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

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

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Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonInfobright  Xexclude from comparisonMemcached  Xexclude from comparisonRealm  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformHigh performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontendIn-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 Data
Primary database modelDocument storeRelational DBMSKey-value storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.47
Rank#76  Overall
#12  Document stores
Score0.96
Rank#194  Overall
#91  Relational DBMS
Score19.42
Rank#32  Overall
#4  Key-value stores
Score7.60
Rank#52  Overall
#9  Document stores
Websitecloud.google.com/­datastoreignitetech.com/­softwarelibrary/­infobrightdbwww.memcached.orgrealm.io
Technical documentationcloud.google.com/­datastore/­docsgithub.com/­memcached/­memcached/­wikirealm.io/­docs
DeveloperGoogleIgnite Technologies Inc.; formerly InfoBright Inc.Danga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalRealm, acquired by MongoDB in May 2019
Initial release2008200520032014
Current release1.6.25, March 2024
License infoCommercial or Open Sourcecommercialcommercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016Open Source infoBSD 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 systemshostedLinux
Windows
FreeBSD
Linux
OS X
Unix
Windows
Android
Backend: server-less
iOS
Windows
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyes, details hereyesnoyes
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 indexesyesno infoKnowledge Grid Technology used insteadnoyes
SQL infoSupport of SQLSQL-like query language (GQL)yesnono
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
Proprietary protocol
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresusing Google App Enginenonono inforuns within the applications so server-side scripts are unnecessary
TriggersCallbacks using the Google Apps Enginenonoyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodesShardingnonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using PaxosSource-replica replicationnone 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 pathsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.noyesyes infoIn-Memory realm
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standard infoexploiting MySQL or PostgreSQL frontend capabilitiesyes infousing SASL (Simple Authentication and Security Layer) protocolyes

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More resources
Google Cloud DatastoreInfobrightMemcachedRealm
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