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DBMS > EsgynDB vs. InfluxDB vs. Trino vs. Warp 10

System Properties Comparison EsgynDB vs. InfluxDB vs. Trino vs. Warp 10

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Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonInfluxDB  Xexclude from comparisonTrino  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionDBMS for storing time series, events and metricsFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQLTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelRelational DBMSTime Series DBMSRelational DBMSTime Series DBMS
Secondary database modelsSpatial DBMS infowith GEO packageDocument 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#329  Overall
#146  Relational DBMS
Score25.83
Rank#28  Overall
#1  Time Series DBMS
Score5.00
Rank#66  Overall
#36  Relational DBMS
Score0.07
Rank#349  Overall
#32  Time Series DBMS
Websitewww.esgyn.cnwww.influxdata.com/­products/­influxdb-overviewtrino.iowww.warp10.io
Technical documentationdocs.influxdata.com/­influxdbtrino.io/­broadcast
trino.io/­docs/­current
www.warp10.io/­content/­02_Getting_started
Social network pagesLinkedInTwitterYouTubeGitHub
DeveloperEsgynTrino Software FoundationSenX
Initial release201520132012 info2020 rebranded from PrestoSQL2015
Current release2.7.6, April 2024
License infoCommercial or Open SourcecommercialOpen Source infoMIT-License; commercial enterprise version availableOpen Source infoApache Version 2.0Open Source infoApache License 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 languageC++, JavaGoJavaJava
Server operating systemsLinuxLinux
OS X infothrough Homebrew
Linux
macOS infofor devlopment
Linux
OS X
Windows
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesNumeric 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.nononono
Secondary indexesyesnodepending on connected data-sourceno
SQL infoSupport of SQLyesSQL-like query languageyesno
APIs and other access methodsADO.NET
JDBC
ODBC
HTTP API
JSON over UDP
JDBC
RESTful HTTP API
Trino CLI
HTTP API
Jupyter
WebSocket
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.Net.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresJava Stored Proceduresnoyes, depending on connected data-sourceyes infoWarpScript
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoin enterprise version onlydepending on connected data-sourceSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersselectable replication factor infoin enterprise version onlydepending on connected data-sourceselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencydepending on connected data-sourceImmediate Consistency infobased on HBase
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnodepending on connected data-sourceno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesdepending on connected data-sourceyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoDepending on used storage engineyes
User concepts infoAccess controlfine grained access rights according to SQL-standardsimple rights management via user accountsSQL standard access controlMandatory use of cryptographic tokens, containing fine-grained authorizations
More information provided by the system vendor
EsgynDBInfluxDBTrinoWarp 10
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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
EsgynDBInfluxDBTrinoWarp 10
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Recent citations in the news

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