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DBMS > Amazon CloudSearch vs. Amazon DocumentDB vs. Blazegraph

System Properties Comparison Amazon CloudSearch vs. Amazon DocumentDB vs. Blazegraph

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonAmazon DocumentDB  Xexclude from comparisonBlazegraph  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudFast, scalable, highly available, and fully managed MongoDB-compatible database serviceHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.
Primary database modelSearch engineDocument storeGraph DBMS
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.87
Rank#140  Overall
#12  Search engines
Score1.89
Rank#137  Overall
#24  Document stores
Score0.77
Rank#222  Overall
#20  Graph DBMS
#8  RDF stores
Websiteaws.amazon.com/­cloudsearchaws.amazon.com/­documentdbblazegraph.com
Technical documentationdocs.aws.amazon.com/­cloudsearchaws.amazon.com/­documentdb/­resourceswiki.blazegraph.com
DeveloperAmazonBlazegraph
Initial release201220192006
Current release2.1.5, March 2019
License infoCommercial or Open SourcecommercialcommercialOpen Source infoextended commercial license available
Cloud-based only infoOnly available as a cloud serviceyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava
Server operating systemshostedhostedLinux
OS X
Windows
Data schemeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes infoRDF literal types
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.no
Secondary indexesyes infoall search fields are automatically indexedyesyes
SQL infoSupport of SQLnonoSPARQL is used as query language
APIs and other access methodsHTTP APIproprietary protocol using JSON (MongoDB compatible)Java API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonoyes
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requirednoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynono infotypically not used, however similar functionality with DBRef possibleyes infoRelationships in Graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic single-document operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
User concepts infoAccess controlauthentication via encrypted signaturesAccess rights for users and rolesSecurity and Authentication via Web Application Container (Tomcat, Jetty)

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More resources
Amazon CloudSearchAmazon DocumentDBBlazegraph
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Recent citations in the news

Amazon CloudSearch – Start Searching in One Hour for Less Than $100 / Month | Amazon Web Services
12 April 2012, AWS Blog

Amazon's CloudSearch Stiffens Competition for Search as a Service Providers
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Amazon Takes On Google And Microsoft With CloudSearch
16 April 2012, Forbes

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19 November 2014, AWS Blog

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