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DBMS > Google Cloud Datastore vs. HugeGraph vs. Riak KV vs. SQL.JS

System Properties Comparison Google Cloud Datastore vs. HugeGraph vs. Riak KV vs. SQL.JS

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Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonHugeGraph  Xexclude from comparisonRiak KV  Xexclude from comparisonSQL.JS  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformA fast-speed and highly-scalable Graph DBMSDistributed, fault tolerant key-value storePort of SQLite to JavaScript
Primary database modelDocument storeGraph DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexesRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.36
Rank#72  Overall
#12  Document stores
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score4.01
Rank#79  Overall
#9  Key-value stores
Score0.63
Rank#241  Overall
#112  Relational DBMS
Websitecloud.google.com/­datastoregithub.com/­hugegraph
hugegraph.apache.org
sql.js.org
Technical documentationcloud.google.com/­datastore/­docshugegraph.apache.org/­docswww.tiot.jp/­riak-docs/­riak/­kv/­latestsql.js.org/­documentation/­index.html
DeveloperGoogleBaiduOpenSource, formerly Basho TechnologiesAlon Zakai infoenhancements implemented by others
Initial release2008201820092012
Current release0.93.2.0, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache version 2, commercial enterprise editionOpen 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 languageJavaErlangJavaScript
Server operating systemshostedLinux
macOS
Unix
Linux
OS X
server-less, requires a JavaScript environment (browser, Node.js)
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.nononono
Secondary indexesyesyes infoalso supports composite index and range indexrestricted
SQL infoSupport of SQLSQL-like query language (GQL)nonoyes infoSQL-92 is not fully supported
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
Java API
RESTful HTTP API
TinkerPop Gremlin
HTTP API
Native Erlang Interface
JavaScript API
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Groovy
Java
Python
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
JavaScript
Server-side scripts infoStored proceduresusing Google App Engineasynchronous Gremlin script jobsErlangno
TriggersCallbacks using the Google Apps Enginenoyes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding infono "single point of failure"none
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using Paxosyes infodepending on used storage backend, e.g. Cassandra and HBaseselectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflowvia hugegraph-sparkyesno
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.Eventual ConsistencyEventual Consistencynone
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsyes infoedges in graphno infolinks between data sets can be storedyes
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 persistentyesyesyesno infoexcept by serializing a db to a file
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Users, roles and permissionsyes, using Riak Securityno

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More resources
Google Cloud DatastoreHugeGraphRiak KVSQL.JS
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