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DBMS > Heroic vs. Neo4j vs. Stardog vs. TimescaleDB

Vergleich der Systemeigenschaften Heroic vs. Neo4j vs. Stardog vs. TimescaleDB

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Redaktionelle Informationen bereitgestellt von DB-Engines
NameHeroic  Xaus Vergleich ausschliessenNeo4j  Xaus Vergleich ausschliessenStardog  Xaus Vergleich ausschliessenTimescaleDB  Xaus Vergleich ausschliessen
KurzbeschreibungTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchOpen Source Graph DatenbankEnterprise Knowledge Graph and graph DBMS with high availability and high performance reasoningA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primäres DatenbankmodellTime Series DBMSGraph DBMSGraph DBMS
RDF Store
Time Series DBMS
Sekundäre DatenbankmodelleRelational DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte0,36
Rang#230  Overall
#13  Time Series DBMS
Punkte48,39
Rang#22  Overall
#1  Graph DBMS
Punkte0,89
Rang#165  Overall
#12  Graph DBMS
#6  RDF Stores
Punkte1,73
Rang#128  Overall
#8  Time Series DBMS
Websitespotify.github.io/­heroic/­#!/­indexneo4j.comwww.stardog.comwww.timescale.com
Technische Dokumentationspotify.github.io/­heroic/­#!/­docs/­overviewneo4j.com/­docswww.stardog.com/­docsdocs.timescale.com
EntwicklerSpotifyNeo4j, Inc.Stardog-UnionTimescale
Erscheinungsjahr2014200720102017
Aktuelle Version3.5.4, April 20196.2.3, Juli 2019
Lizenz infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoGPL Version3, kommerzielle Lizenzen verfügbar bei Bedarfkommerziell info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentsOpen Source infoApache 2.0
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinneinnein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheJavaJava, ScalaJavaC
Server BetriebssystemeLinux infoKann auch Server-los als embedded Java Datenbank verwendet werden.
OS X
Solaris
Windows
Linux
macOS
Windows
Linux
OS X
Windows
Datenschemaschemafreischemafrei und schema-optionalschema-free and OWL/RDFS-schema supportja
Typisierung infovordefinierte Datentypen, z.B. float oder datejajajaja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinnein infoImportieren/Exportieren von XML Daten möglichja
Sekundärindizesja infovia Elasticsearchja infoAustauschbares Index Subsystem, per Default Apache Luceneja infosupports real-time indexing in full-text and geospatialja
SQL infoSupport of SQLneinneinSPARQL is used as query languageja infofull PostgreSQL SQL syntax
APIs und andere ZugriffskonzepteHQL (Heroic Query Language, a JSON-based language)
HTTP API
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
native C library
streaming API for large objects
ADO.NET
JDBC
ODBC
Unterstützte Programmiersprachen.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-seitige Scripts infoStored Proceduresneinja infoUser defined Procedures and Functionsuser defined functions and aggregates, HTTP Server extensions in Javabenutzerdefinierte Funktionen, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersneinja infomittels Event Handlerja infovia event handlersja
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenShardingkeinekeineyes, across time and space (hash partitioning) attributes
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenjaCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlyMaster-Master Replikation in HA-ClusterMaster-Slave Replikation info
MapReduce infoBietet ein API für Map/Reduce Operationenneinneinneinnein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemEventual Consistency
Immediate Consistency
Causal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Immediate Consistency in HA-ClusterImmediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinja infoBeziehungen in Graphenja infoBeziehungen in Graphenja
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenneinACIDACIDACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajaja
Durability infoDauerhafte Speicherung der Datenjajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenneinjanein
Berechtigungskonzept infoZugriffskontrolleUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)Zugriffsrechte für Benutzer und RollenBenutzer mit feingranularem Berechtigungskonzept entsprechend SQL-Standard
Weitere Informationen bereitgestellt vom Systemhersteller
HeroicNeo4jStardogTimescaleDB
Specific characteristicsNeo4j is a native graph database platform that is built to store, query, analyze...
» mehr
Stardog is a knowledge graph platform backed by a performant, scalable graph database....
» mehr
TimescaleDB is the first open-source time-series database that combines the reliability,...
» mehr
Competitive advantagesNeo4j database is the only transactional database that combines everything you need...
» mehr
Stardog is uniquely designed to aid in data integration for your complex data. Benefits...
» mehr
TimescaleDB is purpose-built to scale and handle time-series data workloads and is...
» mehr
Typical application scenariosReal-Time Recommendations Master Data Management Identity and Access Management Network...
» mehr
Stardog is frequently used for: Anti-money laundering & fraud monitoring Customer...
» mehr
IoT, Industrial Machine, and Sensor Data Various industrial IoT use cases across...
» mehr
Key customersOver 300 commercial customers and over 750 startups use Neo4j. Flagship customers...
» mehr
Bosch, Dow Jones, Elsevier, Ericsson, Morgan Stanley, NASA, NIH, Nokia, Salesforce,...
» mehr
Altair Engineering Inc., Bloomberg, Comcast, Cray, Cree, DNSFilter, Laika, LaunchDarkly,...
» mehr
Market metricsNeo4j boasts the world's largest graph database ecosystem with more than a 15 million...
» mehr
Stardog's technology is based on ground-breaking research by our founders cited 10,000+...
» mehr
1 million+ downloads, 6,500+ Github stars
» mehr
Licensing and pricing modelsGPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» mehr
A fully-featured 60-day Trial license is available for those testing Stardog; contact...
» mehr
Apache 2 and Timescale License (TSL); information on pricing for support and enterprise...
» mehr
Neuigkeiten

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

#GraphCast: Better Data, Better Decisions
16. August 2019

Visualizing This Week in Tech
15. August 2019

AI & Graph Technology: How Graphs Accelerate Machine Learning
12. August 2019

Blazing Fast Recommendations: 5-Minute Interview with Tim Hanssen
9. August 2019

Wir laden Vertreter der Systemhersteller ein uns zu kontaktieren, um die Systeminformationen zu aktualisieren und zu ergänzen,
sowie um Herstellerinformationen wie Schlüsselkunden, Vorteile gegenüber Konkurrenten und Marktmetriken anzuzeigen.

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Weitere Ressourcen
HeroicNeo4jStardogTimescaleDB
DB-Engines Blog Posts

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

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2. März 2016, Paul Andlinger

The openCypher Project: Help Shape the SQL for Graphs
22. Dezember 2015, Emil Eifrem (guest author)

alle anzeigen

Konferenzen und Veranstaltungen

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

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