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DBMS > Google Cloud Spanner vs. Neo4j vs. Stardog

System Properties Comparison Google Cloud Spanner vs. Neo4j vs. Stardog

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Editorial information provided by DB-Engines
NameGoogle Cloud Spanner  Xexclude from comparisonNeo4j  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.Open source graph databaseEnterprise Knowledge Graph and graph DBMS with high availability and high performance reasoning
Primary database modelRelational DBMSGraph DBMSGraph DBMS
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.35
Rank#111  Overall
#57  Relational DBMS
Score48.39
Rank#22  Overall
#1  Graph DBMS
Score0.89
Rank#165  Overall
#12  Graph DBMS
#6  RDF stores
Websitecloud.google.com/­spannerneo4j.comwww.stardog.com
Technical documentationcloud.google.com/­spanner/­docsneo4j.com/­docswww.stardog.com/­docs
DeveloperGoogleNeo4j, Inc.Stardog-Union
Initial release201720072010
Current release3.5.4, April 20196.2.3, July 2019
License infoCommercial or Open SourcecommercialOpen Source infoGPL version3, commercial licenses availablecommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ScalaJava
Server operating systemshostedLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Linux
macOS
Windows
Data schemeyesschema-free and schema-optionalschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateyesyesyes
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 infoImport/export of XML data possible
Secondary indexesyesyes infopluggable indexing subsystem, by default Apache Luceneyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLyes infoQuery statements complying to ANSI 2011noSPARQL is used as query language
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresnoyes infoUser defined Procedures and Functionsuser defined functions and aggregates, HTTP Server extensions in Java
Triggersnoyes infovia event handleryes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-Master replication with 3 replicas for regional instances.Causal Clustering using Raft protocol infoavailable in in Enterprise Version onlyMaster-master replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownono
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
Immediate Consistency in HA-Cluster
Foreign keys infoReferential integrityyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityyes infoRelationships in graphsyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoStrict serializable isolationACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Users, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)Access rights for users and roles
More information provided by the system vendor
Google Cloud SpannerNeo4jStardog
Specific characteristicsNeo4j is a native graph database platform that is built to store, query, analyze...
» more
Stardog is a knowledge graph platform backed by a performant, scalable graph database....
» more
Competitive advantagesNeo4j database is the only transactional database that combines everything you need...
» more
Stardog is uniquely designed to aid in data integration for your complex data. Benefits...
» more
Typical application scenariosReal-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Stardog is frequently used for: Anti-money laundering & fraud monitoring Customer...
» more
Key customersOver 300 commercial customers and over 750 startups use Neo4j. Flagship customers...
» more
Bosch, Dow Jones, Elsevier, Ericsson, Morgan Stanley, NASA, NIH, Nokia, Salesforce,...
» more
Market metricsNeo4j boasts the world's largest graph database ecosystem with more than a 15 million...
» more
Stardog's technology is based on ground-breaking research by our founders cited 10,000+...
» more
Licensing and pricing modelsGPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
A fully-featured 60-day Trial license is available for those testing Stardog; contact...
» more
News

AI & Graph Technology: Connections Improve Accuracy
19 August 2019

This Week in Neo4j – 4.0 Milestone Testing, Highschool Popularity Algorithms, Minecraft Crafting Tree, Cancer Graph and Social Network Pagination
17 August 2019

#GraphCast: Better Data, Better Decisions
16 August 2019

Visualizing This Week in Tech
15 August 2019

AI & Graph Technology: How Graphs Accelerate Machine Learning
12 August 2019

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

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More resources
Google Cloud SpannerNeo4jStardog
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Conferences and events

GraphConnect 2020
New York, USA, 20-22 April 2020

Recent citations in the news

Cockroach Labs: With new funding, its future belongs in the cloud
6 August 2019, ZDNet

Google Releases Enterprise Database Options, Targets SQL Server Customers
13 August 2019, InfoQ.com

Google’s Cloud Spanner database adds new features and regions
19 December 2018, TechCrunch

Striim Launches PaaS Solution for Real-Time Data Integration to Google Cloud Spanner
2 April 2019, PRNewswire

Google Updates Cloud Spanner: Query Introspection, New Regions, and New Multi-Region Configurations
31 December 2018, InfoQ.com

provided by Google News

Neo4j and Thales bring data security to the graph database
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23 July 2019, PRNewswire

NEORIS Forges Global Partnership with Neo4j to Augment Human Intelligence and Data Management Capabilities at Scale
1 August 2019, PRNewswire

New Graph Database Performance Benchmark Confirms Graph Databases are Ready for Solving Real-World Business Intelligence, Data Challenges
14 August 2019, Yahoo Finance

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