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DBMS > Apache Impala vs. Trino vs. VictoriaMetrics

System Properties Comparison Apache Impala vs. Trino vs. VictoriaMetrics

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonTrino  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQLA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelRelational DBMSRelational DBMSTime Series 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
Score10.08
Rank#41  Overall
#25  Relational DBMS
Score5.47
Rank#62  Overall
#35  Relational DBMS
Score1.29
Rank#160  Overall
#15  Time Series DBMS
Websiteimpala.apache.orgtrino.iovictoriametrics.com
Technical documentationimpala.apache.org/­impala-docs.htmltrino.io/­broadcast
trino.io/­docs/­current
docs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaTrino Software FoundationVictoriaMetrics
Initial release20132012 info2020 rebranded from PrestoSQL2018
Current release4.1.0, June 2022v1.91, May 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaGo
Server operating systemsLinuxLinux
macOS infofor devlopment
FreeBSD
Linux
macOS
OpenBSD
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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 indexesyesdepending on connected data-source
SQL infoSupport of SQLSQL-like DML and DDL statementsyesno
APIs and other access methodsJDBC
ODBC
JDBC
RESTful HTTP API
Trino CLI
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesAll languages supporting JDBC/ODBCGo
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes, depending on connected data-sourceno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingdepending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factordepending on connected data-sourceSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistencydepending on connected data-sourceEventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanodepending on connected data-sourceno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesdepending on connected data-sourceyes
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 KerberosSQL standard access control
More information provided by the system vendor
Apache ImpalaTrinoVictoriaMetrics
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Apache ImpalaTrinoVictoriaMetrics
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