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DBMS > Amazon DocumentDB vs. Atos Standard Common Repository vs. eXtremeDB vs. RRDtool

System Properties Comparison Amazon DocumentDB vs. Atos Standard Common Repository vs. eXtremeDB vs. RRDtool

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisoneXtremeDB  Xexclude from comparisonRRDtool  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksNatively in-memory DBMS with options for persistency, high-availability and clusteringIndustry 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 storeDocument store
Key-value store
Relational DBMS
Time Series DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score0.74
Rank#223  Overall
#103  Relational DBMS
#18  Time Series DBMS
Score1.87
Rank#136  Overall
#11  Time Series DBMS
Websiteaws.amazon.com/­documentdbatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.mcobject.comoss.oetiker.ch/­rrdtool
Technical documentationaws.amazon.com/­documentdb/­resourceswww.mcobject.com/­docs/­extremedb.htmoss.oetiker.ch/­rrdtool/­doc
DeveloperAtos Convergence CreatorsMcObjectTobias Oetiker
Initial release2019201620011999
Current release17038.2, 20211.8.0, 2022
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoGPL V2 and FLOSS
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC and C++C infoImplementations in Java (e.g. RRD4J) and C# available
Server operating systemshostedLinuxAIX
HP-UX
Linux
macOS
Solaris
Windows
HP-UX
Linux
Data schemeschema-freeSchema and schema-less with LDAP viewsyesyes
Typing infopredefined data types such as float or dateyesoptionalyesNumeric 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.noyesno infosupport of XML interfaces availableno infoExporting into and restoring from XML files possible
Secondary indexesyesyesyesno
SQL infoSupport of SQLnonoyes infowith the option: eXtremeSQLno
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)LDAP.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
in-process shared library
Pipes
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
All languages with LDAP bindings.Net
C
C#
C++
Java
Lua
Python
Scala
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 proceduresnonoyesno
Triggersnoyesyes infoby defining eventsno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infocell divisionhorizontal partitioning / shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyesActive Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistencynone
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsAtomic execution of specific operationsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyes infoby using the rrdcached daemon
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 controlAccess rights for users and rolesLDAP bind authenticationno
More information provided by the system vendor
Amazon DocumentDBAtos Standard Common RepositoryeXtremeDBRRDtool
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
» more
Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
» more
Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
» more

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More resources
Amazon DocumentDBAtos Standard Common RepositoryeXtremeDBRRDtool
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