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DBMS > TimescaleDB vs. TimesTen vs. Transwarp Hippo vs. Trino

System Properties Comparison TimescaleDB vs. TimesTen vs. Transwarp Hippo vs. Trino

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Editorial information provided by DB-Engines
NameTimescaleDB  Xexclude from comparisonTimesTen  Xexclude from comparisonTranswarp Hippo  Xexclude from comparisonTrino  Xexclude from comparison
DescriptionA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQLIn-Memory RDBMS compatible to OracleCloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasetsFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelTime Series DBMSRelational DBMSVector DBMSRelational DBMS
Secondary database modelsRelational 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
Score4.46
Rank#71  Overall
#5  Time Series DBMS
Score1.36
Rank#161  Overall
#75  Relational DBMS
Score0.05
Rank#386  Overall
#14  Vector DBMS
Score4.99
Rank#65  Overall
#36  Relational DBMS
Websitewww.timescale.comwww.oracle.com/­database/­technologies/­related/­timesten.htmlwww.transwarp.cn/­en/­subproduct/­hippotrino.io
Technical documentationdocs.timescale.comdocs.oracle.com/­database/­timesten-18.1trino.io/­broadcast
trino.io/­docs/­current
Social network pagesLinkedInTwitterYouTubeGitHub
DeveloperTimescaleOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005Trino Software Foundation
Initial release2017199820232012 info2020 rebranded from PrestoSQL
Current release2.15.0, May 202411 Release 2 (11.2.2.8.0)1.0, May 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialOpen 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 languageCC++Java
Server operating systemsLinux
OS X
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
macOS
Linux
macOS infofor devlopment
Data schemeyesyesyes
Typing infopredefined data types such as float or datenumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data typesyesVector, Numeric and Stringyes
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.yesnonono
Secondary indexesyesyesnodepending on connected data-source
SQL infoSupport of SQLyes infofull PostgreSQL SQL syntaxyesnoyes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
RESTful HTTP APIJDBC
RESTful HTTP API
Trino CLI
Supported programming languages.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
C
C++
Java
PL/SQL
C++
Java
Python
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shellPL/SQLnoyes, depending on connected data-source
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesyes, across time and space (hash partitioning) attributesnoneShardingdepending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with hot standby and reads on replicas infoMulti-source replication
Source-replica replication
depending on connected data-source
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistencydepending on connected data-source
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnodepending on connected data-source
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoby means of logfiles and checkpointsyesdepending on connected data-source
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardRole based access control and fine grained access rightsSQL standard access control
More information provided by the system vendor
TimescaleDBTimesTenTranswarp HippoTrino
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...
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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

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22 May 2024

Big names round out the Trino Fest 2024 lineup
8 May 2024

59: Querying Trino with Java and jOOQ
24 April 2024

A sneak peek of Trino Fest 2024
15 April 2024

Time travel in Delta Lake connector
11 April 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
TimescaleDBTimesTenTranswarp HippoTrino
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