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DBMS > BoltDB vs. InfluxDB vs. MonetDB vs. Trino

System Properties Comparison BoltDB vs. InfluxDB vs. MonetDB vs. Trino

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Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonInfluxDB  Xexclude from comparisonMonetDB  Xexclude from comparisonTrino  Xexclude from comparison
DescriptionAn embedded key-value store for Go.DBMS for storing time series, events and metricsA relational database management system that stores data in columnsFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelKey-value storeTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS infowith GEO packageDocument store
Spatial DBMS
Document 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
Score0.74
Rank#220  Overall
#31  Key-value stores
Score25.83
Rank#28  Overall
#1  Time Series DBMS
Score1.72
Rank#145  Overall
#67  Relational DBMS
Score5.00
Rank#66  Overall
#36  Relational DBMS
Websitegithub.com/­boltdb/­boltwww.influxdata.com/­products/­influxdb-overviewwww.monetdb.orgtrino.io
Technical documentationdocs.influxdata.com/­influxdbwww.monetdb.org/­Documentationtrino.io/­broadcast
trino.io/­docs/­current
Social network pagesLinkedInTwitterYouTubeGitHub
DeveloperMonetDB BVTrino Software Foundation
Initial release2013201320042012 info2020 rebranded from PrestoSQL
Current release2.7.6, April 2024Dec2023 (11.49), December 2023
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoMIT-License; commercial enterprise version availableOpen Source infoMozilla Public License 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
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 languageGoGoCJava
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
OS X infothrough Homebrew
FreeBSD
Linux
OS X
Solaris
Windows
Linux
macOS infofor devlopment
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or datenoNumeric data and Stringsyesyes
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 indexesnonoyesdepending on connected data-source
SQL infoSupport of SQLnoSQL-like query languageyes infoSQL 2003 with some extensionsyes
APIs and other access methodsHTTP API
JSON over UDP
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
JDBC
RESTful HTTP API
Trino CLI
Supported programming languagesGo.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresnonoyes, in SQL, C, Ryes, depending on connected data-source
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoin enterprise version onlySharding via remote tablesdepending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor infoin enterprise version onlynone infoSource-replica replication available in experimental statusdepending on connected data-source
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnonedepending on connected data-source
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACIDdepending on connected data-source
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesdepending on connected data-source
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoDepending on used storage engine
User concepts infoAccess controlnosimple rights management via user accountsfine grained access rights according to SQL-standardSQL standard access control
More information provided by the system vendor
BoltDBInfluxDBMonetDBTrino
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Trino is the fastest open source, massively parallel processing SQL query engine...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
High performance analtyics and data processing of very large data sets Powerful ANSI...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Performant analytics query engine for data warehouses, data lakes, and data lakehouses...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Trino is widely adopted across the globe as freely-available open source software....
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
33000+ commits in GitHub 8200+ stargazers in GitHub 1200+ pull requests merged in...
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
Trino is an open source project and usage is therefore free. Commercial offerings...
» more
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