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DBMS > Google Cloud Datastore vs. Memcached vs. Realm vs. Weaviate

System Properties Comparison Google Cloud Datastore vs. Memcached vs. Realm vs. Weaviate

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Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonMemcached  Xexclude from comparisonRealm  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformIn-memory key-value store, originally intended for cachingA 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 modelDocument storeKey-value storeDocument storeVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.47
Rank#76  Overall
#12  Document stores
Score19.42
Rank#32  Overall
#4  Key-value stores
Score7.60
Rank#52  Overall
#9  Document stores
Score1.73
Rank#143  Overall
#5  Vector DBMS
Websitecloud.google.com/­datastorewww.memcached.orgrealm.iogithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationcloud.google.com/­datastore/­docsgithub.com/­memcached/­memcached/­wikirealm.io/­docsweaviate.io/­developers/­weaviate
DeveloperGoogleDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalRealm, acquired by MongoDB in May 2019Weaviate B.V.
Initial release2008200320142019
Current release1.6.25, March 20241.19, May 2023
License infoCommercial or Open SourcecommercialOpen Source infoBSD 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 languageCGo
Server operating systemshostedFreeBSD
Linux
OS X
Unix
Windows
Android
Backend: server-less
iOS
Windows
Data schemeschema-freeschema-freeyesyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyes, details herenoyesyes 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 indexesyesnoyesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLSQL-like query language (GQL)nonoGraphQL is used as query language
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
Proprietary protocolGraphQL query language
RESTful HTTP/JSON API
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
.Net
Java infowith Android only
Objective-C
React Native
Swift
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresusing Google App Enginenono inforuns within the applications so server-side scripts are unnecessaryno
TriggersCallbacks using the Google Apps Enginenoyes infoChange Listenersno
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using Paxosnone infoRepcached, a Memcached patch, provides this functionallitynoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsnoACIDno
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 controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yes infousing SASL (Simple Authentication and Security Layer) protocolyesAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
Google Cloud DatastoreMemcachedRealmWeaviate
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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Google Cloud DatastoreMemcachedRealmWeaviate
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