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DBMS > Citus vs. Neo4j vs. RavenDB vs. YugabyteDB

System Properties Comparison Citus vs. Neo4j vs. RavenDB vs. YugabyteDB

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Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonNeo4j  Xexclude from comparisonRavenDB  Xexclude from comparisonYugabyteDB  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 offeringsOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseHigh-performance distributed SQL database for global, internet-scale applications. Wire and feature compatible with PostgreSQL.
Primary database modelRelational DBMSGraph DBMSDocument storeRelational DBMS
Secondary database modelsDocument storeGraph DBMS
Spatial DBMS
Time Series DBMS
Document store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.13
Rank#117  Overall
#56  Relational DBMS
Score42.68
Rank#21  Overall
#1  Graph DBMS
Score2.68
Rank#102  Overall
#19  Document stores
Score2.48
Rank#108  Overall
#53  Relational DBMS
Websitewww.citusdata.comneo4j.comravendb.netwww.yugabyte.com
Technical documentationdocs.citusdata.comneo4j.com/­docsravendb.net/­docsdocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperNeo4j, Inc.Hibernating RhinosYugabyte Inc.
Initial release2010200720102017
Current release8.1, December 20185.23, August 20245.4, July 20222.19, September 2023
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availableOpen Source infoGPL version3, commercial licenses availableOpen Source infoAGPL version 3, commercial license availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
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.YugabyteDB Managed is the fully managed database-as-a-service offering of YugabyteDB. Get started quickly, and effortlessly ensure continuous availability and limitless scale of your cloud native applications.
Implementation languageCJava, ScalaC#C and C++
Server operating systemsLinuxLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Linux
macOS
Raspberry Pi
Windows
Linux
OS X
Data schemeyesschema-free and schema-optionalschema-freedepending on used data model
Typing infopredefined data types such as float or dateyesyesnoyes
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 Luceneyesyes
SQL infoSupport of SQLyes infostandard, with numerous extensionsnoSQL-like query language (RQL)yes, PostgreSQL compatible
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
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
JDBC
YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language
YSQL - a fully relational SQL API that is wire compatible with the SQL language in PostgreSQL
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
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Scala
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 Functionsyesyes infosql, plpgsql, C
Triggersyesyes infovia event handleryesyes
Partitioning methods infoMethods for storing different data on different nodesShardingyes using Neo4j FabricShardingHash and Range Sharding, row-level geo-partitioning
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 onlyMulti-source replicationBased on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
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
Default ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Strong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integrityyesyes infoRelationships in graphsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID, Cluster-wide transaction availableDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infobased on RocksDB
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)Authorization levels configured per client per databaseyes
More information provided by the system vendor
CitusNeo4jRavenDBYugabyteDB
Specific characteristicsNeo4j delivers graph technology that has been battle tested for performance and scale...
» more
YugabyteDB is an open source distributed SQL database for cloud native transactional...
» more
Competitive advantagesNeo4j is the market leader, graph database category creator, and the most widely...
» more
PostgreSQL compatible: Get instantly productive with a PostgreSQL compatible RDBMS....
» more
Typical application scenariosReal-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Systems of record and engagement for cloud native applications that require resilience,...
» 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
2 Million+ lifetime clusters deployed, 6.5K+ GitHub stars, 7K YugabyteDB Community...
» more
Licensing and pricing modelsGPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
Apache 2.0 license for the database
» more
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4 September 2024

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

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Recent citations in the news

Microsoft acquires Citus Data, re-affirming its commitment to Open Source and accelerating Azure PostgreSQL performance and scale
24 January 2019, Microsoft

Ubicloud wants to build an open source alternative to AWS
5 March 2024, TechCrunch

Microsoft acquires Citus Data, creators of a cloud-friendly version of the PostgreSQL database
24 January 2019, GeekWire

Microsoft buys an open source database startup to give it an edge against Amazon Web Services
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YugabyteDB evolves into a distributed PostgreSQL database for apps that need resilience and scale
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