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DBMS > ArangoDB vs. NSDb vs. Trino

System Properties Comparison ArangoDB vs. NSDb vs. Trino

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Editorial information provided by DB-Engines
NameArangoDB  Xexclude from comparisonNSDb  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.Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesFast 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
Time Series 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
Score0.01
Rank#384  Overall
#41  Time Series DBMS
Score5.13
Rank#78  Overall
#42  Relational DBMS
Websitearangodb.comnsdb.iotrino.io
Technical documentationdocs.arangodb.comnsdb.io/­Architecturetrino.io/­broadcast
trino.io/­docs/­current
Social network pagesLinkedInTwitterFacebookYouTubeInstagramLinkedInTwitterYouTubeGitHub
DeveloperArangoDB Inc.Trino Software Foundation
Initial release201220172012 info2020 rebranded from PrestoSQL
Current release3.11.5, November 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial license (Enterprise) availableOpen 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.
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++Java, ScalaJava
Server operating systemsLinux
OS X
Windows
Linux
macOS
Linux
macOS infofor devlopment
Data schemeschema-free infoautomatically recognizes schema within a collectionyes
Typing infopredefined data types such as float or dateyes infostring, double, boolean, list, hashyes: int, bigint, decimal, stringyes
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 indexesyesall fields are automatically indexeddepending on connected data-source
SQL infoSupport of SQLnoSQL-like query languageyes
APIs and other access methodsAQL
Foxx Framework
Graph API (Gremlin)
GraphQL query language
HTTP API
Java & SpringData
JSON style queries
VelocyPack/VelocyStream
gRPC
HTTP REST
WebSocket
JDBC
RESTful HTTP API
Trino CLI
Supported programming languagesC#
C++
Clojure
Elixir
Go
Java
JavaScript (Node.js)
PHP
Python
R
Rust
Java
Scala
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresJavaScriptnoyes, depending on connected data-source
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesSharding infosince version 2.0Shardingdepending 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 JavaScriptnono
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)
Eventual Consistencydepending on connected data-source
Foreign keys infoReferential integrityyes inforelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnodepending on connected data-source
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesUsing Apache Lucenedepending on connected data-source
User concepts infoAccess controlyesSQL standard access control
More information provided by the system vendor
ArangoDBNSDbTrino
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

Japanese edition of Trino: The Definitive Guide
27 February 2024

56: The vast possibilities of VAST and Trino
22 February 2024

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

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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
ArangoDBNSDbTrino
DB-Engines blog posts

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

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Recent citations in the news

ArangoGraphML: Simplifying the Power of Graph Machine Learning
11 October 2023, Datanami

ArangoDB Boosts Performance and Usability Across Search, Graph, and Analytics with Release of ArangoDB 3.11
30 May 2023, PR Web

How to Build Knowledge Graph Enhanced Chatbot with ChatGPT and ArangoDB
30 June 2023, DataDrivenInvestor

Graph Database Market worth $7.3 billion by 2028 - Exclusive Report by MarketsandMarkets™
30 August 2023, PR Newswire

ArangoDB brings yet more money into graph database market with $27.8M round
6 October 2021, SiliconANGLE News

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

Query big data with resilience using Trino in Amazon EMR with Amazon EC2 Spot Instances for less cost | Amazon ...
4 October 2023, AWS Blog

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

Trino: The Open-source Data Query Engine That Split from Facebook
30 March 2022, hackernoon.com

provided by Google News



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