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DBMS > LMDB vs. NCache vs. Oracle Rdb vs. Solr

System Properties Comparison LMDB vs. NCache vs. Oracle Rdb vs. Solr

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Editorial information provided by DB-Engines
NameLMDB  Xexclude from comparisonNCache  Xexclude from comparisonOracle Rdb  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionA high performant, light-weight, embedded key-value database libraryOpen-Source and Enterprise in-memory Key-Value StoreA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelKey-value storeKey-value storeRelational DBMSSearch engine
Secondary database modelsDocument store
Search engine infoUsing distributed Lucene
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.33
Rank#118  Overall
#21  Key-value stores
Score0.98
Rank#196  Overall
#29  Key-value stores
Score1.08
Rank#187  Overall
#85  Relational DBMS
Score44.28
Rank#24  Overall
#3  Search engines
Websitewww.symas.com/­symas-embedded-database-lmdbwww.alachisoft.com/­ncachewww.oracle.com/­database/­technologies/­related/­rdb.htmlsolr.apache.org
Technical documentationwww.lmdb.tech/­docwww.alachisoft.com/­resources/­docswww.oracle.com/­database/­technologies/­related/­rdb-doc.htmlsolr.apache.org/­resources.html
DeveloperSymasAlachisoftOracle, originally developed by Digital Equipment Corporation (DEC)Apache Software Foundation
Initial release2011200519842006
Current release0.9.32, January 20245.3.3, April 20247.4.1.1, 20219.5.0, February 2024
License infoCommercial or Open SourceOpen SourceOpen Source infoEnterprise Edition availablecommercialOpen Source infoApache Version 2
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.
Implementation languageCC#, .NET, .NET Core, JavaJava
Server operating systemsLinux
Unix
Windows
Linux
Windows
HP Open VMSAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeschema-freeschema-freeFlexible Schema (defined schema, partial schema, schema free)yes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or datepartial infoSupported data types are Lists, Queues, Hashsets, Dictionary and Counteryesyes infosupports customizable data types and automatic typing
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.nononoyes
Secondary indexesnoyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnoSQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.yesSolr Parallel SQL Interface
APIs and other access methodsIDistributedCache
JCache
LINQ
Proprietary native API
Java API
RESTful HTTP/JSON API
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
.Net Core
C#
Java
JavaScript (Node.js)
Python
Scala
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnono infosupport for stored procedures with SQL-Server CLRJava plugins
Triggersnoyes infoNotificationsyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesnoneyesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes, with selectable consistency levelyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Strong Eventual Consistency over WAN with Conflict Resolution using Bridge Topology
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDoptimistic locking and pessimistic lockingyes, on a single nodeoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlnoAuthentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)yes
More information provided by the system vendor
LMDBNCacheOracle RdbSolr
Specific characteristicsNCache has been the market leader in .NET Distributed Caching since 2005 . NCache...
» more
Competitive advantagesNCache is 100% .NET/ .NET Core based which fully supports ASP.NET Core Sessions ,...
» more
Typical application scenariosNCache enables industries like retail, finance, banking IoT, travel, ecommerce, healthcare...
» more
Key customersBank of America, Citi, Natures Way, Charter Spectrum, Barclays, Henry Schein, GBM,...
» more
Market metricsMarket Leader in .NET Distributed Caching since 2005.
» more
Licensing and pricing modelsNCache Open Source is free on an as-is basis without any support. NCache Enterprise...
» more

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LMDBNCacheOracle RdbSolr
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