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DBMS > Neo4j vs. Postgres-XL vs. Ultipa

System Properties Comparison Neo4j vs. Postgres-XL vs. Ultipa

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Editorial information provided by DB-Engines
NameNeo4j  Xexclude from comparisonPostgres-XL  Xexclude from comparisonUltipa  Xexclude from comparison
DescriptionScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresHigh performance Graph DBMS supporting HTAP high availability cluster deployment
Primary database modelGraph DBMSRelational DBMSGraph DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score42.68
Rank#21  Overall
#1  Graph DBMS
Score0.43
Rank#260  Overall
#119  Relational DBMS
Score0.11
Rank#338  Overall
#32  Graph DBMS
Websiteneo4j.comwww.postgres-xl.orgwww.ultipa.com
Technical documentationneo4j.com/­docswww.postgres-xl.org/­documentationwww.ultipa.com/­document
DeveloperNeo4j, Inc.Ultipa
Initial release20072014 infosince 2012, originally named StormDB2019
Current release5.23, August 202410 R1, October 2018
License infoCommercial or Open SourceOpen Source infoGPL version3, commercial licenses availableOpen Source infoMozilla public licensecommercial
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 languageJava, ScalaC
Server operating systemsLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Linux
macOS
Data schemeschema-free and schema-optionalyes
Typing infopredefined data types such as float or dateyesyes
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 infoXML type, but no XML query functionality
Secondary indexesyes infopluggable indexing subsystem, by default Apache Luceneyes
SQL infoSupport of SQLnoyes infodistributed, parallel query execution
APIs and other access methodsBolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP API
Supported programming languages.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infoUser defined Procedures and Functionsuser defined functions
Triggersyes infovia event handleryes
Partitioning methods infoMethods for storing different data on different nodesyes using Neo4j Fabrichorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesCausal Clustering using Raft protocol infoavailable in in Enterprise Version only
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Immediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)fine grained access rights according to SQL-standard
More information provided by the system vendor
Neo4jPostgres-XLUltipa
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

Elevate Fraud Detection With Neo4j on AWS: Uncover Hidden Patterns and Enhance Accuracy
20 September 2024

The Ethics of Generative AI: Understanding the Principles and Risks
18 September 2024

GraphSummit Europe 2024: Actionable Insights From Industry Leaders and Innovators
18 September 2024

This Week in Neo4j: Knowledge Graph, Data Loading, Olympics, CSV and more
7 September 2024

Neo4j Expands Cloud Database Capabilities to Power Enterprise-Scale Graph Deployments
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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More resources
Neo4jPostgres-XLUltipa
DB-Engines blog posts

Applying Graph Analytics to Game of Thrones
12 June 2019, Amy Hodler & Mark Needham, Neo4j (guest author)

MySQL, PostgreSQL and Redis are the winners of the March ranking
2 March 2016, Paul Andlinger

The openCypher Project: Help Shape the SQL for Graphs
22 December 2015, Emil Eifrem (guest author)

show all

Recent citations in the news

Implementing GraphReader with Neo4j and LangGraph | by Tomaz Bratanic | Sep, 2024
6 September 2024, Towards Data Science

Neo4j lowers barriers to graph technology with gen AI copilot, 15x read capacity
4 September 2024, VentureBeat

Neo4j Transforms Its Cloud Database Portfolio to Accelerate Graph Adoption & GenAI for the Enterprise
4 September 2024, PR Newswire

Neo4j eyes GenAI workloads in APAC
18 July 2024, ComputerWeekly.com

Neo4j integrates dozens of graph analytics functions with data in Snowflake
4 June 2024, SiliconANGLE News

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