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DBMS > Google BigQuery vs. Neo4j vs. Stardog

System Properties Comparison Google BigQuery vs. Neo4j vs. Stardog

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonNeo4j  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelRelational DBMSGraph DBMSGraph DBMS
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score62.88
Rank#19  Overall
#13  Relational DBMS
Score47.91
Rank#20  Overall
#1  Graph DBMS
Score1.73
Rank#130  Overall
#12  Graph DBMS
#6  RDF stores
Websitecloud.google.com/­bigqueryneo4j.comwww.stardog.com
Technical documentationcloud.google.com/­bigquery/­docsneo4j.com/­docsdocs.stardog.com
DeveloperGoogleNeo4j, Inc.Stardog-Union
Initial release201020072010
Current release5.23, August 20247.3.0, May 2020
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

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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 indexesnoyes infopluggable indexing subsystem, by default Apache Luceneyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLyesnoYes, compatible with all major SQL variants through dedicated BI/SQL Server
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
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 languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptyes 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 nodesnoneyes using Neo4j Fabricnone
Replication methods infoMethods for redundantly storing data on multiple nodesCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlyMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
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 integritynoyes infoRelationships in graphsyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataACIDACID
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 privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & 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 BigQueryNeo4jStardog
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Google BigQueryNeo4jStardog
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