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DBMS > Neo4j vs. Teradata vs. Virtuoso

System Properties Comparison Neo4j vs. Teradata vs. Virtuoso

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Editorial information provided by DB-Engines
NameNeo4j  Xexclude from comparisonTeradata  Xexclude from comparisonVirtuoso  Xexclude from comparison
DescriptionScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsA hybrid cloud data analytics software platform (Teradata Vantage)Virtuoso is a multi-model hybrid-RDBMS that supports management of data represented as relational tables and/or property graphs
Primary database modelGraph DBMSRelational DBMSDocument store
Graph DBMS
Native XML DBMS
Relational DBMS
RDF store
Search engine
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score57.87
Rank#19  Overall
#1  Graph DBMS
Score69.83
Rank#17  Overall
#11  Relational DBMS
Score4.69
Rank#74  Overall
#10  Document stores
#3  Graph DBMS
#2  Native XML DBMS
#41  Relational DBMS
#2  RDF stores
#8  Search engines
Websiteneo4j.comwww.teradata.comvirtuoso.openlinksw.com
Technical documentationneo4j.com/­docsdocs.teradata.comdocs.openlinksw.com/­virtuoso
DeveloperNeo4j, Inc.TeradataOpenLink Software
Initial release200719841998
Current release4.3.4, September 2021Teradata Vantage 1.0 MU2, January 201908.03.3316, March 2020
License infoCommercial or Open SourceOpen Source infoGPL version3, commercial licenses availablecommercialOpen Source infoGPLv2, extended 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 languageJava, ScalaC
Server operating systemsLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
hosted
Linux
AIX
FreeBSD
HP-UX
Linux
OS X
Solaris
Windows
Data schemeschema-free and schema-optionalyesyes infoSQL - Standard relational schema
RDF - Quad (S, P, O, G) or Triple (S, P, O)
XML - DTD, XML Schema
DAV - freeform filesystem objects, plus User Defined Types a/k/a Dynamic Extension Type
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.yesyes
Secondary indexesyes infopluggable indexing subsystem, by default Apache Luceneyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash indexyes
SQL infoSupport of SQLnoyes infoSQL 2016 + extensionsyes infoSQL-92, SQL-200x, SQL-3, SQLX
APIs and other access methodsBolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
ADO.NET
GeoSPARQL
HTTP API
JDBC
Jena RDF API
ODBC
OLE DB
RDF4J API
RESTful HTTP API
Sesame REST HTTP Protocol
SOAP webservices
SPARQL 1.1
WebDAV
XPath
XQuery
XSLT
Supported programming languages.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
.Net
C
C#
C++
Java
JavaScript
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresyes infoUser defined Procedures and Functionsyes infoUDFs, stored procedures, table functions in parallelyes infoVirtuoso PL
Triggersyes infovia event handleryesyes
Partitioning methods infoMethods for storing different data on different nodesyes using Neo4j FabricSharding infoHashingyes
Replication methods infoMethods for redundantly storing data on multiple nodesCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlyMulti-source replication
Source-replica replication
Chain, star, and bi-directional replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyesyes
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.yesyes
User concepts infoAccess controlUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)fine grained access rights according to SQL-standardFine-grained Attribute-Based Access Control (ABAC) in addition to typical coarse-grained Role-Based Access Control (RBAC) according to SQL-standard. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)
More information provided by the system vendor
Neo4jTeradataVirtuoso
Specific characteristicsNeo4j delivers graph technology that has been battle tested for performance and scale...
» more
Virtuoso is a modern multi-model RDBMS for managing data represented as tabular relations...
» more
Competitive advantagesNeo4j is the market leader, graph database category creator, and the most widely...
» more
Performance & Scale — as exemplified by DBpedia and the LOD Cloud it spawned, i.e.,...
» more
Typical application scenariosReal-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Used for — Analytics/BI Conceptual Data Virtualization Enterprise Knowledge Graphs...
» more
Key customersOver 800 commercial customers and over 4300 startups use Neo4j. Flagship customers...
» more
Broad use across enterprises and governments including — European Union (EU) US Government...
» more
Market metricsNeo4j boasts the world's largest graph database ecosystem with more than 140 million...
» more
Largest installed-base ​of Multi-Model RDBMS for AI-friendly Knowledge Graphs Platform...
» more
Licensing and pricing modelsGPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
Available in both Commercial Enterprise and Open Source (GPL v2) Editions Feature...
» more
News

Jim Webber with Asurion’s Julie Fisher on Her Singular Path to Graph
14 October 2021

This Week in Neo4j – GDS 1.7 Features, Knowledge Graph with Spark and Neo4j, Digital Nomad Travel Logs, Link Predictions, Load Data Into AuraDB
9 October 2021

Combining Knowledge Graph and Graph Algorithms to Find Hidden Skills at NASA
8 October 2021

It’s Officially Fall: Let’s Catch Up on What You Missed This Summer
7 October 2021

This Week in Neo4j – Graphlytic Styles, Graphileon API Endpoints, O’Reilly Knowledge Graphs Course, Twitter Hashtags, Kafka with Neo4j AuraDB, Collatz Conjecture, Reactive Neo4j Spring Data
2 October 2021

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesGraphable delivers expert services for Neo4j and other Graph DBMS.
» more
SQLFlow: Provides a visual representation of the overall flow of data. Automated SQL data lineage analysis across Databases, ETL, Business Intelligence, Cloud and Hadoop environments by parsing SQL Script and stored procedure.
» more

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

More resources
Neo4jTeradataVirtuoso
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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Teradata is the most popular data warehouse DBMS
2 April 2013, Paul Andlinger

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Recent citations in the news

Neo4J Releases Graph Data Science Library, Look For New Updates
24 September 2021, Analytics India Magazine

Neo4j raises Neo$325M as graph-based data analysis takes hold in enterprise
17 June 2021, TechCrunch

ArangoDB advances graph database fortunes with new funding
6 October 2021, TechTarget

Graph-enabled customer intelligence in a post-cookie world
4 October 2021, Retail Times

Eight Roads launches its fourth fund: $450M aimed at European/Israeli scaleups
5 October 2021, TechCrunch

provided by Google News

Teradata Announces 2021 Third Quarter Earnings Release Date | National Business | joplinglobe.com
14 October 2021, Joplin Globe

Tesco Selects Teradata Vantage to Drive Enterprise-Wide Analytics at Scale
21 September 2021, Joplin Globe

Is It Time To Consider Buying Teradata Corporation (NYSE:TDC)?
4 October 2021, Simply Wall St

Teradata (TDC) gains 1.46% in Light Trading on October 14
15 October 2021, Equities.com

Are Strong Financial Prospects The Force That Is Driving The Momentum In Teradata Corporation's NYSE:TDC) Stock?
30 September 2021, Nasdaq

provided by Google News

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