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DBMS > Amazon CloudSearch vs. ArcadeDB vs. Atos Standard Common Repository vs. Pinecone

System Properties Comparison Amazon CloudSearch vs. ArcadeDB vs. Atos Standard Common Repository vs. Pinecone

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonArcadeDB  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonPinecone  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudFast and scalable multi-model DBMS, originally forked from OrientDB but most of the code has been rewrittenHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksA managed, cloud-native vector database
Primary database modelSearch engineDocument store
Graph DBMS
Key-value store
Time Series DBMS infoin next version
Document store
Key-value store
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.81
Rank#137  Overall
#12  Search engines
Score0.10
Rank#358  Overall
#48  Document stores
#38  Graph DBMS
#52  Key-value stores
#35  Time Series DBMS
Score3.23
Rank#92  Overall
#3  Vector DBMS
Websiteaws.amazon.com/­cloudsearcharcadedb.comatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.pinecone.io
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.arcadedb.comdocs.pinecone.io/­docs/­overview
DeveloperAmazonArcade DataAtos Convergence CreatorsPinecone Systems, Inc
Initial release2012202120162019
Current releaseSeptember 20211703
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialcommercial
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 languageJavaJava
Server operating systemshostedAll OS with a Java VMLinuxhosted
Data schemeyesschema-freeSchema and schema-less with LDAP views
Typing infopredefined data types such as float or dateyesyesoptionalString, 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.noyesno
Secondary indexesyes infoall search fields are automatically indexedyesyes
SQL infoSupport of SQLnoSQL-like query language, no joinsnono
APIs and other access methodsHTTP APIJDBC
MongoDB API
OpenCypher
PostgreSQL wire protocol
Redis API
RESTful HTTP/JSON API
TinkerPop Gremlin
LDAPRESTful HTTP API
Supported programming languagesJavaAll languages with LDAP bindingsPython
Server-side scripts infoStored proceduresnono
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredSharding infocell division
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyes inforelationship in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDAtomic execution of specific operations
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.yesno
User concepts infoAccess controlauthentication via encrypted signaturesLDAP bind authentication

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More resources
Amazon CloudSearchArcadeDBAtos Standard Common RepositoryPinecone
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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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10 May 2016, All Things Distributed

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12 June 2024, MarkTechPost

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