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DBMS > Google Cloud Datastore vs. Memcached vs. Postgres-XL vs. Realm

System Properties Comparison Google Cloud Datastore vs. Memcached vs. Postgres-XL vs. Realm

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Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonMemcached  Xexclude from comparisonPostgres-XL  Xexclude from comparisonRealm  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformIn-memory key-value store, originally intended for cachingBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primary database modelDocument storeKey-value storeRelational DBMSDocument store
Secondary database modelsDocument store
Spatial 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
Score0.49
Rank#256  Overall
#117  Relational DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Websitecloud.google.com/­datastorewww.memcached.orgwww.postgres-xl.orgrealm.io
Technical documentationcloud.google.com/­datastore/­docsgithub.com/­memcached/­memcached/­wikiwww.postgres-xl.org/­documentationrealm.io/­docs
DeveloperGoogleDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalRealm, acquired by MongoDB in May 2019
Initial release200820032014 infosince 2012, originally named StormDB2014
Current release1.6.25, March 202410 R1, October 2018
License infoCommercial or Open SourcecommercialOpen Source infoBSD licenseOpen Source infoMozilla public licenseOpen Source
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 languageCC
Server operating systemshostedFreeBSD
Linux
OS X
Unix
Windows
Linux
macOS
Android
Backend: server-less
iOS
Windows
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyes, details herenoyesyes
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.noyes infoXML type, but no XML query functionalityno
Secondary indexesyesnoyesyes
SQL infoSupport of SQLSQL-like query language (GQL)noyes infodistributed, parallel query executionno
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
Proprietary protocolADO.NET
JDBC
native C library
ODBC
streaming API for large objects
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
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresusing Google App Enginenouser defined functionsno inforuns within the applications so server-side scripts are unnecessary
TriggersCallbacks using the Google Apps Enginenoyesyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using Paxosnone infoRepcached, a Memcached patch, provides this functionallitynone
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsnoACID infoMVCCACID
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.nonoyes infoIn-Memory realm
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) protocolfine grained access rights according to SQL-standardyes

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More resources
Google Cloud DatastoreMemcachedPostgres-XLRealm
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