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DBMS > Atos Standard Common Repository vs. Hypertable vs. MaxDB vs. Microsoft Azure AI Search vs. Solr

System Properties Comparison Atos Standard Common Repository vs. Hypertable vs. MaxDB vs. Microsoft Azure AI Search vs. Solr

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonHypertable  Xexclude from comparisonMaxDB infoformerly named Adabas-D  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonSolr  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksAn open source BigTable implementation based on distributed file systems such as HadoopA robust and reliable RDBMS optimized to run all major SAP solutionsSearch-as-a-service for web and mobile app developmentA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelDocument store
Key-value store
Wide column storeRelational DBMSSearch engineSearch engine
Secondary database modelsVector DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.32
Rank#112  Overall
#55  Relational DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Score42.91
Rank#24  Overall
#3  Search engines
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorymaxdb.sap.comazure.microsoft.com/­en-us/­services/­searchsolr.apache.org
Technical documentationmaxdb.sap.com/­documentationlearn.microsoft.com/­en-us/­azure/­searchsolr.apache.org/­resources.html
DeveloperAtos Convergence CreatorsHypertable Inc.SAP, acquired from Software AG (Adabas-D) in 1997MicrosoftApache Software Foundation
Initial release20162009198420152006
Current release17030.9.8.11, March 20167.9.10.12, February 2024V19.6.0, April 2024
License infoCommercial or Open SourcecommercialOpen Source infoGNU version 3. Commercial license availablecommercial infoLimited community edition freecommercialOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C++Java
Server operating systemsLinuxLinux
OS X
Windows infoan inofficial Windows port is available
AIX
HP-UX
Linux
Solaris
Windows
hostedAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeSchema and schema-less with LDAP viewsschema-freeyesyesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateoptionalnoyesyesyes 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.yesnonoyes
Secondary indexesyesrestricted infoonly exact value or prefix value scansyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnonoyesnoSolr Parallel SQL Interface
APIs and other access methodsLDAPC++ API
Thrift
ADO.NET
JDBC
ODBC
WebDAV
RESTful HTTP APIJava API
RESTful HTTP/JSON API
Supported programming languagesAll languages with LDAP bindingsC++
Java
Perl
PHP
Python
Ruby
.Net
C#
Java
Perl
PHP
Python
C#
Java
JavaScript
Python
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnonoyesnoJava plugins
Triggersyesnoyesnoyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingnoneSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor on file system levelSource-replica replicationyes infoImplicit feature of the cloud serviceyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnoACIDnooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlLDAP bind authenticationnofine grained access rights according to SQL-standardyes infousing Azure authenticationyes

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More resources
Atos Standard Common RepositoryHypertableMaxDB infoformerly named Adabas-DMicrosoft Azure AI SearchSolr
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