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

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

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonGeoSpock  Xexclude from comparisonHive  Xexclude from comparisonPinecone  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudSpatial and temporal data processing engine for extreme data scaledata warehouse software for querying and managing large distributed datasets, built on HadoopA managed, cloud-native vector database
Primary database modelSearch engineRelational DBMSRelational DBMSVector DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.81
Rank#137  Overall
#12  Search engines
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score3.23
Rank#92  Overall
#3  Vector DBMS
Websiteaws.amazon.com/­cloudsearchgeospock.comhive.apache.orgwww.pinecone.io
Technical documentationdocs.aws.amazon.com/­cloudsearchcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.pinecone.io/­docs/­overview
DeveloperAmazonGeoSpockApache Software Foundation infoinitially developed by FacebookPinecone Systems, Inc
Initial release201220122019
Current release2.0, September 20193.1.3, April 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud serviceyesyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, JavascriptJava
Server operating systemshostedhostedAll OS with a Java VMhosted
Data schemeyesyesyes
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 indexedtemporal, categoricalyes
SQL infoSupport of SQLnoANSI SQL for query only (using Presto)SQL-like DML and DDL statementsno
APIs and other access methodsHTTP APIJDBCJDBC
ODBC
Thrift
RESTful HTTP API
Supported programming languagesC++
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 requiredAutomatic shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSselectable 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 datanonono
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.nono
User concepts infoAccess controlauthentication via encrypted signaturesAccess rights for users can be defined per tableAccess rights for users, groups and roles

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More resources
Amazon CloudSearchGeoSpockHivePinecone
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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

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

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2 June 2020, TechTarget

CloudSearch Update – Price Reduction, Hebrew & Japanese Support, Partitioning, CloudTrail | Amazon Web Services
19 November 2014, AWS Blog

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24 March 2014, AWS Blog

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