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DBMS > Amazon CloudSearch vs. Dgraph vs. Hive vs. Pinecone

System Properties Comparison Amazon CloudSearch vs. Dgraph vs. Hive vs. Pinecone

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonDgraph  Xexclude from comparisonHive  Xexclude from comparisonPinecone  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudDistributed and scalable native Graph DBMSdata warehouse software for querying and managing large distributed datasets, built on HadoopA managed, cloud-native vector database
Primary database modelSearch engineGraph DBMSRelational DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.81
Rank#137  Overall
#12  Search engines
Score1.53
Rank#152  Overall
#15  Graph DBMS
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score3.23
Rank#92  Overall
#2  Vector DBMS
Websiteaws.amazon.com/­cloudsearchdgraph.iohive.apache.orgwww.pinecone.io
Technical documentationdocs.aws.amazon.com/­cloudsearchdgraph.io/­docscwiki.apache.org/­confluence/­display/­Hive/­Homedocs.pinecone.io/­docs/­overview
DeveloperAmazonDgraph Labs, Inc.Apache Software Foundation infoinitially developed by FacebookPinecone Systems, Inc
Initial release2012201620122019
Current release3.1.3, April 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJava
Server operating systemshostedLinux
OS X
Windows
All OS with a Java VMhosted
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesString, Number, Boolean
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.nono
Secondary indexesyes infoall search fields are automatically indexedyesyes
SQL infoSupport of SQLnonoSQL-like DML and DDL statementsno
APIs and other access methodsHTTP APIGraphQL query language
gRPC (using protocol buffers) API
HTTP API
JDBC
ODBC
Thrift
RESTful HTTP API
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Java
PHP
Python
Python
Server-side scripts infoStored proceduresnonoyes 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 requiredyesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSSynchronous replication via Raftselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlauthentication via encrypted signaturesno infoPlanned for future releasesAccess rights for users, groups and roles

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

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