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DBMS > Amazon DocumentDB vs. Atos Standard Common Repository vs. Kdb vs. Newts vs. PouchDB

System Properties Comparison Amazon DocumentDB vs. Atos Standard Common Repository vs. Kdb vs. Newts vs. PouchDB

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonKdb  Xexclude from comparisonNewts  Xexclude from comparisonPouchDB  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 networksHigh performance Time Series DBMSTime Series DBMS based on CassandraJavaScript DBMS with an API inspired by CouchDB
Primary database modelDocument storeDocument store
Key-value store
Time Series DBMS
Vector DBMS
Time Series DBMSDocument store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score2.28
Rank#115  Overall
#21  Document stores
Websiteaws.amazon.com/­documentdbatos.net/en/convergence-creators/portfolio/standard-common-repositorykx.comopennms.github.io/­newtspouchdb.com
Technical documentationaws.amazon.com/­documentdb/­resourcescode.kx.comgithub.com/­OpenNMS/­newts/­wikipouchdb.com/­guides
DeveloperAtos Convergence CreatorsKx Systems, a division of First Derivatives plcOpenNMS GroupApache Software Foundation
Initial release201920162000 infokdb was released 2000, kdb+ in 200320142012
Current release17033.6, May 20187.1.1, June 2019
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree 32-bit versionOpen Source infoApache 2.0Open Source
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaqJavaJavaScript
Server operating systemshostedLinuxLinux
OS X
Solaris
Windows
Linux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeschema-freeSchema and schema-less with LDAP viewsyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesoptionalyesyesno
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.noyesyesnono
Secondary indexesyesyesyes infotable attribute 'grouped'noyes infovia views
SQL infoSupport of SQLnonoSQL-like query language (q)nono
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)LDAPHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
HTTP REST
Java API
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
All languages with LDAP bindingsC
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
JavaJavaScript
Server-side scripts infoStored proceduresnonouser defined functionsnoView functions in JavaScript
Triggersnoyesyes infowith viewsnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infocell divisionhorizontal partitioningSharding infobased on CassandraSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyesSource-replica replicationselectable replication factor infobased on CassandraMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)no infosimilar paradigm used for internal processingnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsAtomic execution of specific operationsnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backend
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlAccess rights for users and rolesLDAP bind authenticationrights management via user accountsnono
More information provided by the system vendor
Amazon DocumentDBAtos Standard Common RepositoryKdbNewtsPouchDB
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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More resources
Amazon DocumentDBAtos Standard Common RepositoryKdbNewtsPouchDB
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