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DBMS > ClickHouse vs. Neo4j vs. RDF4J vs. RocksDB vs. Vertica

Vergleich der Systemeigenschaften ClickHouse vs. Neo4j vs. RDF4J vs. RocksDB vs. Vertica

Redaktionelle Informationen bereitgestellt von DB-Engines
NameClickHouse  Xaus Vergleich ausschliessenNeo4j  Xaus Vergleich ausschliessenRDF4J infoformerly known as Sesame  Xaus Vergleich ausschliessenRocksDB  Xaus Vergleich ausschliessenVertica infoOpenText™ Vertica™  Xaus Vergleich ausschliessen
KurzbeschreibungA high-performance, column-oriented SQL DBMS for online analytical processing (OLAP) that uses all available system resources to their full potential to process each analytical query as fast as possible. It is available as both an open-source software and a cloud offering.Scalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsRDF4J ist ein Java Framework zur Verarbeitung von RDF Daten, sowohl Hauptspeicher- als auch Disk-basiert.Embeddable persistent key-value store optimized for fast storage (flash and RAM)Cloud or off-cloud analytical database and query engine for structured and semi-structured streaming and batch data. Machine learning platform with built-in algorithms, data preparation capabilities, and model evaluation and management via SQL or Python.
Primäres DatenbankmodellRelational DBMSGraph DBMSRDF StoreKey-Value StoreRelational DBMS infoColumn oriented
Sekundäre DatenbankmodelleTime Series DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte16,34
Rang#38  Overall
#23  Relational DBMS
Punkte44,46
Rang#23  Overall
#1  Graph DBMS
Punkte0,69
Rang#230  Overall
#9  RDF Stores
Punkte3,65
Rang#85  Overall
#11  Key-Value Stores
Punkte10,68
Rang#43  Overall
#27  Relational DBMS
Websiteclickhouse.comneo4j.comrdf4j.orgrocksdb.orgwww.vertica.com
Technische Dokumentationclickhouse.com/­docsneo4j.com/­docsrdf4j.org/­documentationgithub.com/­facebook/­rocksdb/­wikivertica.com/­documentation
EntwicklerClickhouse Inc.Neo4j, Inc.Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.Facebook, Inc.OpenText infopreviously Micro Focus and Hewlett Packard
Erscheinungsjahr20162007200420132005
Aktuelle Versionv24.4.1.2088-stable, Mai 20245.19, April 20248.11.4, April 202412.0.3, Jänner 2023
Lizenz infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoGPL Version3, kommerzielle Lizenzen verfügbar bei BedarfOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoBSDkommerziell infoLimitierte Community Edition gratis
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinneinneinnein infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containers
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
  • Aiven for Clickhouse: Managed cloud data warehousing with high-speed analytics.
  • ClickHouse Cloud: Get the performance you love from open source ClickHouse in a serverless offering that takes care of the details so you can spend more time getting insight out of the fastest database on earth.
  • DoubleCloud: Fully managed ClickHouse alongside best-in-class managed open-source services to build analytics at scale.
Neo4j Aura: Neo4j’s fully managed cloud service: The zero-admin, always-on graph database for cloud developers.
ImplementierungsspracheC++Java, ScalaJavaC++C++
Server BetriebssystemeFreeBSD
Linux
macOS
Linux infoKann auch Server-los als embedded Java Datenbank verwendet werden.
OS X
Solaris
Windows
Linux
OS X
Unix
Windows
LinuxLinux
Datenschemajaschemafrei und schema-optionalja infoRDF SchemasschemafreiYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.
Typisierung infovordefinierte Datentypen, z.B. float oder datejajajaneinyes
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinnein
Sekundärindizesyesja infoAustauschbares Index Subsystem, per Default Apache LucenejaneinNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLClose to ANSI SQL (SQL/JSON + extensions)neinneinneinFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs und andere ZugriffskonzeptegRPC
HTTP REST
JDBC
MySQL wire protocol
ODBC
PostgreSQL wire protocol
Proprietäres Protokoll
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
C++ API
Java API
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Unterstützte ProgrammiersprachenC# info3rd party library
C++
Elixir info3rd party library
Go info3rd party library
Java info3rd party library
JavaScript (Node.js) info3rd party library
Kotlin info3rd party library
Nim info3rd party library
Perl info3rd party library
PHP info3rd party library
Python info3rd party library
R info3rd party library
Ruby info3rd party library
Rust
Scala info3rd party library
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Java
PHP
Python
C
C++
Go
Java
Perl
Python
Ruby
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-seitige Scripts infoStored Proceduresjaja infoUser defined Procedures and Functionsjaneinyes, PostgreSQL PL/pgSQL, with minor differences
Triggersneinja infomittels Event Handlerjayes, called Custom Alerts
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen Knotenkey based and customja, mit Neo4j Fabrickeinehorizontal partitioninghorizontal partitioning, hierarchical partitioning
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenAsynchronous and synchronous physical replication; geographically distributed replicas; support for object storages.Causal Clustering using Raft protocol infoavailable in in Enterprise Version onlykeinejaMulti-Source Replikation infoOne, or more copies of data replicated across nodes, or object-store used for repository.
MapReduce infoBietet ein API für Map/Reduce Operationenneinneinneinneinno infoBi-directional Spark integration
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinja infoBeziehungen in Graphenneinja
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenneinACIDACID infoIsolation abhängig vom verwendeten APIjaACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der Datenjajaja infoIn-memory Storage wird ebenfalls unterstütztjaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjajanein
Berechtigungskonzept infoZugriffskontrolleAccess rights for users and roles. Column and row based policies. Quotas and resource limits. Pluggable authentication with LDAP and Kerberos. Password based, X.509 certificate, and SSH key authentication.Users, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)neinneinfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
Weitere Informationen bereitgestellt vom Systemhersteller
ClickHouseNeo4jRDF4J infoformerly known as SesameRocksDBVertica infoOpenText™ Vertica™
Specific characteristicsNeo4j delivers graph technology that has been battle tested for performance and scale...
» mehr
Deploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
» mehr
Competitive advantagesNeo4j is the market leader, graph database category creator, and the most widely...
» mehr
Fast, scalable, and capable of high concurrency. Separation of compute/storage leverages...
» mehr
Typical application scenariosReal-Time Recommendations Master Data Management Identity and Access Management Network...
» mehr
Communication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» mehr
Key customersOver 800 commercial customers and over 4300 startups use Neo4j. Flagship customers...
» mehr
Abiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» mehr
Market metricsNeo4j boasts the world's largest graph database ecosystem with more than 140 million...
» mehr
Licensing and pricing modelsGPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» mehr
Cost-based models and subscription-based models are both available. One license is...
» mehr
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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.

Zugehörige Produkte und Dienstleistungen
DrittanbieterDoubleCloud: Fully managed ClickHouse alongside best-in-class managed open-source services to build analytics at scale.
» mehr

Aiven for Clickhouse: Managed cloud data warehousing with high-speed analytics.
» mehr
Speedb: A high performance RocksDB-compliant key-value store optimized for write-intensive workloads.
» mehr

Wir laden Vertreter von Anbietern von zugehörigen Produkten ein uns zu kontaktieren, um hier Informationen über ihre Angebote zu präsentieren.

Weitere Ressourcen
ClickHouseNeo4jRDF4J infoformerly known as SesameRocksDBVertica infoOpenText™ Vertica™
DB-Engines Blog Posts

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

MySQL, PostgreSQL and Redis are the winners of the March ranking
2. März 2016, Paul Andlinger

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

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