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DBMS > Apache Impala vs. Google BigQuery vs. Trino

System Properties Comparison Apache Impala vs. Google BigQuery vs. Trino

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonTrino  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopLarge scale data warehouse service with append-only tablesFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelRelational DBMSRelational DBMSRelational 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
Score11.68
Rank#41  Overall
#25  Relational DBMS
Score62.88
Rank#19  Overall
#13  Relational DBMS
Score5.34
Rank#60  Overall
#34  Relational DBMS
Websiteimpala.apache.orgcloud.google.com/­bigquerytrino.io
Technical documentationimpala.apache.org/­impala-docs.htmlcloud.google.com/­bigquery/­docstrino.io/­broadcast
trino.io/­docs/­current
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaGoogleTrino Software Foundation
Initial release201320102012 info2020 rebranded from PrestoSQL
Current release4.1.0, June 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java
Server operating systemsLinuxhostedLinux
macOS infofor devlopment
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesnodepending on connected data-source
SQL infoSupport of SQLSQL-like DML and DDL statementsyesyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP/JSON APIJDBC
RESTful HTTP API
Trino CLI
Supported programming languagesAll languages supporting JDBC/ODBC.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceuser defined functions infoin JavaScriptyes, depending on connected data-source
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingnonedepending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factordepending on connected data-source
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistencydepending on connected data-source
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoSince BigQuery is designed for querying datadepending 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.nono
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)SQL standard access control
More information provided by the system vendor
Apache ImpalaGoogle BigQueryTrino
News

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9 April 2025

Core Principles and Design Practices of OLAP Engines
27 March 2025

72: Keeping the lake clean
17 March 2025

Twenty four
3 March 2025

71: Fake it real good
27 February 2025

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Apache ImpalaGoogle BigQueryTrino
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