DBMS > Amazon CloudSearch vs. CouchDB vs. IRONdb
System Properties Comparison Amazon CloudSearch vs. CouchDB vs. IRONdb
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|Editorial information provided by DB-Engines|
|Name||Amazon CloudSearch Xexclude from comparison||CouchDB stands for "Cluster Of Unreliable Commodity Hardware" Xexclude from comparison||IRONdb Xexclude from comparison|
|Description||A hosted search engine service by Amazon with the data stored in Amazons cloud||A native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.||A distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicity|
|Primary database model||Search engine||Document store||Time Series DBMS|
|Secondary database models||Spatial DBMS using the Geocouch extension|
|Developer||Amazon||Apache Software Foundation Apache top-level project, originally developed by Damien Katz, a former Lotus Notes developer||Circonus LLC.|
|Current release||3.3.0, January 2023||V0.10.20, January 2018|
|License Commercial or Open Source||commercial||Open Source Apache version 2||commercial|
|Cloud-based only Only available as a cloud service||yes||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Implementation language||Erlang||C and C++|
|Server operating systems||hosted||Android|
|Typing predefined data types such as float or date||yes||no||yes text, numeric, histograms|
|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||no|
|Secondary indexes||yes all search fields are automatically indexed||yes via views||no|
|SQL Support of SQL||no||no||SQL-like query language (Circonus Analytics Query Language: CAQL)|
|APIs and other access methods||HTTP API||RESTful HTTP/JSON API||HTTP API|
|Supported programming languages||C|
|Partitioning methods Methods for storing different data on different nodes||yes automatic partitioning across Amazon Search Instance as required||Sharding improved architecture with release 2.0||Automatic, metric affinity per node|
|Replication methods Methods for redundantly storing data on multiple nodes||yes managed transparently by AWS||Multi-source replication|
|configurable replication factor, datacenter aware|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||yes||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Eventual Consistency||Immediate consistency per node, eventual consistency across nodes|
|Foreign keys Referential integrity||no||no||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||no||no atomic operations within a single document possible||no|
|Concurrency Support for concurrent manipulation of data||yes||yes strategy: optimistic locking||yes|
|Durability Support for making data persistent||yes||yes||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||no||no|
|User concepts Access control||authentication via encrypted signatures||Access rights for users can be defined per database||no|
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|Amazon CloudSearch||CouchDB stands for "Cluster Of Unreliable Commodity Hardware"||IRONdb|
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