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DBMS > Badger vs. QuestDB vs. Trino

System Properties Comparison Badger vs. QuestDB vs. Trino

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonQuestDB  Xexclude from comparisonTrino  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.A high performance open source SQL database for time series dataFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelKey-value storeTime Series DBMSRelational DBMS
Secondary database modelsRelational DBMSDocument 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
Score0.16
Rank#377  Overall
#58  Key-value stores
Score2.24
Rank#146  Overall
#12  Time Series DBMS
Score5.89
Rank#73  Overall
#39  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerquestdb.iotrino.io
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerquestdb.io/­docs/­introductiontrino.io/­broadcast
trino.io/­docs/­current
Social network pagesLinkedInTwitterGitHubYouTube
DeveloperDGraph LabsQuestDB LimitedTrino Software Foundation
Initial release201720142012 info2020 rebranded from PrestoSQL
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 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 languageGoJavaJava
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
macOS
Windows
Linux
macOS infofor devlopment
Data schemeschema-freeyes infoschema-free via InfluxDB Line Protocolyes
Typing infopredefined data types such as float or datenoyesyes
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.nonono
Secondary indexesnonodepending on connected data-source
SQL infoSupport of SQLnoSQL-like query languageyes
APIs and other access methodsHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
JDBC
RESTful HTTP API
Trino CLI
Supported programming languagesGoC infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresnonoyes, depending on connected data-source
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning (by timestamps)depending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesnoneConfigurable consistency for N replicasdepending on connected data-source
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistencydepending on connected data-source
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID for single-table writesdepending 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.noyes infothrough memory mapped files
User concepts infoAccess controlnoSQL standard access control
More information provided by the system vendor
BadgerQuestDBTrino
Specific characteristicsRelational model with native time series support Column based storage and time partitioned...
» more
Trino is the fastest open source, massively parallel processing SQL query engine...
» more
Competitive advantagesReal-time data ingestion and istant SQL queries for time series High performance...
» more
High performance analtyics and data processing of very large data sets Powerful ANSI...
» more
Typical application scenariosApplication metrics Financial market data and algo trading DevOps monitoring Real-time...
» more
Performant 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 metrics28250+ commits in GitHub 5750+ stargazers in GitHub 6950+ pull requests merged in...
» more
Licensing and pricing modelsApache 2.0.
» more
Trino is an open source project and usage is therefore free. Commercial offerings...
» more
News

Exploring Financial Tick Data with Jupyter Notebook and Pandas
22 May 2023

Time-Series Data Visualization with Apache Superset and QuestDB
19 May 2023

Optimizing the Optimizer: the Time-Series Benchmark Suite
18 May 2023

QuestDB 7.1.2 Release
16 May 2023

Investigating Linux Phantom Disk Reads
2 May 2023

Trino at Open Source Summit North America 2023
15 May 2023

47: Meet the new Trino maintainers
5 May 2023

Refreshing at the lakehouse summer camp
3 May 2023

Just the right time date predicates with Iceberg
11 April 2023

Polish edition of Trino: The Definitive Guide
6 April 2023

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
BadgerQuestDBTrino
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