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DBMS > Neo4j vs. Stardog vs. Vertica

System Properties Comparison Neo4j vs. Stardog vs. Vertica

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Editorial information provided by DB-Engines
NameNeo4j  Xexclude from comparisonStardog  Xexclude from comparisonVertica infoVertica Analytics Platform  Xexclude from comparison
DescriptionOpen source graph databaseEnterprise Knowledge Graph and graph DBMS with high availability and high performance reasoningColumnar relational DBMS designed to handle modern analytic workloads, enabling fast query performance
Primary database modelGraph DBMSGraph DBMS
RDF store
Relational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score48.39
Rank#22  Overall
#1  Graph DBMS
Score0.89
Rank#165  Overall
#12  Graph DBMS
#6  RDF stores
Score23.80
Rank#29  Overall
#17  Relational DBMS
Websiteneo4j.comwww.stardog.comwww.vertica.com
Technical documentationneo4j.com/­docswww.stardog.com/­docswww.vertica.com/­documentation/­vertica
DeveloperNeo4j, Inc.Stardog-UnionVertica / Micro Focus infoprior to that Hewlett Packard
Initial release200720102005
Current release3.5.4, April 20196.2.3, July 2019Vertica Analytics Platform 9.2.x, March 2019
License infoCommercial or Open SourceOpen Source infoGPL version3, commercial licenses availablecommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentscommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenonono infoavailable on Amazon AWS and Microsoft Azure
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ScalaJava
Server operating systemsLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Linux
macOS
Windows
Linux
Data schemeschema-free and schema-optionalschema-free and OWL/RDFS-schema supportyes infoUnstructured data can be stored in specific Flex-Tables
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.no infoImport/export of XML data possibleyes
Secondary indexesyes infopluggable indexing subsystem, by default Apache Luceneyes infosupports real-time indexing in full-text and geospatialno infoThe concept of 'projections' can be used instead of indexes.
SQL infoSupport of SQLnoSPARQL is used as query languageyes infonearly full SQL99 without support for indexes and triggers
APIs and other access methodsBolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Kafka
Proprietary protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languages.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
C++
Java
Perl
Python
R
Server-side scripts infoStored proceduresyes infoUser defined Procedures and Functionsuser defined functions and aggregates, HTTP Server extensions in Javayes
Triggersyes infovia event handleryes infovia event handlersno
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infoSegmentation, Projection Segmentation, Hash Segmentation
Replication methods infoMethods for redundantly storing data on multiple nodesCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlyMaster-master replication in HA-ClusterMaster-master replication infoCluster level and Object level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infowith Vertica Connector for Hadoop
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 in HA-ClusterImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyes inforelationships in graphsyes
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.yes
User concepts infoAccess controlUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)Access rights for users and rolesfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
Neo4jStardogVertica infoVertica Analytics Platform
Specific characteristicsNeo4j is a native graph database platform that is built to store, query, analyze...
» more
Stardog is a knowledge graph platform backed by a performant, scalable graph database....
» more
Columnar storage, MPP, Hybrid storage model, Aggressive data compression, High availability,...
» more
Competitive advantagesNeo4j database is the only transactional database that combines everything you need...
» more
Stardog is uniquely designed to aid in data integration for your complex data. Benefits...
» more
Performance at exabyte scale, Deploy anywhere, Open source innovation, Analysis in...
» more
Typical application scenariosReal-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Stardog is frequently used for: Anti-money laundering & fraud monitoring Customer...
» more
Communication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» more
Key customersOver 300 commercial customers and over 750 startups use Neo4j. Flagship customers...
» more
Bosch, Dow Jones, Elsevier, Ericsson, Morgan Stanley, NASA, NIH, Nokia, Salesforce,...
» more
Abiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Market metricsNeo4j boasts the world's largest graph database ecosystem with more than a 15 million...
» more
Stardog's technology is based on ground-breaking research by our founders cited 10,000+...
» more
Licensing and pricing modelsGPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
A fully-featured 60-day Trial license is available for those testing Stardog; contact...
» more
Cost-based models and subscription-based models are available
» more
News

This Week in Neo4j – New Data Science Online Courses, Finding Fraud, Using Neo4j With Laravel, New NSMNTX Release, Graph Algorithms From OSCON, and More!
24 August 2019

Context for AI Ops: 5-Minute Interview with Atul Gupta
23 August 2019

Announcing Data Science with Neo4j And Applied Graph Algorithms Online Training Courses
22 August 2019

AI & Graph Technology: Connections Improve Accuracy
19 August 2019

This Week in Neo4j – 4.0 Milestone Testing, Highschool Popularity Algorithms, Minecraft Crafting Tree, Cancer Graph and Social Network Pagination
17 August 2019

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Neo4jStardogVertica infoVertica Analytics Platform
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

Conferences and events

GraphConnect 2020
New York, USA, 20-22 April 2020

Recent citations in the news

Neo4j charts tighter grip on graph data-at-rest
29 July 2019, ComputerWeekly.com

NEORIS Forges Global Partnership with Neo4j to Augment Human Intelligence and Data Management Capabilities at Scale
1 August 2019, PRNewswire

New Graph Database Performance Benchmark Confirms Graph Databases are Ready for Solving Real-World Business Intelligence, Data Challenges
14 August 2019, Yahoo Finance

Graph Databases Software Market Is Booming Worldwide | Top key Players Like Neo4j, ArangoDB, Amazon Neptune, OrientDB, Cassandra, FlockDB, Cayley, Titan, IBM Graph
23 August 2019, Indian Columnist

Neo4j raises $80 million for next-generation graph databases
1 November 2018, VentureBeat

provided by Google News

The Current State of Database Technology (VIDEO)
20 August 2019, Database Trends and Applications

F&S Whitepaper: How Vertica Helping FSIs Take on Big Data - and Win
29 July 2019, Database Trends and Applications

You Can't Do Machine Learning Inside a Database. Can You?
1 April 2019, Datanami

Microsoft and Informatica make coordinated data warehouse migration move
6 August 2019, ZDNet

GoodData Expands Its Open Cloud Strategy with Vertica Partnership
12 March 2019, GlobeNewswire

provided by Google News

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