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DBMS > Amazon CloudSearch vs. Blazegraph vs. Hive

System Properties Comparison Amazon CloudSearch vs. Blazegraph vs. Hive

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonBlazegraph  Xexclude from comparisonHive  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 cloudHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.data warehouse software for querying and managing large distributed datasets, built on Hadoop
Primary database modelSearch engineGraph DBMS
RDF store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.33
Rank#132  Overall
#12  Search engines
Score0.75
Rank#235  Overall
#20  Graph DBMS
#8  RDF stores
Score65.81
Rank#18  Overall
#12  Relational DBMS
Websiteaws.amazon.com/­cloudsearchblazegraph.comhive.apache.org
Technical documentationdocs.aws.amazon.com/­cloudsearchwiki.blazegraph.comcwiki.apache.org/­confluence/­display/­Hive/­Home
DeveloperAmazonBlazegraphApache Software Foundation infoinitially developed by Facebook
Initial release201220062012
Current release2.1.5, March 20193.1.3, April 2022
License infoCommercial or Open SourcecommercialOpen Source infoextended commercial license availableOpen Source infoApache Version 2
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
All OS with a Java VM
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyes infoRDF literal typesyes
Secondary indexesyes infoall search fields are automatically indexedyesyes
SQL infoSupport of SQLnoSPARQL is used as query languageSQL-like DML and DDL statements
APIs and other access methodsHTTP APIJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
JDBC
ODBC
Thrift
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
C++
Java
PHP
Python
Server-side scripts infoStored proceduresnoyesyes infouser defined functions and integration of map-reduce
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSyesselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoquery execution via MapReduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Foreign keys infoReferential integritynoyes infoRelationships in Graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
User concepts infoAccess controlauthentication via encrypted signaturesSecurity and Authentication via Web Application Container (Tomcat, Jetty)Access rights for users, groups and roles

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More resources
Amazon CloudSearchBlazegraphHive
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