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DBMS > Amazon Redshift vs. Atos Standard Common Repository vs. GeoSpock vs. Microsoft Access vs. Solr

System Properties Comparison Amazon Redshift vs. Atos Standard Common Repository vs. GeoSpock vs. Microsoft Access vs. Solr

Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonGeoSpock  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonSolr  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionLarge scale data warehouse service for use with business intelligence toolsHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksSpatial and temporal data processing engine for extreme data scaleMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)A widely used distributed, scalable search engine based on Apache Lucene
Primary database modelRelational DBMSDocument store
Key-value store
Relational DBMSRelational DBMSSearch engine
Secondary database modelsTime Series DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score20.63
Rank#33  Overall
#20  Relational DBMS
Score107.93
Rank#11  Overall
#8  Relational DBMS
Score43.91
Rank#24  Overall
#3  Search engines
Websiteaws.amazon.com/­redshiftatos.net/en/convergence-creators/portfolio/standard-common-repositorygeospock.comwww.microsoft.com/­en-us/­microsoft-365/­accesssolr.apache.org
Technical documentationdocs.aws.amazon.com/­redshiftdeveloper.microsoft.com/­en-us/­accesssolr.apache.org/­resources.html
DeveloperAmazon (based on PostgreSQL)Atos Convergence CreatorsGeoSpockMicrosoftApache Software Foundation
Initial release2012201619922006
Current release17032.0, September 20191902 (16.0.11328.20222), March 20199.5.0, February 2024
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial infoBundled with Microsoft OfficeOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaJava, JavascriptC++Java
Server operating systemshostedLinuxhostedWindows infoNot a real database server, but making use of DLLsAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesSchema and schema-less with LDAP viewsyesyesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesoptionalyesyesyes 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.noyesnoyes
Secondary indexesrestrictedyestemporal, categoricalyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardnoANSI SQL for query only (using Presto)yes infobut not compliant to any SQL standardSolr Parallel SQL Interface
APIs and other access methodsJDBC
ODBC
LDAPJDBCADO.NET
DAO
ODBC
OLE DB
Java API
RESTful HTTP/JSON API
Supported programming languagesAll languages supporting JDBC/ODBCAll languages with LDAP bindingsC
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresuser defined functions infoin Pythonnonoyes infosince Access 2010 using the ACE-engineJava plugins
Triggersnoyesnoyes infosince Access 2010 using the ACE-engineyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infocell divisionAutomatic shardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesnoneyes
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 Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsnoACID infobut no files for transaction loggingoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infobut no files for transaction loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardLDAP bind authenticationAccess rights for users can be defined per tableno infoa simple user-level security was built in till version Access 2003yes

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More resources
Amazon RedshiftAtos Standard Common RepositoryGeoSpockMicrosoft AccessSolr
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