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DBMS > Google Cloud Datastore vs. Memcached vs. RavenDB vs. Riak TS

System Properties Comparison Google Cloud Datastore vs. Memcached vs. RavenDB vs. Riak TS

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Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonMemcached  Xexclude from comparisonRavenDB  Xexclude from comparisonRiak TS  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformIn-memory key-value store, originally intended for cachingOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KV
Primary database modelDocument storeKey-value storeDocument storeTime Series DBMS
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.36
Rank#72  Overall
#12  Document stores
Score18.08
Rank#32  Overall
#4  Key-value stores
Score2.84
Rank#101  Overall
#18  Document stores
Score0.28
Rank#307  Overall
#27  Time Series DBMS
Websitecloud.google.com/­datastorewww.memcached.orgravendb.net
Technical documentationcloud.google.com/­datastore/­docsgithub.com/­memcached/­memcached/­wikiravendb.net/­docswww.tiot.jp/­riak-docs/­riak/­ts/­latest
DeveloperGoogleDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalHibernating RhinosOpen Source, formerly Basho Technologies
Initial release2008200320102015
Current release1.6.27, May 20245.4, July 20223.0.0, September 2022
License infoCommercial or Open SourcecommercialOpen Source infoBSD licenseOpen Source infoAGPL version 3, commercial license availableOpen 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#Erlang
Server operating systemshostedFreeBSD
Linux
OS X
Unix
Windows
Linux
macOS
Raspberry Pi
Windows
Linux
OS X
Data schemeschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyes, details herenonono
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 indexesyesnoyesrestricted
SQL infoSupport of SQLSQL-like query language (GQL)noSQL-like query language (RQL)yes, limited
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
Proprietary protocol.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
HTTP API
Native Erlang Interface
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#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresusing Google App EnginenoyesErlang
TriggersCallbacks using the Google Apps Enginenoyesyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using Paxosnone infoRepcached, a Memcached patch, provides this functionallityMulti-source replicationselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownoyesyes
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.Default ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Eventual Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsnonono infolinks between datasets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsnoACID, Cluster-wide transaction availableno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.no
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) protocolAuthorization levels configured per client per databaseno

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More resources
Google Cloud DatastoreMemcachedRavenDBRiak TS
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