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DBMS > Memcached vs. Microsoft SQL Server vs. SAP HANA vs. Solr

System Properties Comparison Memcached vs. Microsoft SQL Server vs. SAP HANA vs. Solr

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Editorial information provided by DB-Engines
NameMemcached  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonSAP HANA  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionIn-memory key-value store, originally intended for cachingMicrosofts flagship relational DBMSIn-memory, column based data store. Available as appliance or cloud serviceA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelKey-value storeRelational DBMSRelational DBMSSearch engine
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Document store
Graph DBMS infowith SAP Hana, Enterprise Edition
Spatial DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score26.02
Rank#31  Overall
#4  Key-value stores
Score970.61
Rank#3  Overall
#3  Relational DBMS
Score55.28
Rank#20  Overall
#13  Relational DBMS
Score51.17
Rank#22  Overall
#3  Search engines
Websitewww.memcached.orgwww.microsoft.com/­en-us/­sql-serverwww.sap.com/­products/­hana.htmllucene.apache.org/­solr
Technical documentationgithub.com/­memcached/­memcached/­wikidocs.microsoft.com/­en-US/­sql/­sql-serverhelp.sap.com/­hanalucene.apache.org/­solr/­resources.html
DeveloperDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalMicrosoftSAPApache Software Foundation
Initial release2003198920102006
Current release1.6.9, November 2020SQL Server 2019, November 20192.0 SPS05 (June 26, 2020), June 20208.10.1, October 2021
License infoCommercial or Open SourceOpen Source infoBSD licensecommercial inforestricted free version is availablecommercialOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenonono infoalso available as a cloud based serviceno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++Java
Server operating systemsFreeBSD
Linux
OS X
Unix
Windows
Linux
Windows
Appliance or cloud-serviceAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeschema-freeyesyesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or datenoyesyesyes 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.yesnoyes
Secondary indexesnoyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnoyesyesSolr Parallel SQL Interface
APIs and other access methodsProprietary protocolADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
JDBC
ODBC
Java API
RESTful HTTP/JSON API
Supported programming languages.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) JavaSQLScript, RJava plugins
Triggersnoyesyesyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesnonetables can be distributed across several files (horizontal partitioning); sharding through federationyesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoRepcached, a Memcached patch, provides this functionallityyes, but depending on the SQL-Server Editionyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentnoyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlyes infousing SASL (Simple Authentication and Security Layer) protocolfine grained access rights according to SQL-standardyesyes

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More resources
MemcachedMicrosoft SQL ServerSAP HANASolr
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