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DBMS > Amazon CloudSearch vs. Cachelot.io vs. Realm vs. Weaviate

System Properties Comparison Amazon CloudSearch vs. Cachelot.io vs. Realm vs. Weaviate

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonCachelot.io  Xexclude from comparisonRealm  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudIn-memory caching systemA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelSearch engineKey-value storeDocument storeVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#137  Overall
#12  Search engines
Score0.00
Rank#383  Overall
#60  Key-value stores
Score7.60
Rank#52  Overall
#9  Document stores
Score1.73
Rank#143  Overall
#5  Vector DBMS
Websiteaws.amazon.com/­cloudsearchcachelot.iorealm.iogithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationdocs.aws.amazon.com/­cloudsearchrealm.io/­docsweaviate.io/­developers/­weaviate
DeveloperAmazonRealm, acquired by MongoDB in May 2019Weaviate B.V.
Initial release2012201520142019
Current release1.19, May 2023
License infoCommercial or Open SourcecommercialOpen Source infoSimplified BSD LicenseOpen SourceOpen Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Go
Server operating systemshostedFreeBSD
Linux
OS X
Android
Backend: server-less
iOS
Windows
Data schemeyesschema-freeyesyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesnoyesyes infostring, int, float, geo point, date, cross reference, fuzzy references
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.nonono
Secondary indexesyes infoall search fields are automatically indexednoyesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLnononoGraphQL is used as query language
APIs and other access methodsHTTP APIMemcached protocolGraphQL query language
RESTful HTTP/JSON API
Supported programming languages.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
.Net
Java infowith Android only
Objective-C
React Native
Swift
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresnonono inforuns within the applications so server-side scripts are unnecessaryno
Triggersnonoyes infoChange Listenersno
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requirednonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSnonenoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesnoyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoIn-Memory realmyes
User concepts infoAccess controlauthentication via encrypted signaturesnoyesAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
Amazon CloudSearchCachelot.ioRealmWeaviate
Specific characteristicsWeaviate is an open source vector database that is robust, scalable, cloud-native,...
» more
Competitive advantagesFlexible deployment - Free, open source or fully-managed cloud vector database service...
» more
Typical application scenariosAs a database supporting the development of generative AI and semantic search applications...
» more
Key customersAll companies that have data. ​
» more
Market metricsAs of mid 2023: Over 2 million open source downloads 3500+ Weaviate Slack community...
» more
Licensing and pricing modelsWeaviate is open-source, and free to use. Weaviate is also available as a fully managed...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Amazon CloudSearchCachelot.ioRealmWeaviate
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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

Amazon Takes On Google And Microsoft With CloudSearch
16 April 2012, Forbes

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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6 October 2016, The Business Journals

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12 September 2017, Solutions Review

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27 February 2021, DataDrivenInvestor

Kotlin Programming Language Will Surpass Java On Android Next Year
15 October 2017, Fossbytes

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Build enterprise-ready generative AI solutions with Cohere foundation models in Amazon Bedrock and Weaviate vector ...
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17 December 2023, Foley & Lardner LLP

Weaviate Strengthens Partnership with AWS to Make it Easier for Developers to Build Generative AI Applications
16 November 2023, Datanami

Getting Started with Weaviate: A Beginner's Guide to Search with Vector Databases
18 July 2023, Towards Data Science

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