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DBMS > Amazon CloudSearch vs. LeanXcale vs. Pinecone

System Properties Comparison Amazon CloudSearch vs. LeanXcale vs. Pinecone

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonLeanXcale  Xexclude from comparisonPinecone  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesA managed, cloud-native vector database
Primary database modelSearch engineKey-value store
Relational DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#137  Overall
#12  Search engines
Score0.29
Rank#291  Overall
#41  Key-value stores
#132  Relational DBMS
Score3.16
Rank#95  Overall
#2  Vector DBMS
Websiteaws.amazon.com/­cloudsearchwww.leanxcale.comwww.pinecone.io
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.pinecone.io/­docs/­overview
DeveloperAmazonLeanXcalePinecone Systems, Inc
Initial release201220152019
License infoCommercial or Open Sourcecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Server operating systemshostedhosted
Data schemeyesyes
Typing infopredefined data types such as float or dateyesString, 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.no
Secondary indexesyes infoall search fields are automatically indexed
SQL infoSupport of SQLnoyes infothrough Apache Derbyno
APIs and other access methodsHTTP APIJDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
RESTful HTTP API
Supported programming languagesC
Java
Scala
Python
Server-side scripts infoStored proceduresno
Triggersno
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as required
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWS
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlauthentication via encrypted signatures

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More resources
Amazon CloudSearchLeanXcalePinecone
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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

Amazon to challenge Google with AWS CloudSearch
12 April 2012, VentureBeat

provided by Google News

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26 May 2017, Cordis News

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Reimagining Vector Databases for the Generative AI Era with Pinecone Serverless on AWS | Amazon Web Services
21 March 2024, AWS Blog

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