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DBMS > Google BigQuery vs. Neo4j

System Properties Comparison Google BigQuery vs. Neo4j

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Our visitors often compare Google BigQuery and Neo4j with Microsoft Azure Cosmos DB, Elasticsearch and PostgreSQL.

Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonNeo4j  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesOpen source graph database
Primary database modelRelational DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score29.65
Rank#25  Overall
#15  Relational DBMS
Score48.92
Rank#22  Overall
#1  Graph DBMS
Websitecloud.google.com/­bigqueryneo4j.com
Technical documentationcloud.google.com/­bigquery/­docsneo4j.com/­docs
DeveloperGoogleNeo4j, Inc.
Initial release20102007
Current release4.0.5, June 2020
License infoCommercial or Open SourcecommercialOpen Source infoGPL version3, commercial licenses available
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 languageJava, Scala
Server operating systemshostedLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Data schemeyesschema-free and schema-optional
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.no
Secondary indexesnoyes infopluggable indexing subsystem, by default Apache Lucene
SQL infoSupport of SQLyesno
APIs and other access methodsRESTful HTTP/JSON APIBolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptyes infoUser defined Procedures and Functions
Triggersnoyes infovia event handler
Partitioning methods infoMethods for storing different data on different nodesnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesCausal Clustering using Raft protocol infoavailable in in Enterprise Version only
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
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
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlAccess privileges (owner, writer, reader) for whole datasets, not for individual tables infoGoogle Cloud Identity & Access Management (IAM)Users, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)
More information provided by the system vendor
Google BigQueryNeo4j
Specific characteristicsNeo4j is a native graph database platform that is built to store, query, analyze...
» more
Competitive advantagesNeo4j database is the only transactional database that combines everything you need...
» more
Typical application scenariosReal-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Key customersOver 300 commercial customers and over 750 startups use Neo4j. Flagship customers...
» more
Market metricsNeo4j boasts the world's largest graph database ecosystem with more than a 15 million...
» more
Licensing and pricing modelsGPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
News

Introducing Drivine: Graph Database Client for Node.js and Typescript
7 July 2020

Rethink Your Master Data: How Graphs and MDM Intersect
6 July 2020

This Week in Neo4j – Flask User Auth, COVID-19: The Effect of the Seasons, GDS Graph Embeddings
4 July 2020

#GraphCast: What Is a Graph Database in 10 Minutes
3 July 2020

Getting Started with Neo4j Fabric
2 July 2020

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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3rd partiesCData: Connect to Big Data & NoSQL through standard Drivers.
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More resources
Google BigQueryNeo4j
DB-Engines blog posts

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2 October 2015, Paul Andlinger

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Applying Graph Analytics to Game of Thrones
12 June 2019, Amy Hodler & Mark Needham, Neo4j (guest author)

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2 March 2016, Paul Andlinger

The openCypher Project: Help Shape the SQL for Graphs
22 December 2015, Emil Eifrem (guest author)

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Recent citations in the news

Comparing Redshift and BigQuery in various terms
13 December 2018, Analytics India Magazine

provided by Google News

Introducing Bundle Layout and Support for MongoDB 4.2 and Neo4j 4.0
1 July 2020, PR Web

Change data capture from Neo4j to Amazon Neptune using Amazon Managed Streaming for Apache Kafka
22 June 2020, idk.dev

GPU Database Market Survey Report 2020-2026: Kinetica DB, OmniSci, Neo4j
1 July 2020, NJ MMA News

Graph Databases Software Market 2020 latest developments and prospects – SAP, Twitter, Neo4j, IBM, Oracle
22 June 2020, Cole of Duty

Using graphs to develop a deeper understanding of COVID-19
16 June 2020, Healthcare IT News

provided by Google News

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