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DBMS > Atos Standard Common Repository vs. Microsoft Azure Synapse Analytics vs. RRDtool vs. Solr

System Properties Comparison Atos Standard Common Repository vs. Microsoft Azure Synapse Analytics vs. RRDtool vs. Solr

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonRRDtool  Xexclude from comparisonSolr  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerIndustry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database. infoThe data is stored in a circular buffer, thus the system storage footprint remains constant over time.A widely used distributed, scalable search engine based on Apache Lucene
Primary database modelDocument store
Key-value store
Relational DBMSTime Series DBMSSearch engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score1.87
Rank#136  Overall
#11  Time Series DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositoryazure.microsoft.com/­services/­synapse-analyticsoss.oetiker.ch/­rrdtoolsolr.apache.org
Technical documentationdocs.microsoft.com/­azure/­synapse-analyticsoss.oetiker.ch/­rrdtool/­docsolr.apache.org/­resources.html
DeveloperAtos Convergence CreatorsMicrosoftTobias OetikerApache Software Foundation
Initial release2016201619992006
Current release17031.8.0, 20229.6.0, April 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL V2 and FLOSSOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C infoImplementations in Java (e.g. RRD4J) and C# availableJava
Server operating systemsLinuxhostedHP-UX
Linux
All 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 viewsyesyesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateoptionalyesNumeric data onlyyes 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.yesnono infoExporting into and restoring from XML files possibleyes
Secondary indexesyesyesnoyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnoyesnoSolr Parallel SQL Interface
APIs and other access methodsLDAPADO.NET
JDBC
ODBC
in-process shared library
Pipes
Java API
RESTful HTTP/JSON API
Supported programming languagesAll languages with LDAP bindingsC#
Java
PHP
C infowith librrd library
C# infowith a different implementation of RRDTool
Java infowith a different implementation of RRDTool
JavaScript (Node.js) infowith a different implementation of RRDTool
Lua
Perl
PHP infowith a wrapper library
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 proceduresnoTransact SQLnoJava plugins
Triggersyesnonoyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionSharding, horizontal partitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonospark-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 ConsistencynoneEventual Consistency
Foreign keys infoReferential integritynono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDnooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoby using the rrdcached daemonyes
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.yesyesyes
User concepts infoAccess controlLDAP bind authenticationyesnoyes

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More resources
Atos Standard Common RepositoryMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseRRDtoolSolr
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