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DBMS > Citus vs. Google BigQuery vs. Google Cloud Firestore vs. MaxDB vs. Neo4j

System Properties Comparison Citus vs. Google BigQuery vs. Google Cloud Firestore vs. MaxDB vs. Neo4j

Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonMaxDB infoformerly named Adabas-D  Xexclude from comparisonNeo4j  Xexclude from comparison
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLLarge scale data warehouse service with append-only tablesCloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.A robust and reliable RDBMS optimized to run all major SAP solutionsScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offerings
Primary database modelRelational DBMSRelational DBMSDocument storeRelational DBMSGraph DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.15
Rank#117  Overall
#56  Relational DBMS
Score58.10
Rank#19  Overall
#13  Relational DBMS
Score7.36
Rank#53  Overall
#9  Document stores
Score2.26
Rank#114  Overall
#55  Relational DBMS
Score44.89
Rank#21  Overall
#1  Graph DBMS
Websitewww.citusdata.comcloud.google.com/­bigqueryfirebase.google.com/­products/­firestoremaxdb.sap.comneo4j.com
Technical documentationdocs.citusdata.comcloud.google.com/­bigquery/­docsfirebase.google.com/­docs/­firestoremaxdb.sap.com/­documentationneo4j.com/­docs
DeveloperGoogleGoogleSAP, acquired from Software AG (Adabas-D) in 1997Neo4j, Inc.
Initial release20102010201719842007
Current release8.1, December 20187.9.10.12, February 20245.20, May 2024
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availablecommercialcommercialcommercial infoLimited community edition freeOpen Source infoGPL version3, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenoyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Neo4j Aura: Neo4j’s fully managed cloud service: The zero-admin, always-on graph database for cloud developers.
Implementation languageCC++Java, Scala
Server operating systemsLinuxhostedhostedAIX
HP-UX
Linux
Solaris
Windows
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Data schemeyesyesschema-freeyesschema-free and schema-optional
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.yes infospecific XML type available, but no XML query functionalitynonono
Secondary indexesyesnoyesyesyes infopluggable indexing subsystem, by default Apache Lucene
SQL infoSupport of SQLyes infostandard, with numerous extensionsyesnoyesno
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP/JSON APIAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
ADO.NET
JDBC
ODBC
WebDAV
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
.Net
C#
Java
Perl
PHP
Python
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.user defined functions infoin JavaScriptyes, Firebase Rules & Cloud Functionsyesyes infoUser defined Procedures and Functions
Triggersyesnoyes, with Cloud Functionsyesyes infovia event handler
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingnoneyes using Neo4j Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsMulti-source replicationSource-replica replicationCausal Clustering using Raft protocol infoavailable in in Enterprise Version only
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoUsing Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Foreign keys infoReferential integrityyesnonoyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoSince BigQuery is designed for querying datayesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)Access rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.fine grained access rights according to SQL-standardUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)
More information provided by the system vendor
CitusGoogle BigQueryGoogle Cloud FirestoreMaxDB infoformerly named Adabas-DNeo4j
Specific characteristicsNeo4j delivers graph technology that has been battle tested for performance and scale...
» more
Competitive advantagesNeo4j is the market leader, graph database category creator, and the most widely...
» more
Typical application scenariosReal-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Key customersOver 800 commercial customers and over 4300 startups use Neo4j. Flagship customers...
» more
Market metricsNeo4j boasts the world's largest graph database ecosystem with more than 140 million...
» more
Licensing and pricing modelsGPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
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