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DBMS > Apache Impala vs. KeyDB vs. Trino

System Properties Comparison Apache Impala vs. KeyDB vs. Trino

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonKeyDB  Xexclude from comparisonTrino  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelRelational DBMSKey-value storeRelational 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
Score0.63
Rank#237  Overall
#34  Key-value stores
Score5.44
Rank#59  Overall
#34  Relational DBMS
Websiteimpala.apache.orggithub.com/­Snapchat/­KeyDB
keydb.dev
trino.io
Technical documentationimpala.apache.org/­impala-docs.htmldocs.keydb.devtrino.io/­broadcast
trino.io/­docs/­current
Social network pagesLinkedInTwitterYouTubeGitHub
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaEQ Alpha Technology Ltd.Trino Software Foundation
Initial release201320192012 info2020 rebranded from PrestoSQL
Current release4.1.0, June 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoBSD-3Open 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.
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 systemsLinuxLinuxLinux
macOS infofor devlopment
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyes
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 indexesyesyes infoby using the Redis Search moduledepending on connected data-source
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyes
APIs and other access methodsJDBC
ODBC
Proprietary protocol infoRESP - REdis Serialization ProtocoJDBC
RESTful HTTP API
Trino CLI
Supported programming languagesAll languages supporting JDBC/ODBCC
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceLuayes, depending on connected data-source
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingdepending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication
Source-replica replication
depending 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 ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
depending on connected data-source
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoOptimistic locking, atomic execution of commands blocks and scriptsdepending on connected data-source
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsdepending on connected data-source
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberossimple password-based access control and ACLSQL standard access control
More information provided by the system vendor
Apache ImpalaKeyDBTrino
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
News

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

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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 ImpalaKeyDBTrino
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