DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Informationen zu relationalen und NoSQL DatenbankmanagementsystemenEin Service von solid IT

DBMS > ClickHouse vs. Hawkular Metrics vs. Neo4j vs. Oracle NoSQL vs. TimescaleDB

Vergleich der Systemeigenschaften ClickHouse vs. Hawkular Metrics vs. Neo4j vs. Oracle NoSQL vs. TimescaleDB

Redaktionelle Informationen bereitgestellt von DB-Engines
NameClickHouse  Xaus Vergleich ausschliessenHawkular Metrics  Xaus Vergleich ausschliessenNeo4j  Xaus Vergleich ausschliessenOracle NoSQL  Xaus Vergleich ausschliessenTimescaleDB  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.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Scalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsA multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodesA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primäres DatenbankmodellRelational DBMSTime Series DBMSGraph DBMSDocument Store
Key-Value Store
Relational DBMS
Time Series DBMS
Sekundäre DatenbankmodelleTime Series DBMSRelational DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte16,34
Rang#38  Overall
#23  Relational DBMS
Punkte0,00
Rang#379  Overall
#40  Time Series DBMS
Punkte44,46
Rang#23  Overall
#1  Graph DBMS
Punkte2,95
Rang#100  Overall
#17  Document Stores
#17  Key-Value Stores
#50  Relational DBMS
Punkte4,64
Rang#71  Overall
#4  Time Series DBMS
Websiteclickhouse.comwww.hawkular.orgneo4j.comwww.oracle.com/­database/­nosql/­technologies/­nosqlwww.timescale.com
Technische Dokumentationclickhouse.com/­docswww.hawkular.org/­hawkular-metrics/­docs/­user-guideneo4j.com/­docsdocs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.htmldocs.timescale.com
EntwicklerClickhouse Inc.Community supported by Red HatNeo4j, Inc.OracleTimescale
Erscheinungsjahr20162014200720112017
Aktuelle Versionv24.4.1.2088-stable, Mai 20245.20, Mai 202423.3, Dezember 20232.15.0, Mai 2024
Lizenz infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0Open Source infoGPL Version3, kommerzielle Lizenzen verfügbar bei BedarfOpen Source infoProprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)Open Source infoApache 2.0
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinneinneinnein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
  • 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.
  • Aiven for Clickhouse: Managed cloud data warehousing with high-speed analytics.
  • 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++JavaJava, ScalaJavaC
Server BetriebssystemeFreeBSD
Linux
macOS
Linux
OS X
Windows
Linux infoKann auch Server-los als embedded Java Datenbank verwendet werden.
OS X
Solaris
Windows
Linux
Solaris SPARC/x86
Linux
OS X
Windows
Datenschemajaschemafreischemafrei und schema-optionalSupport Fixed schema and Schema-less deployment with the ability to interoperate between them.ja
Typisierung infovordefinierte Datentypen, z.B. float oder datejajajaoptionalja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinneinja
Sekundärindizesyesneinja infoAustauschbares Index Subsystem, per Default Apache Lucenejaja
SQL infoSupport of SQLClose to ANSI SQL (SQL/JSON + extensions)neinneinSQL-like DML and DDL statementsja infofull PostgreSQL SQL syntax
APIs und andere ZugriffskonzeptegRPC
HTTP REST
JDBC
MySQL wire protocol
ODBC
PostgreSQL wire protocol
Proprietäres Protokoll
HTTP RESTBolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
RESTful HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
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
Go
Java
Python
Ruby
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
C
C#
Go
Java
JavaScript (Node.js)
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-seitige Scripts infoStored Proceduresjaneinja infoUser defined Procedures and Functionsneinbenutzerdefinierte Funktionen, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersneinja infovia Hawkular Alertingja infomittels Event Handlerneinja
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen Knotenkey based and customSharding infobasierend auf Cassandraja, mit Neo4j FabricShardingyes, across time and space (hash partitioning) attributes
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenAsynchronous and synchronous physical replication; geographically distributed replicas; support for object storages.frei wählbarer Replikationsfaktor infobasierend auf CassandraCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlyElectable source-replica replication per shard. Support distributed global deployment with Multi-region table featureSource-Replica Replikation info
MapReduce infoBietet ein API für Map/Reduce Operationenneinneinneinwith Hadoop integrationnein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyEventual Consistency infobasierend auf Cassandra
Immediate Consistency infobasierend auf Cassandra
Causal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Eventual Consistency
Immediate Consistency infoabhängig von Konfiguration
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinneinja infoBeziehungen in Graphenneinja
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenneinneinACIDkonfigurierbar infoACID innerhalb eines 'storage nodes' (=shard)ACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der Datenjajajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjaneinja infooff heap cachenein
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.neinUsers, 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
ClickHouseHawkular MetricsNeo4jOracle NoSQLTimescaleDB
Specific characteristicsNeo4j delivers graph technology that has been battle tested for performance and scale...
» mehr
Competitive advantagesNeo4j is the market leader, graph database category creator, and the most widely...
» mehr
Typical application scenariosReal-Time Recommendations Master Data Management Identity and Access Management Network...
» mehr
Key customersOver 800 commercial customers and over 4300 startups use Neo4j. Flagship customers...
» 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
Neuigkeiten

openCypher Will Pave the Road to GQL for Cypher Implementers
22. Mai 2024

7 Tips for Submitting Your NODES 2024 Talk
22. Mai 2024

How to Configure Neo4j Aura With AWS PrivateLink
21. Mai 2024

This Week in Neo4j: Podcast, GraphRAG, GraphQL, Chatbot and more
18. Mai 2024

Neo4j Joins the Connect with Confluent Partner Program
16. Mai 2024

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
DrittanbieterAiven for Clickhouse: Managed cloud data warehousing with high-speed analytics.
» mehr

DoubleCloud: Fully managed ClickHouse alongside best-in-class managed open-source services to build analytics at scale.
» mehr

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

Weitere Ressourcen
ClickHouseHawkular MetricsNeo4jOracle NoSQLTimescaleDB
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)

alle anzeigen

Erwähnungen in aktuellen Nachrichten

Why Clickhouse Should Be Your Next Database
6. Juli 2023, The New Stack

ClickHouse Cloud & Amazon S3 Express One Zone: Making a blazing fast analytical database even faster | Amazon ...
28. November 2023, AWS Blog

Ubuntu 24.04 + Linux 6.9 Intel & AMD Server Performance
23. Mai 2024, Phoronix

A 1000x Faster Database Solution: ClickHouse’s Aaron Katz
1. November 2023, GrowthCap

ClickHouse Announces Launch of ClickPipes
26. September 2023, Datanami

bereitgestellt von Google News

Waiting for Red Hat OpenShift 4.0? Too late, 4.1 has already arrived… • DEVCLASS
5. Juni 2019, DevClass

bereitgestellt von Google News

Neo Technology Announces Neo4j GraphDays Events in Seattle and Silicon Valley
29. Mai 2024, Yahoo Movies UK

Neo4j Announces Collaboration with Microsoft to Advance GenAI and Data Solutions USA - English - India - English
26. März 2024, PR Newswire

Neo4j CTO says new Graph Query Language standard will have 'massive ripple effects'
26. April 2024, SiliconANGLE News

Neo4j Is Planning IPO on Nasdaq, Largest Owner Greenbridge Says
15. Februar 2024, Bloomberg

Using Neo4j’s graph database for AI in Azure
4. April 2024, InfoWorld

bereitgestellt von Google News

OpenWorld 2013: Oracle NoSQL Database On the Rise?
13. Dezember 2023, Channel Futures

Blog Theme - Details
21. August 2023, blogs.oracle.com

We built a geo-distributed, serverless modern app using the Oracle NoSQL Database Cloud Service
18. November 2021, blogs.oracle.com

Oracle Defends Relational DBs Against NoSQL Competitors
25. November 2015, eWeek

Oracle Adds New AI-Enabling Features To MySQL HeatWave
23. März 2023, Forbes

bereitgestellt von Google News

TimescaleDB Is a Vector Database Now, Too
25. September 2023, Datanami

Timescale Acquires PopSQL to Bring a Modern, Collaborative SQL GUI to PostgreSQL Developers
4. April 2024, PR Newswire

Power IoT and time-series workloads with TimescaleDB for Azure Database for PostgreSQL
18. März 2019, Microsoft

Timescale Valuation Rockets to Over $1B with $110M Round, Marking the Explosive Rise of Time-Series Data
22. Februar 2022, Business Wire

Timescale announces $15M investment and new enterprise version of TimescaleDB
29. Januar 2019, TechCrunch

bereitgestellt von Google News



Teilen sie diese Seite mit ihrem Netzwerk

Featured Products

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

SingleStore logo

The database to transact, analyze and contextualize your data in real time.
Try it today.

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Präsentieren Sie hier Ihr Produkt