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DBMS > Bangdb vs. PostGIS vs. STSdb vs. Trino

System Properties Comparison Bangdb vs. PostGIS vs. STSdb vs. Trino

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonPostGIS  Xexclude from comparisonSTSdb  Xexclude from comparisonTrino  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphSpatial extension of PostgreSQLKey-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 modelDocument store
Graph DBMS
Time Series DBMS
Spatial DBMSKey-value storeRelational DBMS
Secondary database modelsSpatial DBMSRelational 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
Score0.08
Rank#347  Overall
#47  Document stores
#34  Graph DBMS
#31  Time Series DBMS
Score22.69
Rank#29  Overall
#1  Spatial DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Score5.00
Rank#66  Overall
#36  Relational DBMS
Websitebangdb.compostgis.netgithub.com/­STSSoft/­STSdb4trino.io
Technical documentationdocs.bangdb.compostgis.net/­documentationtrino.io/­broadcast
trino.io/­docs/­current
Social network pagesLinkedInTwitterYouTubeGitHub
DeveloperSachin Sinha, BangDBSTS Soft SCTrino Software Foundation
Initial release2012200520112012 info2020 rebranded from PrestoSQL
Current releaseBangDB 2.0, October 20213.4.2, February 20244.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoGPL v2.0Open 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

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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++CC#Java
Server operating systemsLinuxWindowsLinux
macOS infofor devlopment
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesyes 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.noyesno
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyesnodepending on connected data-source
SQL infoSupport of SQLSQL like support with command line toolyesnoyes
APIs and other access methodsProprietary protocol
RESTful HTTP API
.NET Client APIJDBC
RESTful HTTP API
Trino CLI
Supported programming languagesC
C#
C++
Java
Python
C#
Java
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresnouser defined functionsnoyes, depending on connected data-source
Triggersyes, Notifications (with Streaming only)yesnono
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmyes infobased on PostgreSQLnonedepending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)yes infobased on PostgreSQLnonedepending on connected data-source
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate Consistencydepending on connected data-source
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnodepending on connected data-source
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyesdepending on connected data-source
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, run db with in-memory only modeno
User concepts infoAccess controlyes (enterprise version only)yes infobased on PostgreSQLnoSQL standard access control
More information provided by the system vendor
BangdbPostGISSTSdbTrino
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...
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Key customersTrino is widely adopted across the globe as freely-available open source software....
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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...
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More resources
BangdbPostGISSTSdbTrino
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