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DBMS > Brytlyt vs. Neo4j vs. Stardog

System Properties Comparison Brytlyt vs. Neo4j vs. Stardog

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Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonNeo4j  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLOpen source graph databaseEnterprise Knowledge Graph and graph DBMS with high availability and high performance reasoning
Primary database modelRelational DBMSGraph DBMSGraph DBMS
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.10
Rank#284  Overall
#129  Relational DBMS
Score48.98
Rank#22  Overall
#1  Graph DBMS
Score0.73
Rank#175  Overall
#13  Graph DBMS
#7  RDF stores
Websitewww.brytlyt.comneo4j.comwww.stardog.com
Technical documentationneo4j.com/­docswww.stardog.com/­docs
DeveloperBrytlytNeo4j, Inc.Stardog-Union
Initial release201620072010
Current release0.9, October 20163.5.4, April 20196.2.3, July 2019
License infoCommercial or Open SourcecommercialOpen Source infoGPL version3, commercial licenses availablecommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
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.
Implementation languageC, C++ and CUDAJava, ScalaJava
Server operating systemsLinux
OS X
Windows
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Linux
macOS
Windows
Data schemeyesschema-free and schema-optionalschema-free and OWL/RDFS-schema support
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.yes infospecific XML-type available, but no XML query functionality.no infoImport/export of XML data possible
Secondary indexesyesyes infopluggable indexing subsystem, by default Apache Luceneyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLyesnoSPARQL is used as query language
APIs and other access methodsnative C library
streaming API for large objects
ADO.NET
JDBC
ODBC
Bolt 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
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLyes infoUser defined Procedures and Functionsuser defined functions and aggregates, HTTP Server extensions in Java
Triggersyesyes infovia event handleryes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlyMaster-master replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
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
Immediate Consistency in HA-Cluster
Foreign keys infoReferential integrityyesyes infoRelationships in graphsyes inforelationships in graphs
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 controlfine grained access rights according to SQL-standardUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)Access rights for users and roles
More information provided by the system vendor
BrytlytNeo4jStardog
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
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
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
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
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
News

This Week in Neo4j – Near Natural Language Search in Bloom, Neo4j on Pivotal Container Service, Neo4j – Kafka – MySQL
20 July 2019

#GraphCast: How to Deploy Your Graph Database on GKE
19 July 2019

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16 July 2019

Toward AI Standards: Context Makes AI More Robust
15 July 2019

This Week in Neo4j – GraphConnect 2020 Registration Now Open, Data Discovery at Lyft, Finding Motifs in Cypher for Fun and Profit
13 July 2019

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

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More resources
BrytlytNeo4jStardog
DB-Engines blog posts

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Conferences and events

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

Recent citations in the news

Brytlyt Release Version 3.0 of the World's Fastest GPU Database
4 March 2019, PRNewswire

Brytlyt Makes Ground-breaking Progress on the TPC-H Benchmark
17 April 2019, PRNewswire

+20% CAGR Achieved by GPU Database Market over Period 2019- 2026 with Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph, BlazingDB
25 June 2019, thewirenewsnow.com

Brytlyt Partners with MariaDB to Integrate its GPU Database Technology for Real-time Analytics
26 February 2018, PR Newswire

Brytlyt GPU Database Smashes Benchmark Record Again, This Time Using IBM Minsky Hardware
11 December 2017, PR Newswire

provided by Google News

Neo4j: How a lack of context awareness is hampering AI development | Technology
17 July 2019, Business Chief

Graph Database Market 2019 Value Chain Analysis – triAGENS GmbH(Arango DB), Neo4j, Inc, OrientDB Ltd, Cayley
17 July 2019, Micro Finance Ledger

Graph Databases Go Mainstream
18 July 2019, Forbes

Graph Database Market Trending Research 2019 – triAGENS GmbH(Arango DB), Neo4j, Inc, OrientDB Ltd, Cayley
10 July 2019, Micro Finance Recorder

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

provided by Google News

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