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DBMS > Amazon CloudSearch vs. HugeGraph

System Properties Comparison Amazon CloudSearch vs. HugeGraph

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Our visitors often compare Amazon CloudSearch and HugeGraph with Neo4j and GraphDB.

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonHugeGraph  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudA fast-speed and highly-scalable Graph DBMS
Primary database modelSearch engineGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.50
Rank#97  Overall
#10  Search engines
Score0.06
Rank#308  Overall
#30  Graph DBMS
Websiteaws.amazon.com/­cloudsearchgithub.com/­hugegraph
Technical documentationdocs.aws.amazon.com/­cloudsearchhugegraph.github.io/­hugegraph-doc
DeveloperAmazonBaidu
Initial release20122018
Current release0.9
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava
Server operating systemshostedLinux
macOS
Unix
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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 indexedyes infoalso supports composite index and range index
SQL infoSupport of SQLnono
APIs and other access methodsHTTP APIJava API
RESTful HTTP API
TinkerPop Gremlin
Supported programming languagesGroovy
Java
Python
Server-side scripts infoStored proceduresnoasynchronous Gremlin script jobs
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredyes infodepending on used storage backend, e.g. Cassandra and HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSyes infodepending on used storage backend, e.g. Cassandra and HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-spark
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Foreign keys infoReferential integritynoyes infoedges in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlauthentication via encrypted signaturesUsers, roles and permissions

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More resources
Amazon CloudSearchHugeGraph
DB-Engines blog posts

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

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4 February 2013, Paul Andlinger

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Recent citations in the news

Enterprise Semantic Search Software Market is Expected to Generate Huge Acquisition | Major Vendors – SharePoint, IBM, Lucidworks, Microsoft FAST, Oracle, Amazon CloudSearch
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Uk Enterprise Semantic Search Software Market Analysis and Growth 2026 | SharePoint, IBM, Lucidworks, Microsoft FAST, Oracle, Amazon CloudSearch, Apache Lucene, Attivio
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3 September 2019, Technology News

Enterprise Search Software Market Analysis of the Global Application Portfolio by Top Vendors- SharePoint, IBM, Lucidworks, Microsoft FAST, Oracle and Forecast 2019 - 2023
27 August 2019, Tribune City

provided by Google News

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