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DBMS > LMDB vs. Oracle Rdb vs. Solr vs. Spark SQL vs. Trino

System Properties Comparison LMDB vs. Oracle Rdb vs. Solr vs. Spark SQL vs. Trino

Editorial information provided by DB-Engines
NameLMDB  Xexclude from comparisonOracle Rdb  Xexclude from comparisonSolr  Xexclude from comparisonSpark SQL  Xexclude from comparisonTrino  Xexclude from comparison
DescriptionA high performant, light-weight, embedded key-value database libraryA widely used distributed, scalable search engine based on Apache LuceneSpark SQL is a component on top of 'Spark Core' for structured data processingFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelKey-value storeRelational 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
Score2.09
Rank#121  Overall
#20  Key-value stores
Score1.14
Rank#178  Overall
#80  Relational DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score4.99
Rank#65  Overall
#36  Relational DBMS
Websitewww.symas.com/­symas-embedded-database-lmdbwww.oracle.com/­database/­technologies/­related/­rdb.htmlsolr.apache.orgspark.apache.org/­sqltrino.io
Technical documentationwww.lmdb.tech/­docwww.oracle.com/­database/­technologies/­related/­rdb-doc.htmlsolr.apache.org/­resources.htmlspark.apache.org/­docs/­latest/­sql-programming-guide.htmltrino.io/­broadcast
trino.io/­docs/­current
Social network pagesLinkedInTwitterYouTubeGitHub
DeveloperSymasOracle, originally developed by Digital Equipment Corporation (DEC)Apache Software FoundationApache Software FoundationTrino Software Foundation
Initial release20111984200620142012 info2020 rebranded from PrestoSQL
Current release0.9.32, January 20247.4.1.1, 20219.6.0, April 20243.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen SourcecommercialOpen Source infoApache Version 2Open Source infoApache 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
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 languageCJavaScalaJava
Server operating systemsLinux
Unix
Windows
HP Open VMSAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
OS X
Windows
Linux
macOS infofor devlopment
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)yes infoDynamic Fields enables on-the-fly addition of new fieldsyesyes
Typing infopredefined data types such as float or dateyesyes 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.nonoyesnono
Secondary indexesnoyesyes infoAll search fields are automatically indexednodepending on connected data-source
SQL infoSupport of SQLnoyesSolr Parallel SQL InterfaceSQL-like DML and DDL statementsyes
APIs and other access methodsJava API
RESTful HTTP/JSON API
JDBC
ODBC
JDBC
RESTful HTTP API
Trino CLI
Supported programming languages.Net
C
C++
Clojure
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Nim
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Rust
Swift
Tcl
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Java
Python
R
Scala
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresnoJava pluginsnoyes, depending on connected data-source
Triggersnoyes infoUser configurable commands triggered on index changesnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingyes, utilizing Spark Coredepending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesnonedepending on connected data-source
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistencydepending on connected data-source
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes, on a single nodeoptimistic lockingnodepending on connected data-source
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesdepending on connected data-source
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesno
User concepts infoAccess controlnoyesnoSQL standard access control
More information provided by the system vendor
LMDBOracle RdbSolrSpark SQLTrino
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
LMDBOracle RdbSolrSpark SQLTrino
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