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DBMS > Apache Drill vs. Apache Impala vs. LevelDB vs. OpenQM vs. Trino

System Properties Comparison Apache Drill vs. Apache Impala vs. LevelDB vs. OpenQM vs. Trino

Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonApache Impala  Xexclude from comparisonLevelDB  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonTrino  Xexclude from comparison
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageAnalytic DBMS for HadoopEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesQpenQM is a high-performance, self-tuning, multi-value DBMSFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelDocument store
Relational DBMS
Relational DBMSKey-value storeMultivalue 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
Score1.95
Rank#127  Overall
#23  Document stores
#60  Relational DBMS
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score2.35
Rank#111  Overall
#19  Key-value stores
Score0.27
Rank#298  Overall
#10  Multivalue DBMS
Score5.00
Rank#66  Overall
#36  Relational DBMS
Websitedrill.apache.orgimpala.apache.orggithub.com/­google/­leveldbwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmtrino.io
Technical documentationdrill.apache.org/­docsimpala.apache.org/­impala-docs.htmlgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdtrino.io/­broadcast
trino.io/­docs/­current
Social network pagesLinkedInTwitterYouTubeGitHub
DeveloperApache Software FoundationApache Software Foundation infoApache top-level project, originally developed by ClouderaGoogleRocket Software, originally Martin PhillipsTrino Software Foundation
Initial release20122013201119932012 info2020 rebranded from PrestoSQL
Current release1.20.3, January 20234.1.0, June 20221.23, February 20213.4-12
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2Open Source infoBSDOpen Source infoGPLv2, extended commercial license availableOpen 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 languageC++C++Java
Server operating systemsLinux
OS X
Windows
LinuxIllumos
Linux
OS X
Windows
AIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Linux
macOS infofor devlopment
Data schemeschema-freeyesschema-freeyes infowith some exceptionsyes
Typing infopredefined data types such as float or dateyesyesnoyes
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.nononoyesno
Secondary indexesnoyesnoyesdepending on connected data-source
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantSQL-like DML and DDL statementsnonoyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
JDBC
RESTful HTTP API
Trino CLI
Supported programming languagesC++All languages supporting JDBC/ODBCC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net
Basic
C
Java
Objective C
PHP
Python
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresuser defined functionsyes infouser defined functions and integration of map-reducenoyesyes, depending on connected data-source
Triggersnononoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneyesdepending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneyesdepending on connected data-source
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyImmediate ConsistencyImmediate Consistencydepending on connected data-source
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACIDdepending on connected data-source
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyesyes infowith automatic compression on writesyesdepending on connected data-source
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourceno
User concepts infoAccess controlDepending on the underlying data sourceAccess rights for users, groups and roles infobased on Apache Sentry and KerberosnoAccess rights can be defined down to the item levelSQL standard access control
More information provided by the system vendor
Apache DrillApache ImpalaLevelDBOpenQM infoalso called QMTrino
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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More resources
Apache DrillApache ImpalaLevelDBOpenQM infoalso called QMTrino
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