DBMS > Amazon DocumentDB vs. Atos Standard Common Repository vs. DolphinDB vs. SiteWhere

System Properties Comparison Amazon DocumentDB vs. Atos Standard Common Repository vs. DolphinDB vs. SiteWhere

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
Name	Amazon DocumentDB  Xexclude from comparison	Atos Standard Common Repository  Xexclude from comparison	DolphinDB  Xexclude from comparison	SiteWhere  Xexclude from comparison
		This system has been discontinued and will be removed from the DB-Engines ranking.
Description	Fast, scalable, highly available, and fully managed MongoDB-compatible database service	Highly scalable database system, designed for managing session and subscriber data in modern mobile communication networks	DolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.	M2M integration platform for persisting/querying time series data
Primary database model	Document store	Document store Key-value store	Time Series DBMS	Time Series DBMS
Secondary database models			Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 1.91 Rank #131   Overall #24   Document stores		Score 4.03 Rank #78   Overall #6   Time Series DBMS	Score 0.06 Rank #383   Overall #43   Time Series DBMS
Website	aws.amazon.com/­documentdb	atos.net/en/convergence-creators/portfolio/standard-common-repository	www.dolphindb.com	github.com/­sitewhere/­sitewhere
Technical documentation	aws.amazon.com/­documentdb/­resources		docs.dolphindb.cn/­en/­help200/­index.html	sitewhere1.sitewhere.io/­index.html
Developer		Atos Convergence Creators	DolphinDB, Inc	SiteWhere
Initial release	2019	2016	2018	2010
Current release		1703	v2.00.4, January 2022
License Commercial or Open Source	commercial	commercial	commercial free community version available	Open Source Common Public Attribution License Version 1.0
Cloud-based only Only available as a cloud service	yes	no	no	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language		Java	C++	Java
Server operating systems	hosted	Linux	Linux Windows	Linux OS X Windows
Data scheme	schema-free	Schema and schema-less with LDAP views	yes	predefined scheme
Typing predefined data types such as float or date	yes	optional	yes	yes
XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.	no	yes	no	no
Secondary indexes	yes	yes	yes	no
SQL Support of SQL	no	no	SQL-like query language	no
APIs and other access methods	proprietary protocol using JSON (MongoDB compatible)	LDAP	JDBC JSON over HTTP Kafka MQTT (Message Queue Telemetry Transport) ODBC OPC DA OPC UA RabbitMQ WebSocket	HTTP REST
Supported programming languages	Go Java JavaScript (Node.js) PHP Python	All languages with LDAP bindings	C# C++ Go Java JavaScript MatLab Python R Rust
Server-side scripts Stored procedures	no	no	yes
Triggers	no	yes	no
Partitioning methods Methods for storing different data on different nodes	none	Sharding cell division	horizontal partitioning	Sharding based on HBase
Replication methods Methods for redundantly storing data on multiple nodes	Multi-availability zones for high availability, asynchronous replication for up to 15 read replicas	yes	yes	selectable replication factor based on HBase
MapReduce Offers an API for user-defined Map/Reduce methods	no may be implemented via Amazon Elastic MapReduce (Amazon EMR)		yes	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency	Immediate Consistency or Eventual Consistency depending on configuration	Immediate Consistency	Immediate Consistency
Foreign keys Referential integrity	no typically not used, however similar functionality with DBRef possible	no	no	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic single-document operations	Atomic execution of specific operations	yes	no
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.		yes	yes	no
User concepts Access control	Access rights for users and roles	LDAP bind authentication	Administrators, Users, Groups	Users with fine-grained authorization concept
More information provided by the system vendor We invite representatives of system vendors to contact us for updating and extending the system information, and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.
Related products and services We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
More resources
	Amazon DocumentDB	Atos Standard Common Repository	DolphinDB	SiteWhere
Recent citations in the news	A hybrid approach for homogeneous migration to an Amazon DocumentDB elastic cluster | Amazon Web Services 4 June 2024, AWS Blog Vector search for Amazon DocumentDB (with MongoDB compatibility) is now generally available | Amazon Web Services 29 November 2023, AWS Blog Use LangChain and vector search on Amazon DocumentDB to build a generative AI chatbot | Amazon Web Services 20 May 2024, AWS Blog Use headless clusters in Amazon DocumentDB for cost-effective multi-Region resiliency | Amazon Web Services 8 March 2024, AWS Blog Reduce cost and improve performance by migrating to Amazon DocumentDB 5.0 | Amazon Web Services 15 April 2024, AWS Blog provided by Google News			SiteWhere: An open platform for connected devices 11 July 2017, Open Source For You 11 Best Open source IoT Platforms To Develop Smart Projects 9 March 2023, H2S Media provided by Google News

Share this page