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DBMS > QuestDB vs. Spark SQL vs. Teradata vs. Trino

System Properties Comparison QuestDB vs. Spark SQL vs. Teradata vs. Trino

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Editorial information provided by DB-Engines
NameQuestDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonTeradata  Xexclude from comparisonTrino  Xexclude from comparison
DescriptionA high performance open source SQL database for time series dataSpark SQL is a component on top of 'Spark Core' for structured data processingA hybrid cloud data analytics software platform (Teradata Vantage)Fast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelTime Series DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsRelational DBMSDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
Document 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
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score45.33
Rank#21  Overall
#15  Relational DBMS
Score5.00
Rank#66  Overall
#36  Relational DBMS
Websitequestdb.iospark.apache.org/­sqlwww.teradata.comtrino.io
Technical documentationquestdb.io/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.teradata.comtrino.io/­broadcast
trino.io/­docs/­current
Social network pagesLinkedInTwitterYouTubeGitHub
DeveloperQuestDB Technology IncApache Software FoundationTeradataTrino Software Foundation
Initial release2014201419842012 info2020 rebranded from PrestoSQL
Current release3.5.0 ( 2.13), September 2023Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0commercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
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 languageJava (Zero-GC), C++, RustScalaJava
Server operating systemsLinux
macOS
Windows
Linux
OS X
Windows
hosted
Linux
Linux
macOS infofor devlopment
Data schemeyes infoschema-free via InfluxDB Line Protocolyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonoyesno
Secondary indexesnonoyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash indexdepending on connected data-source
SQL infoSupport of SQLSQL with time-series extensionsSQL-like DML and DDL statementsyes infoSQL 2016 + extensionsyes
APIs and other access methodsHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
JDBC
ODBC
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
JDBC
RESTful HTTP API
Trino CLI
Supported programming languagesC infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Java
Python
R
Scala
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresnonoyes infoUDFs, stored procedures, table functions in parallelyes, depending on connected data-source
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by timestamps)yes, utilizing Spark CoreSharding infoHashingdepending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with eventual consistencynoneMulti-source replication
Source-replica replication
depending on connected data-source
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistencydepending on connected data-source
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID for single-table writesnoACIDdepending on connected data-source
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesdepending on connected data-source
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infothrough memory mapped filesnoyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardSQL standard access control
More information provided by the system vendor
QuestDBSpark SQLTeradataTrino
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
Trino is the fastest open source, massively parallel processing SQL query engine...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
High performance analtyics and data processing of very large data sets Powerful ANSI...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Performant analytics query engine for data warehouses, data lakes, and data lakehouses...
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Trino 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 modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
Trino is an open source project and usage is therefore free. Commercial offerings...
» more
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More resources
QuestDBSpark SQLTeradataTrino
DB-Engines blog posts

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