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DBMS > LMDB vs. ObjectBox vs. Solr vs. Sphinx vs. Trafodion

System Properties Comparison LMDB vs. ObjectBox vs. Solr vs. Sphinx vs. Trafodion

Editorial information provided by DB-Engines
NameLMDB  Xexclude from comparisonObjectBox  Xexclude from comparisonSolr  Xexclude from comparisonSphinx  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA high performant, light-weight, embedded key-value database libraryExtremely fast embedded database for small devices, IoT and MobileA widely used distributed, scalable search engine based on Apache LuceneOpen source search engine for searching in data from different sources, e.g. relational databasesTransactional SQL-on-Hadoop DBMS
Primary database modelKey-value storeObject oriented DBMSSearch engineSearch engineRelational DBMS
Secondary database modelsTime Series DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.09
Rank#121  Overall
#20  Key-value stores
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Score5.95
Rank#55  Overall
#5  Search engines
Websitewww.symas.com/­symas-embedded-database-lmdbobjectbox.iosolr.apache.orgsphinxsearch.comtrafodion.apache.org
Technical documentationwww.lmdb.tech/­docdocs.objectbox.iosolr.apache.org/­resources.htmlsphinxsearch.com/­docstrafodion.apache.org/­documentation.html
DeveloperSymasObjectBox LimitedApache Software FoundationSphinx Technologies Inc.Apache Software Foundation, originally developed by HP
Initial release20112017200620012014
Current release0.9.32, January 20249.6.1, May 20243.5.1, February 20232.3.0, February 2019
License infoCommercial or Open SourceOpen SourceOpen Source infoApache License 2.0Open Source infoApache Version 2Open Source infoGPL version 2, commercial licence availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC and C++JavaC++C++, Java
Server operating systemsLinux
Unix
Windows
Android
iOS
Linux
macOS
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
Data schemeschema-freeyesyes 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 typingnoyes
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.nonoyesno
Secondary indexesnoyesyes infoAll search fields are automatically indexedyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLnonoSolr Parallel SQL InterfaceSQL-like query language (SphinxQL)yes
APIs and other access methodsProprietary native APIJava API
RESTful HTTP/JSON API
Proprietary protocolADO.NET
JDBC
ODBC
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
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnonoJava pluginsnoJava Stored Procedures
Triggersnonoyes infoUser configurable commands triggered on index changesnono
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneonline/offline synchronization between client and serveryesnoneyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reducenoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDoptimistic lockingnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesno
User concepts infoAccess controlnoyesyesnofine grained access rights according to SQL-standard
More information provided by the system vendor
LMDBObjectBoxSolrSphinxTrafodion
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