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DBMS > Hypertable vs. PouchDB vs. STSdb vs. Trino

System Properties Comparison Hypertable vs. PouchDB vs. STSdb vs. Trino

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Editorial information provided by DB-Engines
NameHypertable  Xexclude from comparisonPouchDB  Xexclude from comparisonSTSdb  Xexclude from comparisonTrino  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionAn open source BigTable implementation based on distributed file systems such as HadoopJavaScript DBMS with an API inspired by CouchDBKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelWide column storeDocument storeKey-value storeRelational DBMS
Secondary database modelsDocument 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
Score2.28
Rank#115  Overall
#21  Document stores
Score0.04
Rank#360  Overall
#52  Key-value stores
Score5.00
Rank#66  Overall
#36  Relational DBMS
Websitepouchdb.comgithub.com/­STSSoft/­STSdb4trino.io
Technical documentationpouchdb.com/­guidestrino.io/­broadcast
trino.io/­docs/­current
Social network pagesLinkedInTwitterYouTubeGitHub
DeveloperHypertable Inc.Apache Software FoundationSTS Soft SCTrino Software Foundation
Initial release2009201220112012 info2020 rebranded from PrestoSQL
Current release0.9.8.11, March 20167.1.1, June 20194.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoGNU version 3. Commercial license availableOpen SourceOpen Source infoGPLv2, commercial license availableOpen 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 languageC++JavaScriptC#Java
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
server-less, requires a JavaScript environment (browser, Node.js)WindowsLinux
macOS infofor devlopment
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or datenonoyes infoprimitive types and user defined types (classes)yes
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.nono
Secondary indexesrestricted infoonly exact value or prefix value scansyes infovia viewsnodepending on connected data-source
SQL infoSupport of SQLnononoyes
APIs and other access methodsC++ API
Thrift
HTTP REST infoonly for PouchDB Server
JavaScript API
.NET Client APIJDBC
RESTful HTTP API
Trino CLI
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
JavaScriptC#
Java
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresnoView functions in JavaScriptnoyes, depending on connected data-source
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infowith a proxy-based framework, named couchdb-loungenonedepending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
nonedepending on connected data-source
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistencydepending on connected data-source
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononodepending on connected data-source
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyesdepending on connected data-source
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlnononoSQL standard access control
More information provided by the system vendor
HypertablePouchDBSTSdbTrino
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
HypertablePouchDBSTSdbTrino
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