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DBMS > Google Cloud Datastore vs. HugeGraph vs. Microsoft Azure Cosmos DB vs. SQL.JS

System Properties Comparison Google Cloud Datastore vs. HugeGraph vs. Microsoft Azure Cosmos DB vs. SQL.JS

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Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonHugeGraph  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  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 DBMSGlobally distributed, horizontally scalable, multi-model database servicePort of SQLite to JavaScript
Primary database modelDocument storeGraph DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Relational DBMS
Secondary database modelsSpatial 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
Score27.71
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score0.63
Rank#241  Overall
#112  Relational DBMS
Websitecloud.google.com/­datastoregithub.com/­hugegraph
hugegraph.apache.org
azure.microsoft.com/­services/­cosmos-dbsql.js.org
Technical documentationcloud.google.com/­datastore/­docshugegraph.apache.org/­docslearn.microsoft.com/­azure/­cosmos-dbsql.js.org/­documentation/­index.html
DeveloperGoogleBaiduMicrosoftAlon Zakai infoenhancements implemented by others
Initial release2008201820142012
Current release0.9
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialOpen Source
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaScript
Server operating systemshostedLinux
macOS
Unix
hostedserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyes, details hereyesyes infoJSON typesyes
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 indexesyesyes infoalso supports composite index and range indexyes infoAll properties auto-indexed by default
SQL infoSupport of SQLSQL-like query language (GQL)noSQL-like query languageyes 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
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
JavaScript API
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Groovy
Java
Python
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
JavaScript
Server-side scripts infoStored proceduresusing Google App Engineasynchronous Gremlin script jobsJavaScriptno
TriggersCallbacks using the Google Apps EnginenoJavaScriptno
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding infoImplicit feature of the cloud servicenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using Paxosyes infodepending on used storage backend, e.g. Cassandra and HBaseyes infoImplicit feature of the cloud servicenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflowvia hugegraph-sparkwith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*no
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 ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
none
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsyes infoedges in graphnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDMulti-item ACID transactions with snapshot isolation within a partitionACID
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 permissionsAccess rights can be defined down to the item levelno

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More resources
Google Cloud DatastoreHugeGraphMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBSQL.JS
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