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DBMS > Apache Pinot vs. GeoSpock vs. Lovefield vs. TerarkDB vs. Trino

System Properties Comparison Apache Pinot vs. GeoSpock vs. Lovefield vs. TerarkDB vs. Trino

Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonGeoSpock  Xexclude from comparisonLovefield  Xexclude from comparisonTerarkDB  Xexclude from comparisonTrino  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencySpatial and temporal data processing engine for extreme data scaleEmbeddable relational database for web apps written in pure JavaScriptA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDBFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelRelational DBMSRelational DBMSRelational DBMSKey-value storeRelational DBMS
Secondary database modelsTime Series 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
Score0.40
Rank#270  Overall
#125  Relational DBMS
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Score5.00
Rank#66  Overall
#36  Relational DBMS
Websitepinot.apache.orggeospock.comgoogle.github.io/­lovefieldgithub.com/­bytedance/­terarkdbtrino.io
Technical documentationdocs.pinot.apache.orggithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKctrino.io/­broadcast
trino.io/­docs/­current
Social network pagesLinkedInTwitterYouTubeGitHub
DeveloperApache Software Foundation and contributorsGeoSpockGoogleByteDance, originally TerarkTrino Software Foundation
Initial release2015201420162012 info2020 rebranded from PrestoSQL
Current release1.0.0, September 20232.0, September 20192.1.12, February 2017
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0commercial inforestricted open source version availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
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 languageJavaJava, JavascriptJavaScriptC++Java
Server operating systemsAll OS with a Java JDK11 or higherhostedserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
macOS infofor devlopment
Data schemeyesyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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.nononono
Secondary indexestemporal, categoricalyesnodepending on connected data-source
SQL infoSupport of SQLSQL-like query languageANSI SQL for query only (using Presto)SQL-like query language infovia JavaScript builder patternnoyes
APIs and other access methodsJDBCJDBCC++ API
Java API
JDBC
RESTful HTTP API
Trino CLI
Supported programming languagesGo
Java
Python
JavaScriptC++
Java
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresnononoyes, depending on connected data-source
TriggersnoUsing read-only observersnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningAutomatic shardingnonenonedepending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesnonenonedepending on connected data-source
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencydepending on connected data-source
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnodepending on connected data-source
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesdepending on connected data-source
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infousing MemoryDByes
User concepts infoAccess controlAccess rights for users can be defined per tablenonoSQL standard access control
More information provided by the system vendor
Apache PinotGeoSpockLovefieldTerarkDBTrino
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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Apache PinotGeoSpockLovefieldTerarkDBTrino
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