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DBMS > Google Cloud Bigtable vs. Google Cloud Firestore vs. Memcached vs. Weaviate

System Properties Comparison Google Cloud Bigtable vs. Google Cloud Firestore vs. Memcached vs. Weaviate

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Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonMemcached  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Cloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.In-memory key-value store, originally intended for cachingAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelKey-value store
Wide column store
Document storeKey-value storeVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score7.85
Rank#51  Overall
#8  Document stores
Score19.42
Rank#32  Overall
#4  Key-value stores
Score1.73
Rank#143  Overall
#5  Vector DBMS
Websitecloud.google.com/­bigtablefirebase.google.com/­products/­firestorewww.memcached.orggithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationcloud.google.com/­bigtable/­docsfirebase.google.com/­docs/­firestoregithub.com/­memcached/­memcached/­wikiweaviate.io/­developers/­weaviate
DeveloperGoogleGoogleDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalWeaviate B.V.
Initial release2015201720032019
Current release1.6.25, March 20241.19, May 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoBSD licenseOpen 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
Unix
Windows
Data schemeschema-freeschema-freeschema-freeyes, maps to GraphQL interface
Typing infopredefined data types such as float or datenoyesnoyes 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 indexesnoyesnoyes 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 methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Proprietary protocolGraphQL query language
RESTful HTTP/JSON API
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresnoyes, Firebase Rules & Cloud Functionsnono
Triggersnoyes, with Cloud Functionsnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesMulti-source replicationnone infoRepcached, a Memcached patch, provides this functionallityyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesUsing Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsyesnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesnoyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.yes infousing SASL (Simple Authentication and Security Layer) protocolAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
Google Cloud BigtableGoogle Cloud FirestoreMemcachedWeaviate
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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More resources
Google Cloud BigtableGoogle Cloud FirestoreMemcachedWeaviate
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