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DBMS > IRONdb vs. Solr vs. Trino vs. Yaacomo

System Properties Comparison IRONdb vs. Solr vs. Trino vs. Yaacomo

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Editorial information provided by DB-Engines
NameIRONdb  Xexclude from comparisonSolr  Xexclude from comparisonTrino  Xexclude from comparisonYaacomo  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityA widely used distributed, scalable search engine based on Apache LuceneFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQLOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelTime Series DBMSSearch engineRelational DBMSRelational DBMS
Secondary database modelsSpatial 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
Score42.91
Rank#24  Overall
#3  Search engines
Score5.00
Rank#66  Overall
#36  Relational DBMS
Websitewww.circonus.com/solutions/time-series-database/solr.apache.orgtrino.ioyaacomo.com
Technical documentationdocs.circonus.com/irondb/category/getting-startedsolr.apache.org/­resources.htmltrino.io/­broadcast
trino.io/­docs/­current
Social network pagesLinkedInTwitterYouTubeGitHub
DeveloperCirconus LLC.Apache Software FoundationTrino Software FoundationQ2WEB GmbH
Initial release201720062012 info2020 rebranded from PrestoSQL2009
Current releaseV0.10.20, January 20189.6.0, April 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoApache Version 2.0commercial
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 and C++JavaJava
Server operating systemsLinuxAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
macOS infofor devlopment
Android
Linux
Windows
Data schemeschema-freeyes infoDynamic Fields enables on-the-fly addition of new fieldsyesyes
Typing infopredefined data types such as float or dateyes infotext, numeric, histogramsyes infosupports customizable data types and automatic typingyesyes
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.noyesnono
Secondary indexesnoyes infoAll search fields are automatically indexeddepending on connected data-sourceyes
SQL infoSupport of SQLSQL-like query language (Circonus Analytics Query Language: CAQL)Solr Parallel SQL Interfaceyesyes
APIs and other access methodsHTTP APIJava API
RESTful HTTP/JSON API
JDBC
RESTful HTTP API
Trino CLI
JDBC
ODBC
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresyes, in LuaJava pluginsyes, depending on connected data-source
Triggersnoyes infoUser configurable commands triggered on index changesnoyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic, metric affinity per nodeShardingdepending on connected data-sourcehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter awareyesdepending on connected data-sourceSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency per node, eventual consistency across nodesEventual Consistencydepending on connected data-sourceImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanooptimistic lockingdepending on connected data-sourceACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesdepending on connected data-sourceyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlnoyesSQL standard access controlfine grained access rights according to SQL-standard
More information provided by the system vendor
IRONdbSolrTrinoYaacomo
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
IRONdbSolrTrinoYaacomo
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