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DBMS > Apache Impala vs. ArangoDB vs. Trino

System Properties Comparison Apache Impala vs. ArangoDB vs. Trino

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonArangoDB  Xexclude from comparisonTrino  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopNative multi-model DBMS for graph, document, key/value and search. All in one engine and accessible with one query language.Fast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelRelational DBMSDocument store
Graph DBMS
Key-value store
Search engine
Relational DBMS
Secondary database modelsDocument storeDocument 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
Score12.57
Rank#40  Overall
#24  Relational DBMS
Score3.42
Rank#85  Overall
#14  Document stores
#5  Graph DBMS
#10  Key-value stores
#10  Search engines
Score5.44
Rank#59  Overall
#34  Relational DBMS
Websiteimpala.apache.orgarangodb.comtrino.io
Technical documentationimpala.apache.org/­impala-docs.htmldocs.arangodb.comtrino.io/­broadcast
trino.io/­docs/­current
Social network pagesLinkedInTwitterYouTubeFacebookInstagramLinkedInTwitterYouTubeGitHub
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaArangoDB Inc.Trino Software Foundation
Initial release201320122012 info2020 rebranded from PrestoSQL
Current release4.1.0, June 20223.11.5, November 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2; Commercial license (Enterprise) availableOpen 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++C++Java
Server operating systemsLinuxLinux
OS X
Windows
Linux
macOS infofor devlopment
Data schemeyesschema-free infoautomatically recognizes schema within a collectionyes
Typing infopredefined data types such as float or dateyesyes infostring, double, boolean, list, hashyes
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 SQLSQL-like DML and DDL statementsnoyes
APIs and other access methodsJDBC
ODBC
AQL
Foxx Framework
Graph API (Gremlin)
GraphQL query language
HTTP API
Java & SpringData
JSON style queries
VelocyPack/VelocyStream
JDBC
RESTful HTTP API
Trino CLI
Supported programming languagesAll languages supporting JDBC/ODBCC#
C++
Clojure
Elixir
Go
Java
JavaScript (Node.js)
PHP
Python
R
Rust
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceJavaScriptyes, depending on connected data-source
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infosince version 2.0depending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replication with configurable replication factordepending on connected data-source
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceno infocan be done with stored procedures in JavaScriptno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency infoconfigurable per collection or per write
Immediate Consistency
OneShard (highly available, fault-tolerant deployment mode with ACID semantics)
depending on connected data-source
Foreign keys infoReferential integritynoyes inforelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDdepending 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 controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosyesSQL standard access control
More information provided by the system vendor
Apache ImpalaArangoDBTrino
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

62: A lakehouse that simply works at Prezi
11 July 2024

Announcing Trino Summit 2024
11 July 2024

Trino Fest 2024 recap
24 June 2024

61: Trino powers business intelligence
20 June 2024

One busy week to go before Trino Fest 2024
6 June 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
Apache ImpalaArangoDBTrino
DB-Engines blog posts

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

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