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DBMS > FeatureBase vs. MarkLogic vs. Memcached vs. Solr

System Properties Comparison FeatureBase vs. MarkLogic vs. Memcached vs. Solr

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Editorial information provided by DB-Engines
NameFeatureBase  Xexclude from comparisonMarkLogic  Xexclude from comparisonMemcached  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Operational and transactional Enterprise NoSQL databaseIn-memory key-value store, originally intended for cachingA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelRelational DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Key-value storeSearch engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#309  Overall
#139  Relational DBMS
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score19.42
Rank#32  Overall
#4  Key-value stores
Score42.91
Rank#24  Overall
#3  Search engines
Websitewww.featurebase.comwww.marklogic.comwww.memcached.orgsolr.apache.org
Technical documentationdocs.featurebase.comdocs.marklogic.comgithub.com/­memcached/­memcached/­wikisolr.apache.org/­resources.html
DeveloperMolecula and Pilosa Open Source ContributorsMarkLogic Corp.Danga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalApache Software Foundation
Initial release2017200120032006
Current release2022, May 202211.0, December 20221.6.25, March 20249.6.0, April 2024
License infoCommercial or Open Sourcecommercialcommercial inforestricted free version is availableOpen Source infoBSD licenseOpen 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 languageGoC++CJava
Server operating systemsLinux
macOS
Linux
OS X
Windows
FreeBSD
Linux
OS X
Unix
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesschema-free infoSchema can be enforcedschema-freeyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesnoyes 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.noyesyes
Secondary indexesnoyesnoyes infoAll search fields are automatically indexed
SQL infoSupport of SQLSQL queriesyes infoSQL92noSolr Parallel SQL Interface
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
Proprietary protocolJava API
RESTful HTTP/JSON API
Supported programming languagesJava
Python
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyes infovia XQuery or JavaScriptnoJava plugins
Triggersnoyesnoyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesnone infoRepcached, a Memcached patch, provides this functionallityyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACID infocan act as a resource manager in an XA/JTA transactionnooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes, using Linux fsyncyesnoyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes, with Range Indexesyes
User concepts infoAccess controlRole-based access control at the document and subdocument levelsyes infousing SASL (Simple Authentication and Security Layer) protocolyes

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More resources
FeatureBaseMarkLogicMemcachedSolr
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