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DBMS > Amazon DocumentDB vs. Atos Standard Common Repository vs. JaguarDB vs. RRDtool vs. SwayDB

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

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonJaguarDB  Xexclude from comparisonRRDtool  Xexclude from comparisonSwayDB  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 networksPerformant, highly scalable DBMS for AI and IoT applicationsIndustry 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.An embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelDocument storeDocument store
Key-value store
Key-value store
Vector DBMS
Time Series DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score0.00
Rank#383  Overall
#60  Key-value stores
#13  Vector DBMS
Score1.87
Rank#136  Overall
#11  Time Series DBMS
Score0.00
Rank#382  Overall
#59  Key-value stores
Websiteaws.amazon.com/­documentdbatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.jaguardb.comoss.oetiker.ch/­rrdtoolswaydb.simer.au
Technical documentationaws.amazon.com/­documentdb/­resourceswww.jaguardb.com/­support.htmloss.oetiker.ch/­rrdtool/­doc
DeveloperAtos Convergence CreatorsDataJaguar, Inc.Tobias OetikerSimer Plaha
Initial release20192016201519992018
Current release17033.3 July 20231.8.0, 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL V3.0Open Source infoGPL V2 and FLOSSOpen Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++ infothe server part. Clients available in other languagesC infoImplementations in Java (e.g. RRD4J) and C# availableScala
Server operating systemshostedLinuxLinuxHP-UX
Linux
Data schemeschema-freeSchema and schema-less with LDAP viewsyesyesschema-free
Typing infopredefined data types such as float or dateyesoptionalyesNumeric data onlyno
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.noyesnono infoExporting into and restoring from XML files possibleno
Secondary indexesyesyesyesnono
SQL infoSupport of SQLnonoA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersnono
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)LDAPJDBC
ODBC
in-process shared library
Pipes
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
All languages with LDAP bindingsC
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
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
Java
Kotlin
Scala
Server-side scripts infoStored proceduresnonononono
Triggersnoyesnonono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infocell divisionShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyesMulti-source replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencynoneImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsAtomic execution of specific operationsnonoAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoby using the rrdcached daemonyes
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.yesnoyesyes
User concepts infoAccess controlAccess rights for users and rolesLDAP bind authenticationrights management via user accountsnono

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More resources
Amazon DocumentDBAtos Standard Common RepositoryJaguarDBRRDtoolSwayDB
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