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DBMS > AlaSQL vs. Apache Impala vs. H2 vs. SQream DB vs. Trino

System Properties Comparison AlaSQL vs. Apache Impala vs. H2 vs. SQream DB vs. Trino

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonApache Impala  Xexclude from comparisonH2  Xexclude from comparisonSQream DB  Xexclude from comparisonTrino  Xexclude from comparison
DescriptionJavaScript DBMS libraryAnalytic DBMS for HadoopFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.a GPU-based, columnar RDBMS for big data analytics workloadsFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelDocument store
Relational DBMS
Relational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument storeSpatial DBMSDocument 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
Score0.46
Rank#260  Overall
#40  Document stores
#121  Relational DBMS
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score0.70
Rank#227  Overall
#104  Relational DBMS
Score5.00
Rank#66  Overall
#36  Relational DBMS
Websitealasql.orgimpala.apache.orgwww.h2database.comsqream.comtrino.io
Technical documentationgithub.com/­AlaSQL/­alasqlimpala.apache.org/­impala-docs.htmlwww.h2database.com/­html/­main.htmldocs.sqream.comtrino.io/­broadcast
trino.io/­docs/­current
Social network pagesLinkedInTwitterYouTubeGitHub
DeveloperAndrey Gershun & Mathias R. WulffApache Software Foundation infoApache top-level project, originally developed by ClouderaThomas MuellerSQream TechnologiesTrino Software Foundation
Initial release20142013200520172012 info2020 rebranded from PrestoSQL
Current release4.1.0, June 20222.2.220, July 20232022.1.6, December 2022
License infoCommercial or Open SourceOpen Source infoMIT-LicenseOpen Source infoApache Version 2Open Source infodual-licence (Mozilla public license, Eclipse public license)commercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
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 languageJavaScriptC++JavaC++, CUDA, Haskell, Java, ScalaJava
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)LinuxAll OS with a Java VMLinuxLinux
macOS infofor devlopment
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or datenoyesyesyes, ANSI Standard SQL Typesyes
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 indexesnoyesyesnodepending on connected data-source
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.SQL-like DML and DDL statementsyesyesyes
APIs and other access methodsJavaScript APIJDBC
ODBC
JDBC
ODBC
.Net
JDBC
ODBC
JDBC
RESTful HTTP API
Trino CLI
Supported programming languagesJavaScriptAll languages supporting JDBC/ODBCJavaC++
Java
JavaScript (Node.js)
Python
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceJava Stored Procedures and User-Defined Functionsuser defined functions in Pythonyes, depending on connected data-source
Triggersyesnoyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnonehorizontal and vertical partitioningdepending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factorWith clustering: 2 database servers on different computers operate on identical copies of a databasenonedepending on connected data-source
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyImmediate ConsistencyImmediate Consistencydepending on connected data-source
Foreign keys infoReferential integrityyesnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storagenoACIDACIDdepending on connected data-source
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesyesdepending on connected data-source
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlnoAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosfine grained access rights according to SQL-standardSQL standard access control
More information provided by the system vendor
AlaSQLApache ImpalaH2SQream DBTrino
Specific characteristicsTrino is the fastest open source, massively parallel processing SQL query engine...
» more
Competitive advantagesHigh performance analtyics and data processing of very large data sets Powerful ANSI...
» more
Typical application scenariosPerformant analytics query engine for data warehouses, data lakes, and data lakehouses...
» more
Key customersTrino is widely adopted across the globe as freely-available open source software....
» more
Market metrics33000+ commits in GitHub 8200+ stargazers in GitHub 1200+ pull requests merged in...
» more
Licensing and pricing modelsTrino is an open source project and usage is therefore free. Commercial offerings...
» more
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58: Understanding your users with Trino and Mitzu
4 April 2024

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
AlaSQLApache ImpalaH2SQream DBTrino
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