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DBMS > Citus vs. FatDB vs. Neo4j vs. SAP HANA

System Properties Comparison Citus vs. FatDB vs. Neo4j vs. SAP HANA

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Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonFatDB  Xexclude from comparisonNeo4j  Xexclude from comparisonSAP HANA  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLA .NET NoSQL DBMS that can integrate with and extend SQL Server.Scalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsIn-memory, column based data store. Available as appliance or cloud service
Primary database modelRelational DBMSDocument store
Key-value store
Graph DBMSRelational DBMS
Secondary database modelsDocument storeDocument store
Graph DBMS infowith SAP Hana, Enterprise Edition
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.15
Rank#117  Overall
#56  Relational DBMS
Score44.89
Rank#21  Overall
#1  Graph DBMS
Score44.27
Rank#23  Overall
#16  Relational DBMS
Websitewww.citusdata.comneo4j.comwww.sap.com/­products/­hana.html
Technical documentationdocs.citusdata.comneo4j.com/­docshelp.sap.com/­hana
DeveloperFatCloudNeo4j, Inc.SAP
Initial release2010201220072010
Current release8.1, December 20185.20, May 20242.0 SPS07 (April 4, 2023), April 2023
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availablecommercialOpen Source infoGPL version3, commercial licenses availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono infoalso available as a cloud based service
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 systemsLinuxWindowsLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Appliance or cloud-service
Data schemeyesschema-freeschema-free and schema-optionalyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 functionalityno
Secondary indexesyesyesyes infopluggable indexing subsystem, by default Apache Luceneyes
SQL infoSupport of SQLyes infostandard, with numerous extensionsno infoVia inetgration in SQL Servernoyes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
JDBC
ODBC
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C#.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.yes infovia applicationsyes infoUser defined Procedures and FunctionsSQLScript, R
Triggersyesyes infovia applicationsyes infovia event handleryes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes using Neo4j Fabricyes
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsselectable replication factorCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlyyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Causal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Immediate Consistency
Foreign keys infoReferential integrityyesnoyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlfine grained access rights according to SQL-standardno infoCan implement custom security layer via applicationsUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)yes
More information provided by the system vendor
CitusFatDBNeo4jSAP HANA
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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