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DBMS > Amazon CloudSearch vs. FeatureBase vs. LeanXcale vs. Pinecone

System Properties Comparison Amazon CloudSearch vs. FeatureBase vs. LeanXcale vs. Pinecone

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonFeatureBase  Xexclude from comparisonLeanXcale  Xexclude from comparisonPinecone  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.A highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesA managed, cloud-native vector database
Primary database modelSearch engineRelational DBMSKey-value store
Relational DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.74
Rank#133  Overall
#12  Search engines
Score0.22
Rank#302  Overall
#136  Relational DBMS
Score0.28
Rank#285  Overall
#41  Key-value stores
#130  Relational DBMS
Score3.09
Rank#84  Overall
#4  Vector DBMS
Websiteaws.amazon.com/­cloudsearchwww.featurebase.comwww.leanxcale.comwww.pinecone.io
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.featurebase.comdocs.pinecone.io/­docs/­overview
DeveloperAmazonMolecula and Pilosa Open Source ContributorsLeanXcalePinecone Systems, Inc
Initial release2012201720152019
Current release2022, May 2022
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial
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 languageGo
Server operating systemshostedLinux
macOS
hosted
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesString, 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 indexedno
SQL infoSupport of SQLnoSQL queriesyes infothrough Apache Derbyno
APIs and other access methodsHTTP APIgRPC
JDBC
Kafka Connector
ODBC
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
RESTful HTTP API
Supported programming languagesJava
Python
C
Java
Scala
Python
Server-side scripts infoStored proceduresno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes, using Linux fsyncyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlauthentication via encrypted signatures

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More resources
Amazon CloudSearchFeatureBaseLeanXcalePinecone
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Recent citations in the news

Transition from Amazon CloudSearch to Amazon OpenSearch Service
25 July 2024, AWS Blog

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31 July 2024, Neowin

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31 July 2024, The Stack

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