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

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

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonHarperDB  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonRRDtool  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 networksUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.Elastic, 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.
Primary database modelDocument store
Key-value store
Document storeRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.55
Rank#248  Overall
#38  Document stores
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score1.87
Rank#136  Overall
#11  Time Series DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.harperdb.ioazure.microsoft.com/­services/­synapse-analyticsoss.oetiker.ch/­rrdtool
Technical documentationdocs.harperdb.io/­docsdocs.microsoft.com/­azure/­synapse-analyticsoss.oetiker.ch/­rrdtool/­doc
DeveloperAtos Convergence CreatorsHarperDBMicrosoftTobias Oetiker
Initial release2016201720161999
Current release17033.1, August 20211.8.0, 2022
License infoCommercial or Open Sourcecommercialcommercial infofree community edition availablecommercialOpen Source infoGPL V2 and FLOSS
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaNode.jsC++C infoImplementations in Java (e.g. RRD4J) and C# available
Server operating systemsLinuxLinux
OS X
hostedHP-UX
Linux
Data schemeSchema and schema-less with LDAP viewsdynamic schemayesyes
Typing infopredefined data types such as float or dateoptionalyes infoJSON data typesyesNumeric data only
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.yesnonono infoExporting into and restoring from XML files possible
Secondary indexesyesyesyesno
SQL infoSupport of SQLnoSQL-like data manipulation statementsyesno
APIs and other access methodsLDAPJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
ADO.NET
JDBC
ODBC
in-process shared library
Pipes
Supported programming languagesAll languages with LDAP bindings.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
C#
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
Server-side scripts infoStored proceduresnoCustom Functions infosince release 3.1Transact SQLno
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionA table resides as a whole on one (or more) nodes in a clusterSharding, horizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infothe nodes on which a table resides can be definedyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integritynonono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsAtomic execution of specific operationsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoby using the rrdcached daemon
Durability infoSupport for making data persistentyesyes, using LMDByesyes
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 authenticationAccess rights for users and rolesyesno

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More resources
Atos Standard Common RepositoryHarperDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseRRDtool
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