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DBMS > Neo4j vs. Ultipa vs. Vertica

System Properties Comparison Neo4j vs. Ultipa vs. Vertica

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Editorial information provided by DB-Engines
NameNeo4j  Xexclude from comparisonUltipa  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparison
DescriptionScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsHigh performance Graph DBMS supporting HTAP high availability cluster deploymentCloud or off-cloud analytical database and query engine for structured and semi-structured streaming and batch data. Machine learning platform with built-in algorithms, data preparation capabilities, and model evaluation and management via SQL or Python.
Primary database modelGraph DBMSGraph DBMSRelational DBMS infoColumn oriented
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score42.70
Rank#21  Overall
#1  Graph DBMS
Score0.11
Rank#335  Overall
#31  Graph DBMS
Score9.38
Rank#42  Overall
#26  Relational DBMS
Websiteneo4j.comwww.ultipa.comwww.vertica.com
Technical documentationneo4j.com/­docswww.ultipa.com/­documentvertica.com/­documentation
DeveloperNeo4j, Inc.UltipaOpenText infopreviously Micro Focus and Hewlett Packard
Initial release200720192005
Current release5.23, August 202412.0.3, January 2023
License infoCommercial or Open SourceOpen Source infoGPL version3, commercial licenses availablecommercialcommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenonono infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containers
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
Data schemeschema-free and schema-optionalYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.
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.no
Secondary indexesyes infopluggable indexing subsystem, by default Apache LuceneNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLnoFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs and other access methodsBolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
RESTful HTTP APIADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Supported programming languages.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
C++
Go
Java
JavaScript (Node.js)
Python
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-side scripts infoStored proceduresyes infoUser defined Procedures and Functionsyes, PostgreSQL PL/pgSQL, with minor differences
Triggersyes infovia event handleryes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodesyes using Neo4j Fabrichorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlyMulti-source replication infoOne, or more copies of data replicated across nodes, or object-store used for repository.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infoBi-directional Spark integration
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
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; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
Neo4jUltipaVertica infoOpenText™ Vertica™
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
Neo4jUltipaVertica infoOpenText™ Vertica™
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)

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Recent citations in the news

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

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

Neo4j CTO: GQL is here: the evolution from Cypher & openCypher
1 November 2024, ComputerWeekly.com

Neo4j charts upward course for GraphRAG in graph databases
4 September 2024, Techzine Europe

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

provided by Google News

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1 October 2024, ABN Newswire

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6 November 2024, EIN News

provided by Google News

Introducing the Future of Data Analysis: A Revolutionary Tool for Vertica Users
25 October 2024, blogs.opentext.com

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20 June 2024, blogs.opentext.com

Querying a Vertica data source in Amazon Athena using the Athena Federated Query SDK
11 February 2021, AWS Blog

Postgres pioneer Michael Stonebraker promises to upend the database once more
26 December 2023, The Register

VAST links arms with Vertica for fast analytics
19 April 2022, Blocks & Files

provided by Google News



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