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DBMS > Citus vs. Neo4j vs. YDB

System Properties Comparison Citus vs. Neo4j vs. YDB

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Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonNeo4j  Xexclude from comparisonYDB  Xexclude from comparison
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelRelational DBMSGraph DBMSDocument store
Relational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.15
Rank#123  Overall
#60  Relational DBMS
Score44.47
Rank#23  Overall
#1  Graph DBMS
Score0.34
Rank#285  Overall
#43  Document stores
#130  Relational DBMS
Websitewww.citusdata.comneo4j.comgithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationdocs.citusdata.comneo4j.com/­docsydb.tech/­en/­docs
DeveloperNeo4j, Inc.Yandex
Initial release201020072019
Current release8.1, December 20185.18.1, March 2024
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availableOpen Source infoGPL version3, commercial licenses availableOpen Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud servicenonono
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 languageCJava, Scala
Server operating systemsLinuxLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Linux
Data schemeyesschema-free and schema-optionalFlexible Schema (defined schema, partial schema, schema free)
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.yes infospecific XML type available, but no XML query functionalityno
Secondary indexesyesyes infopluggable indexing subsystem, by default Apache Luceneyes
SQL infoSupport of SQLyes infostandard, with numerous extensionsnoSQL-like query language (YQL)
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
RESTful HTTP API (DynamoDB compatible)
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yes infoUser defined Procedures and Functionsno
Triggersyesyes infovia event handler
Partitioning methods infoMethods for storing different data on different nodesShardingyes using Neo4j FabricSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlyActive-passive shard replication
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
Foreign keys infoReferential integrityyesyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
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.nono
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)Access rights defined for Yandex Cloud users
More information provided by the system vendor
CitusNeo4jYDB
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
News

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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
CitusNeo4jYDB
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22 December 2015, Emil Eifrem (guest author)

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