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DBMS > ArangoDB vs. Kyligence Enterprise vs. Trino

System Properties Comparison ArangoDB vs. Kyligence Enterprise vs. Trino

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Editorial information provided by DB-Engines
NameArangoDB  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonTrino  Xexclude from comparison
DescriptionNative multi-model DBMS for graph, document, key/value and search. All in one engine and accessible with one query language.A distributed analytics engine for big data, built on top of Apache KylinFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelDocument store
Graph DBMS
Key-value store
Search engine
Relational 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
Score4.34
Rank#85  Overall
#14  Document stores
#5  Graph DBMS
#12  Key-value stores
#10  Search engines
Score0.37
Rank#288  Overall
#129  Relational DBMS
Score5.13
Rank#78  Overall
#42  Relational DBMS
Websitewww.arangodb.comkyligence.io/­kyligence-enterprisetrino.io
Technical documentationdocs.arangodb.comtrino.io/­broadcast
trino.io/­docs/­current
Social network pagesLinkedInTwitterFacebookYouTubeInstagramLinkedInTwitterYouTubeGitHub
DeveloperArangoDB Inc.Kyligence, Inc.Trino Software Foundation
Initial release201220162012 info2020 rebranded from PrestoSQL
Current release3.11.5, November 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial license (Enterprise) availablecommercialOpen 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.
ArangoDB Cloud –The Managed Cloud Service of ArangoDB. Provides fully managed, and monitored cluster deployments of any size, with enterprise-grade security. Get started for free and continue for as little as $0,21/hour.Starburst Galaxy offers a feature-rich user interface to connect all your data sources, manage your Trino clusters, and query your data.
Implementation languageC++JavaJava
Server operating systemsLinux
OS X
Windows
LinuxLinux
macOS infofor devlopment
Data schemeschema-free infoautomatically recognizes schema within a collectionyesyes
Typing infopredefined data types such as float or dateyes infostring, double, boolean, list, hashyesyes
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.nono
Secondary indexesyesyesdepending on connected data-source
SQL infoSupport of SQLnoANSI SQL for queries (using Apache Calcite)yes
APIs and other access methodsAQL
Foxx Framework
Graph API (Gremlin)
GraphQL query language
HTTP API
Java & SpringData
JSON style queries
VelocyPack/VelocyStream
JDBC
ODBC
RESTful HTTP API
JDBC
RESTful HTTP API
Trino CLI
Supported programming languagesC#
C++
Clojure
Elixir
Go
Java
JavaScript (Node.js)
PHP
Python
R
Rust
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresJavaScriptyes, depending on connected data-source
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesSharding infosince version 2.0depending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with configurable replication factordepending on connected data-source
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infocan be done with stored procedures in JavaScriptyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoconfigurable per collection or per write
Immediate Consistency
OneShard (highly available, fault-tolerant deployment mode with ACID semantics)
Immediate Consistencydepending on connected data-source
Foreign keys infoReferential integrityyes inforelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDdepending 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 controlyesSQL standard access control
More information provided by the system vendor
ArangoDBKyligence EnterpriseTrino
Specific characteristicsGraph and Beyond. With more than 11,000 stargazers on GitHub, ArangoDB is the leading...
» more
Trino is the fastest open source, massively parallel processing SQL query engine...
» more
Competitive advantagesConsolidation: As a native multi-model database, can be used as a full blown document...
» more
High performance analtyics and data processing of very large data sets Powerful ANSI...
» more
Typical application scenariosNative multi-model in ArangoDB is being used for a broad range of projects across...
» more
Performant analytics query engine for data warehouses, data lakes, and data lakehouses...
» more
Key customersCisco, Barclays, Refinitive, Siemens Mentor, Kabbage, Liaison, Douglas, MakeMyTrip,...
» more
Trino is widely adopted across the globe as freely-available open source software....
» more
Market metricsArangoDB is the leading native multi-model database with over 11,000 stargazers on...
» more
33000+ commits in GitHub 8200+ stargazers in GitHub 1200+ pull requests merged in...
» more
Licensing and pricing modelsVery permissive Apache 2 License for Community Edition & commercial licenses are...
» more
Trino is an open source project and usage is therefore free. Commercial offerings...
» more
News

Trino Fest goes to Boston in 2024
20 February 2024

Open Policy Agent for Trino arrived
6 February 2024

Trino 2023 wrapped
19 January 2024

55: Commander Bun Bun peeks at Peaka
18 January 2024

54: Trino 2023 wrapped
18 January 2024

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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
ArangoDBKyligence EnterpriseTrino
DB-Engines blog posts

The Weight of Relational Databases: Time for Multi-Model?
29 August 2017, Luca Olivari (guest author)

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