DB-EnginesGraphDB bannerEnglish
Deutsch
Informationen zu relationalen und NoSQL DatenbankmanagementsystemenEin Service von solid IT

DBMS > CrateDB

CrateDB Systemeigenschaften

Bitte wählen Sie ein weiteres System aus, um es mit CrateDB zu vergleichen.

Unsere Besucher vergleichen CrateDB oft mit InfluxDB, MongoDB und Cassandra.

Redaktionelle Informationen bereitgestellt von DB-Engines
NameCrateDB
KurzbeschreibungVerteilter Data Store basierend auf Lucene
Primäres DatenbankmodellRelational DBMS
Suchmaschine
Sekundäre DatenbankmodelleDocument Store
Key-Value Store
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte0,50
Rang#190  Overall
#94  Relational DBMS
#11  Suchmaschinen
Websitecrate.io
Technische Dokumentationcrate.io/­docs
EntwicklerCrate
Erscheinungsjahr2013
Lizenz infoCommercial or Open SourceOpen Source
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarnein
ImplementierungsspracheJava
Server BetriebssystemeAlle Betriebssysteme mit einer Java 7 VM
DatenschemaFlexible Schema (defined schema, partial schema, schema free)
Typisierung infovordefinierte Datentypen, z.B. float oder dateja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTnein
Sekundärindizesja
SQL infoSupport of SQLyes, but no triggers and constraints
APIs und andere ZugriffskonzepteMQTT (Message Queue Telemetry Transport)
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
ADO.NET infocommunity maintained client
JDBC
Unterstützte ProgrammiersprachenErlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
Ruby infocommunity maintained client
Scala infocommunity maintained client
Server-seitige Scripts infoStored Proceduresbenutzerdefinierte Funktionen
Triggersnein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenSharding
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenfrei wählbarer Replikationsfaktor
MapReduce infoBietet ein API für Map/Reduce Operationennein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemEventual Consistency
Read Your Own Writes Consistency infofor primary key lookups
Fremdschlüssel inforeferenzielle Integritätnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren Datenmanipulationennein infounique row identifiers can be used for implementing an optimistic concurrency control strategy
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenja
Durability infoDauerhafte Speicherung der Datenja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltennein
Berechtigungskonzept infoZugriffskontrolleRechteverwaltung mit Benutzeraccounts
Weitere Informationen bereitgestellt vom Systemhersteller
CrateDB
Specific characteristics

CrateDB is an open source distributed SQL database that spreads data and processing across an elastic cluster of identical, shared-nothing nodes.

  • Data is processed by append-only Lucene-based shards, with in-memory columnar field caches for fast query performance. 
  • CrateDB is a strong fit for query-intensive operational analytics workloads. It is not generally used for update-intensive OLTP workloads. 
  • The Lucene DNA in CrateDB enables dynamic schemas, text search, and rich JSON data handling in SQL

CrateDB's unique, distributed SQL-on-Lucene architecture makes it easy and economical for mainstream SQL developers to handle extreme analytic data requirements:

  • Scale to ingest millions of data points per second
  • Handle a variety of complex data structures - tabular, nested objects (JSON), BLOBs
  • Query data in real time, as it streams in--time series, text search, geospatial, AI analytics

Until recently, workloads like these necessitated a NoSQL solution like Cassandra, Elasticsearch, Splunk, or InfluxDB. CrateDB makes it possible to handle them without sacrificing the familiarity and power of SQL

Download CrateDB

Read the CrateDB Technical Overview

Competitive advantages

CrateDB is typically used in operational analytics applications, particularly those that process machine-generated data.

In those scenarios, CrateDB competitive advantages include:

  • Easier to adopt and integrate than proprietary NoSQL DB interfaces - SQL!
  • Query versatility - SQL joins, aggregations, special indexing for time series, text search, geospatial, user-defined functions for AI/ML
  • Simple scaling and high availability - CrateDB automates partitioning, sharding, replication, indexing.
  • Real-time performance - ingests and queries data in real-time via parallel processing, in-memory columnar indexes.
  • Dynamic schemas - new columns and nested object (JSON) attributes are added to the schema automatically as they are inserted.

Typical application scenarios

CrateDB is ideal for integrating and analyzing streams of data--often machine-generated--in order to monitor, predict and optimize the behavior of smart systems in real time.

Over 70% of CrateDB users surveyed use CrateDB to manage machine-generated data. Popular use cases include:

Key customers

CrateDB customers include McAfee, Qualtrics, Nokia, NBC Golfnow, Digital Domain, ALPLA, eBay, Bitmovin, Konux,...

Visit the CrateDB Customers pages for more use cases and testimonials.

Market metrics
  • The CrateDB open source project was started in 2014.
  • CrateDB was the winner of TechCrunch Disrupt Europe in 2014
  • As of 2018...
    • CrateDB has been downloaded over 2 million times since its introduction in 2014
    • There are 500+ active CrateDB clusters in production globally
    • Crate has offices in New York, San Francisco, Berlin, London, and Austria.
    • The largest CrateDB deployment is McAfee Skyhigh, using CrateDB to analyze cloud traffic from half the F500 companies in real time to find security threats.
Licensing and pricing models

CrateDB pricing 

CrateDB Community Edition is open source and free to use under the Apache 2 license.

CrateDB Enterprise Edition includes premium features and support and is licensed on a per-server basis.

Crate Machine Data Platform (powered by CrateDB) is a cloud service for loading, enriching and analyzing machine data in real time; operated, scaled, and secured by the experts at Crate.io.

Zugehörige Produkte und Dienstleistungen

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

Weitere Ressourcen
CrateDB
Erwähnungen in aktuellen Nachrichten

Crate.io Releases Commercial Machine Data Platform
20. Juni 2018, LinuxInsider.com

Real-Time SQL Is What's Making CrateDB Such A Hit In The IoT Market
26. April 2018, Analytics India Magazine

Senseforce Leverages SQL Database CrateDB to Provide Real-Time Insights to Machine Manufacturers
6. März 2018, Business Wire

Crate.io Brings Power of Industrial SQL Time Series to Azure IoT Hub to Reduce IoT Systems Cost and Complexity
24. September 2018, Business Wire

Crate.io Secures $11M in Series A Funding to Accelerate Development and Adoption of the New Crate Machine Data Platform and Open Source CrateDB 3.0
19. Juni 2018, Business Wire

bereitgestellt von Google News

Jobangebote

Innovation - Data Engineering - Associate 2
PwC, Tampa, FL

Innovation - Data Engineering - Sr Associate 2
PwC, Tampa, FL

Assurance Innovation & Tech - Senior Data Engineer
PwC, Tampa, FL

jobs by Indeed




Teilen sie diese Seite mit ihrem Netzwerk

Featured Products

Couchbase logo

SQL + JSON + NoSQL.
Power, flexibility & scale.
All open source.
Get started now.

Redis logo

Start now with Redis Cloud
Secure, highly available Redis as a serverless, hosted, fully managed cloud service.
Sign up here.

RavenDB logo

Runs on Windows, Linux, Raspberry Pi. Easy to Operate, Fast Performance.
APIs for JS, .NET, Python.
Take a Free Download

Neo4j logo

Get your step-by-step guide comparing RDBMS to graph databases, including data models, query languages, and deployment strategies.

Präsentieren Sie hier Ihr Produkt