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DBMS > AllegroGraph vs. Neo4j vs. Prometheus

System Properties Comparison AllegroGraph vs. Neo4j vs. Prometheus

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonNeo4j  Xexclude from comparisonPrometheus  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSOpen source graph databaseOpen-source TimeSeries DBMS and monitoring system
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Graph DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.95
Rank#170  Overall
#26  Document stores
#14  Graph DBMS
#7  RDF stores
Score50.18
Rank#21  Overall
#1  Graph DBMS
Score5.36
Rank#69  Overall
#3  Time Series DBMS
Websiteallegrograph.comneo4j.comprometheus.io
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlneo4j.com/­docsprometheus.io/­docs
DeveloperFranz Inc.Neo4j, Inc.
Initial release200420072015
Current release7.0.0, April 20204.1.1, July 2020
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoGPL version3, commercial licenses availableOpen Source infoApache 2.0
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 languageJava, ScalaGo
Server operating systemsLinux
OS X
Windows
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Linux
Windows
Data schemeyes infoRDF schemasschema-free and schema-optionalyes
Typing infopredefined data types such as float or dateyesyesNumeric data only
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 infobulk load of XML files possibleno infoImport of XML data possible
Secondary indexesyesyes infopluggable indexing subsystem, by default Apache Luceneno
SQL infoSupport of SQLSPARQL is used as query languagenono
APIs and other access methodsRESTful HTTP API
SPARQL
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
RESTful HTTP/JSON API
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispyes infoUser defined Procedures and Functionsno
Triggersyesyes infovia event handlerno
Partitioning methods infoMethods for storing different data on different nodeswith FederationnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Causal Clustering using Raft protocol infoavailable in in Enterprise Version onlyyes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
none
Foreign keys infoReferential integritynoyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
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.nono
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)no
More information provided by the system vendor
AllegroGraphNeo4jPrometheus
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
Neo4j is a native graph database platform that is built to store, query, analyze...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
Neo4j database is the only transactional database that combines everything you need...
» more
Typical application scenariosReal-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Key customersOver 300 commercial customers and over 750 startups use Neo4j. Flagship customers...
» more
Market metricsNeo4j boasts the world's largest graph database ecosystem with more than a 15 million...
» more
Licensing and pricing modelsGPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
News

Knowledge graphs enhance customer experience through speed and accuracy
10 July 2020

AllegroGraph Named to 100 Companies That Matter Most in Data
22 June 2020

Bloor Research Covers AllegroGraph with FedShard
5 June 2020

AllegroGraph Tutorial – Distributed Repository Using Shards and Federation Setup
25 May 2020

Advanced Knowledge Graph Visualization with New Gruff v8
12 May 2020

Monitoring Neo4j Servers and Clusters
12 August 2020

Combating Money Laundering: Graph Tech Fights Serious Crimes
10 August 2020

This Week in Neo4j – Covid Graph GraphQL API, Spring Data Neo4j 6 Experiments, CompoundDB4j
8 August 2020

Easy Explainability: 5-Minute Interview with Calin Constantinov
7 August 2020

7 Quick Tips to Get More from the GDS Library [Tip Sheet]
6 August 2020

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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
AllegroGraphNeo4jPrometheus
DB-Engines blog posts

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

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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

Ubiquitous AI Demands A New Type Of Database Sharding
1 May 2020, Forbes

Data Summit Connect 2020 Drills Down on Better Data Processes With Knowledge Graphs
10 June 2020, dbta.com

AllegroGraph v7 Powers First Distributed Semantic Knowledge Graph Solution with Federated-Sharding
26 May 2020, Business Wire

Three Necessities For Maximizing Your Digital Twins Approach
4 November 2019, Forbes

Answering the Question Why: Explainable AI
18 March 2020, AiThority

provided by Google News

Security BSides Athens 2020 – Talk 05 – Tasos Chatziefstratiou’s ‘Visualize Windows Events Using Python3 & Neo4j’
6 August 2020, Security Boulevard

Graph Analytics Market Growing at a CAGR 34.0% | Key Player Microsoft, IBM, AWS, Oracle, Neo4j
15 July 2020, Virtual-Strategy Magazine

Global Graph Database Market 2020 – Impact of COVID-19, Future Growth Analysis and Challenges | triAGENS GmbH(Arango DB), Neo4j, Inc, OrientDB Ltd, Cayley
9 August 2020, Galus Australis

Neo4j 4.0 adds enterprise Fabric to its graph database
4 February 2020, ZDNet

Neo4j Extends Graph Databases to the Relational World
1 April 2020, ITPro Today

provided by Google News

Timescale Brings Powerful Time-Series Data Analysis to Developers Worldwide, Now Available in 75+ Cloud Regions
12 August 2020, Business Wire

Monitor and Optimize Analytic Workloads on Amazon EMR with Prometheus and Grafana
10 August 2020, idk.dev

Time Series Databases Software Market By Top Key Players: InfluxData, Trendalyze, Amazon Timestream, DataStax, Prometheus, QuasarDB, Warp 10, InfluxDB
9 August 2020, Chelanpress

Prometheus 2.20 gets better at service discovery, hits WAL by default
28 July 2020, DevClass

How New Relic Went Beyond APM To Become A Modern Observability Platform
7 August 2020, Forbes

provided by Google News

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