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

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

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonLeanXcale  Xexclude from comparisonOpenTSDB  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 capabilitiesScalable Time Series DBMS based on HBaseA managed, cloud-native vector database
Primary database modelSearch engineKey-value store
Relational DBMS
Time Series DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.81
Rank#137  Overall
#12  Search engines
Score0.36
Rank#280  Overall
#40  Key-value stores
#129  Relational DBMS
Score1.68
Rank#142  Overall
#12  Time Series DBMS
Score3.23
Rank#92  Overall
#3  Vector DBMS
Websiteaws.amazon.com/­cloudsearchwww.leanxcale.comopentsdb.netwww.pinecone.io
Technical documentationdocs.aws.amazon.com/­cloudsearchopentsdb.net/­docs/­build/­html/­index.htmldocs.pinecone.io/­docs/­overview
DeveloperAmazonLeanXcalecurrently maintained by Yahoo and other contributorsPinecone Systems, Inc
Initial release2012201520112019
License infoCommercial or Open SourcecommercialcommercialOpen Source infoLGPLcommercial
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 languageJava
Server operating systemshostedLinux
Windows
hosted
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesnumeric data for metrics, strings for tagsString, 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 SQLnoyes infothrough Apache Derbynono
APIs and other access methodsHTTP APIJDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
HTTP API
Telnet API
RESTful HTTP API
Supported programming languagesC
Java
Scala
Erlang
Go
Java
Python
R
Ruby
Python
Server-side scripts infoStored proceduresnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynoyesno
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.yesnono
User concepts infoAccess controlauthentication via encrypted signaturesno

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More resources
Amazon CloudSearchLeanXcaleOpenTSDBPinecone
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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

AWS, Microsoft and Google should retire these cloud services
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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16 July 2021, Towards Data Science

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1 June 2016, The New Stack

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2 April 2015, O'Reilly Radar

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PostgreSQL is Now Faster than Pinecone, 75% Cheaper, with New Open Source Extensions
11 June 2024, PR Newswire

A New Era AI Databases: PostgreSQL with pgvectorscale Outperforms Pinecone and Cuts Costs by 75% with New Open-Source Extensions
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Pinecone launches its serverless vector database out of preview
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