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DBMS > Google BigQuery vs. HugeGraph vs. Oracle NoSQL vs. SQL.JS

System Properties Comparison Google BigQuery vs. HugeGraph vs. Oracle NoSQL vs. SQL.JS

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonHugeGraph  Xexclude from comparisonOracle NoSQL  Xexclude from comparisonSQL.JS  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesA fast-speed and highly-scalable Graph DBMSA multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodesPort of SQLite to JavaScript
Primary database modelRelational DBMSGraph DBMSDocument store
Key-value store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score58.10
Rank#19  Overall
#13  Relational DBMS
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score3.05
Rank#97  Overall
#17  Document stores
#16  Key-value stores
#50  Relational DBMS
Score0.63
Rank#241  Overall
#112  Relational DBMS
Websitecloud.google.com/­bigquerygithub.com/­hugegraph
hugegraph.apache.org
www.oracle.com/­database/­nosql/­technologies/­nosqlsql.js.org
Technical documentationcloud.google.com/­bigquery/­docshugegraph.apache.org/­docsdocs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.htmlsql.js.org/­documentation/­index.html
DeveloperGoogleBaiduOracleAlon Zakai infoenhancements implemented by others
Initial release2010201820112012
Current release0.924.1, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoProprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)Open Source
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaScript
Server operating systemshostedLinux
macOS
Unix
Linux
Solaris SPARC/x86
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesyesSupport Fixed schema and Schema-less deployment with the ability to interoperate between them.yes
Typing infopredefined data types such as float or dateyesyesoptionalyes
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 indexesnoyes infoalso supports composite index and range indexyes
SQL infoSupport of SQLyesnoSQL-like DML and DDL statementsyes infoSQL-92 is not fully supported
APIs and other access methodsRESTful HTTP/JSON APIJava API
RESTful HTTP API
TinkerPop Gremlin
RESTful HTTP APIJavaScript API
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
Groovy
Java
Python
C
C#
Go
Java
JavaScript (Node.js)
Python
JavaScript
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptasynchronous Gremlin script jobsnono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnoneyes infodepending on used storage backend, e.g. Cassandra and HBaseShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseElectable source-replica replication per shard. Support distributed global deployment with Multi-region table featurenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-sparkwith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency
Immediate Consistency infodepending on configuration
none
Foreign keys infoReferential integritynoyes infoedges in graphnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataACIDconfigurable infoACID within a storage node (=shard)ACID
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 infooff heap cacheyes
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)Users, roles and permissionsAccess rights for users and rolesno

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More resources
Google BigQueryHugeGraphOracle NoSQLSQL.JS
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