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DBMS > Amazon CloudSearch vs. Blazegraph vs. Coveo

System Properties Comparison Amazon CloudSearch vs. Blazegraph vs. Coveo

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonBlazegraph  Xexclude from comparisonCoveo  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.AI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code development
Primary database modelSearch engineGraph DBMS
RDF store
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#137  Overall
#12  Search engines
Score0.75
Rank#219  Overall
#19  Graph DBMS
#8  RDF stores
Score2.28
Rank#114  Overall
#11  Search engines
Websiteaws.amazon.com/­cloudsearchblazegraph.comwww.coveo.com
Technical documentationdocs.aws.amazon.com/­cloudsearchwiki.blazegraph.comdocs.coveo.com
DeveloperAmazonBlazegraphCoveo
Initial release201220062012
Current release2.1.5, March 2019
License infoCommercial or Open SourcecommercialOpen Source infoextended commercial license availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava
Server operating systemshostedLinux
OS X
Windows
hosted
Data schemeyesschema-freehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configuration
Typing infopredefined data types such as float or dateyesyes infoRDF literal typesyes
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 SQLnoSPARQL is used as query languageno
APIs and other access methodsHTTP APIJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
RESTful HTTP API
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresnoyesno
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in Graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyes
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)granular access controls, API key management, content filters

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More resources
Amazon CloudSearchBlazegraphCoveo
DB-Engines blog posts

Amazon - the rising star in the DBMS market
3 August 2015, Matthias Gelbmann

The DB-Engines ranking includes now search engines
4 February 2013, Paul Andlinger

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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

Is Amazon CloudSearch superior to do-it-yourself search tools?
24 January 2014, TechTarget

Amazon CloudSearch – Even Better Searching for Less Than $100/Month | Amazon Web Services
24 March 2014, AWS Blog

Amazon Takes On Google And Microsoft With CloudSearch
16 April 2012, Forbes

Searching CloudTrail Logs Easily with Amazon CloudSearch | AWS Startups Blog
21 October 2014, AWS Blog

provided by Google News

Back to the future: Does graph database success hang on query language?
5 March 2018, ZDNet

Harnessing GPUs Delivers a Big Speedup for Graph Analytics
15 December 2015, Datanami

This AI Paper Introduces A Comprehensive RDF Dataset With Over 26 Billion Triples Covering Scholarly Data Across All Scientific Disciplines
19 August 2023, MarkTechPost

Representation Learning on RDF* and LPG Knowledge Graphs
24 September 2020, Towards Data Science

Faster with GPUs: 5 turbocharged databases
26 September 2016, InfoWorld

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AI for CX: Coveo's award-winning solution
17 April 2024, CMSWire

Coveo announced its joining in the MACH Alliance
26 April 2024, Martechcube

Coveo to Showcase the Significant Impact of AI and GenAI to Improve Digital Experiences at 10th Edition of Relevance ...
21 March 2024, GlobeNewswire

Coveo joins MACH Alliance to advocate open tech ecosystem
29 April 2024, IT Brief Australia

How Coveo delivers better experiences with generative AI by partnering with CIOs
20 October 2023, Fast Company

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