence Day in PH
22 April 2024, Backend News

Databricks CEO Says Competition Spurred High-Profile Exit at Snowflake Bloomberg
27 March 2024, Yahoo Finance

Databricks spent $10M on new DBRX generative AI model
27 March 2024, TechCrunch

SambaNova announces new AI Samba-CoE v0.2 that already beats Databricks DBRX
28 March 2024, VentureBeat

provided by Google News

Speed Trino Queries with These Performance-Tuning Tips
11 July 2023, The New Stack

Starburst Brings Dataframes Into Trino Platform
7 September 2023, Datanami

Query big data with resilience using Trino in Amazon EMR with Amazon EC2 Spot Instances for less cost | Amazon ...
4 October 2023, AWS Blog

Trino: The Open-source Data Query Engine That Split from Facebook
30 March 2022, hackernoon.com

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

provided by Google News



Share this page

Featured Products

Ontotext logo

GraphDB allows you to link diverse data, index it for semantic search and enrich it via text analysis to build big knowledge graphs. Get it free.

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

AllegroGraph logo

Graph Database Leader for AI Knowledge Graph Applications - The Most Secure Graph Database Available.
Free Download

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Present your product here