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DBMS > Amazon DocumentDB vs. Newts vs. SiteWhere

System Properties Comparison Amazon DocumentDB vs. Newts vs. SiteWhere

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonNewts  Xexclude from comparisonSiteWhere  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceTime Series DBMS based on CassandraM2M integration platform for persisting/querying time series data
Primary database modelDocument storeTime Series DBMSTime Series DBMS
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
#41  Time Series DBMS
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Websiteaws.amazon.com/­documentdbopennms.github.io/­newtsgithub.com/­sitewhere/­sitewhere
Technical documentationaws.amazon.com/­documentdb/­resourcesgithub.com/­OpenNMS/­newts/­wikisitewhere1.sitewhere.io/­index.html
DeveloperOpenNMS GroupSiteWhere
Initial release201920142010
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava
Server operating systemshostedLinux
OS X
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-freepredefined scheme
Typing infopredefined data types such as float or dateyesyesyes
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.nonono
Secondary indexesyesnono
SQL infoSupport of SQLnonono
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)HTTP REST
Java API
HTTP REST
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Java
Server-side scripts infoStored proceduresnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infobased on CassandraSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasselectable replication factor infobased on Cassandraselectable replication factor infobased on HBase
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 ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAccess rights for users and rolesnoUsers with fine-grained authorization concept

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More resources
Amazon DocumentDBNewtsSiteWhere
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