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DBMS > Amazon CloudSearch vs. Firebase Realtime Database vs. MonetDB vs. Weaviate

System Properties Comparison Amazon CloudSearch vs. Firebase Realtime Database vs. MonetDB vs. Weaviate

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonMonetDB  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.A relational database management system that stores data in columnsAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelSearch engineDocument storeRelational DBMSVector DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.81
Rank#137  Overall
#12  Search engines
Score13.64
Rank#39  Overall
#6  Document stores
Score1.72
Rank#141  Overall
#64  Relational DBMS
Score1.52
Rank#153  Overall
#6  Vector DBMS
Websiteaws.amazon.com/­cloudsearchfirebase.google.com/­products/­realtime-databasewww.monetdb.orggithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationdocs.aws.amazon.com/­cloudsearchfirebase.google.com/­docs/­databasewww.monetdb.org/­Documentationweaviate.io/­developers/­weaviate
DeveloperAmazonGoogle infoacquired by Google 2014MonetDB BVWeaviate B.V.
Initial release2012201220042019
Current releaseDec2023 (11.49), December 20231.19, May 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoMozilla Public License 2.0Open Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCGo
Server operating systemshostedhostedFreeBSD
Linux
OS X
Solaris
Windows
Data schemeyesschema-freeyesyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyesyesyes 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.nono
Secondary indexesyes infoall search fields are automatically indexedyesyesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLnonoyes infoSQL 2003 with some extensionsGraphQL is used as query language
APIs and other access methodsHTTP APIAndroid
iOS
JavaScript API
RESTful HTTP API
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesJava
JavaScript
Objective-C
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresnolimited functionality with using 'rules'yes, in SQL, C, Rno
TriggersnoCallbacks are triggered when data changesyesno
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredSharding via remote tablesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSnone infoSource-replica replication available in experimental statusyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Eventual Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACIDno
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.yes
User concepts infoAccess controlauthentication via encrypted signaturesyes, based on authentication and database rulesfine grained access rights according to SQL-standardAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
Amazon CloudSearchFirebase Realtime DatabaseMonetDBWeaviate
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 CloudSearchFirebase Realtime DatabaseMonetDBWeaviate
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Amazon CloudSearch – Start Searching in One Hour for Less Than $100 / Month | Amazon Web Services
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