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DBMS > Google BigQuery vs. Nebula Graph

System Properties Comparison Google BigQuery vs. Nebula Graph

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Our visitors often compare Google BigQuery and Nebula Graph with Neo4j, Microsoft Azure Cosmos DB and GraphDB.

Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonNebula Graph  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesA distributed, linear scalable, high perfomant Graph DBMS
Primary database modelRelational DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score50.03
Rank#24  Overall
#16  Relational DBMS
Score1.08
Rank#171  Overall
#14  Graph DBMS
Websitecloud.google.com/­bigquerygithub.com/­vesoft-inc/­nebula
nebula-graph.io
Technical documentationcloud.google.com/­bigquery/­docsdocs.nebula-graph.io
DeveloperGoogleVesoft Inc.
Initial release20102019
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0 + Common Clause 1.0
Cloud-based only infoOnly available as a cloud serviceyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++
Server operating systemshostedLinux
Data schemeyesStrong typed schema
Typing infopredefined data types such as float or dateyesyes
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 indexesnoyes infoNebula Graph internally uses the Key-Value store RocksDB for persistency. The vertices, edges, and their properties are stored as Key while their values are stored as Value. The primary indexes are per Key and secondary indexes are per Value.
SQL infoSupport of SQLyesSQL-like query language
APIs and other access methodsRESTful HTTP/JSON APIBrowser interface
console (shell)
Proprietary native API
Query language nGQL
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C++
Go
Java
Python
Server-side scripts infoStored proceduresuser defined functions infoin JavaScript
Triggersno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesCausal Clustering using Raft protocol
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes infousing RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)Role-based access control
More information provided by the system vendor
Google BigQueryNebula Graph
Specific characteristicsNebula Graph is a truly distributed, linearly scalable, lightning-fast graph database,...
» more
Competitive advantagesNebula Graph boasts the world's only graph database solution that is able to host...
» more
Typical application scenariosSocial networking Fraud detection Knowledge graph Data warehouse management Anti...
» more
Key customersCurrently we have some top internet companies in China implementing Nebula Graph...
» more
Market metricsAt our very early stage, Nebula Graph has already received 3.5k stars and thousands...
» more
Licensing and pricing modelsNebula Graph is open source and free to use under Apache 2.0 license and Common Clause...
» more

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More resources
Google BigQueryNebula Graph
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