DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Brytlyt vs. Databend vs. Trino

System Properties Comparison Brytlyt vs. Databend vs. Trino

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonDatabend  Xexclude from comparisonTrino  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelRelational 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
Score0.45
Rank#296  Overall
#135  Relational DBMS
Score0.50
Rank#288  Overall
#132  Relational DBMS
Score6.07
Rank#68  Overall
#37  Relational DBMS
Websitebrytlyt.iodatabend.rstrino.io
Technical documentationdocs.brytlyt.iodatabend.rs/­doctrino.io/­broadcast
trino.io/­docs/­current
Social network pagesLinkedInTwitterGitHubYouTube
DeveloperBrytlytDatabend LabsTrino Software Foundation
Initial release201620212012 info2020 rebranded from PrestoSQL
Current release5.0, August 20231.0.59, April 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open 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.
Starburst Galaxy offers a feature-rich user interface to connect all your data sources, manage your Trino clusters, and query your data.
Implementation languageC, C++ and CUDARustJava
Server operating systemsLinux
OS X
Windows
hosted
Linux
macOS
Linux
macOS infofor devlopment
Data schemeyesyesyes
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.yes infospecific XML-type available, but no XML query functionality.nono
Secondary indexesyesnodepending on connected data-source
SQL infoSupport of SQLyesyesyes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
CLI Client
JDBC
RESTful HTTP API
JDBC
RESTful HTTP API
Trino CLI
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
Go
Java
JavaScript (Node.js)
Python
Rust
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLnoyes, depending on connected data-source
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesnonedepending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnonedepending on connected data-source
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistencydepending on connected data-source
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesdepending on connected data-source
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesdepending on connected data-source
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers with fine-grained authorization concept, user rolesSQL standard access control
More information provided by the system vendor
BrytlytDatabendTrino
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

Chinese edition of Trino: The Definitive Guide
21 September 2023

Join us for Trino Summit 2023
14 September 2023

FugueSQL: Interoperable Python and Trino for interactive workloads
27 July 2023

Starburst Galaxy: A romance of many architectures
25 July 2023

Trino optimization with distributed caching on data lakes
21 July 2023

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
BrytlytDatabendTrino
Recent citations in the news

Brytlyt Releases Version 5.0, Introducing a More Intuitive, Intelligent ...
2 August 2023, Datanami

GPU Database Market Next Big Thing With Major Giants Kinetica, Omnisci, Sqream
20 September 2023, Benzinga

Brytlyt becomes NVIDIA Inception Premier Partner
31 January 2023, PR Newswire

Brytlyt Unleashes Serverless GPU-Acceleration for Analytics
15 September 2021, PR Newswire UK

Brytlyt partners with MariaDB to integrate its GPU database ...
26 February 2018, TechNative

provided by Google News

Databend 开源周报第111 期原创
18 September 2023, CSDN

Databend 开源周报第108 期原创
29 August 2023, CSDN

The Promise and Potential of LLM in Crypto
11 September 2023, hackernoon.com

Rust and the OS, the Web, Database and Other Languages
21 November 2022, The New Stack

Databend 开源周报第103 期原创
25 July 2023, CSDN

provided by Google News

Starburst Brings Dataframes Into Trino Platform
7 September 2023, Datanami

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

Starburst accelerates Trino to 'Warp Speed' to accelerate data ...
8 February 2023, VentureBeat

Python Delights Excel Data Nerds Plus Data Lake Enthusiasts
15 September 2023, The New Stack

Trino and dbt open source data tools snuggle closer with integrated SaaS
28 April 2023, The Register

provided by Google News

Job opportunities

Distributed Systems Engineer (L4) - Data Platform
Netflix, Remote

Director, Engineering - Galaxy (Control Plane)
Starburst, United States

Senior Software Engineer - Cloud Infrastructure
Starburst, United States

Data Architect
BlackLine, Pleasanton, CA

Senior Director, Product Management
Starburst, United States

jobs by Indeed



Share this page

Featured Products

Redis logo

The world’s most loved real‑time data platform.
Try 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

MariaDB logo

SkySQL, the ultimate
MariaDB cloud, is here.

Get started with SkySQL today!

Neo4j logo

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

Present your product here