Fivetran

4,7 (3 Bewertungen)

Was ist Fivetran?

Fivetran ist der führende Anbieter für automatisierte Datenintegration. Das Unternehmen bietet eine vollautomatisierte, vollständig verwaltete Datenintegrationslösung an, die in wenigen Minuten eingerichtet ist. Durch vordefinierte Konnektoren werden Daten automatisiert in normalisierten, analysebereiten Schemata an das Datawarehouse geliefert.
Mit dem Einsatz von Fivetran wird Zeit gewonnen, die IT Professionals traditionellerweise mit der Einrichtung und Pflege von Data Pipelines verbringen. Durch die Zentralisierung und den Zugriff auf aktuelle und vollständige Daten können Unternehmen spielend einfach datengetriebene Nutzungsszenarien realisieren.
Fivetran wurde 2012 gegründet und hat seinen Hauptsitz in Oakland mit weiteren Standorten in Denver, Sydney, Bangalore, Dublin, London und München. Weitere Informationen unter Fivetran.com

So schätzen User das Produkt ein

9.5

Benutzerfreundlichkeit

Andere

Kategorie-Durchschnitt: 9.2

10

Erfüllung der Anforderungen

Andere

Kategorie-Durchschnitt: 9.3

10

Kundensupport

Andere

Kategorie-Durchschnitt: 9.2

9.5

Einfache Einrichtung

Andere

Kategorie-Durchschnitt: 9.1

Fivetran Screenshots & Videos

Fivetran Screenshot #0

Fivetran Funktionen

Funktionalität

Diverse Extraktionsquellen

Datenstrukturierung

Konsolidierung

Datenbereinigung

Cloud-Extraktion

Auszüge

Transformation

Laden

Automatisierungen

Scalability

Management

Reporting

Auditing

Infrastrukturkompatibilität

Überwachung

Lösungsbereitstellung

Pay-by-Usage

Fivetran Erfahrungen & Reviews (3)

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Schlagwortsuche

“Great and simple ETL/ELT tool”

D
In den letzten 12 Monaten
Dimitrios
Verifizierter Reviewer
Data Consultant bei
Dept
  • 1001+ Mitarbeiter:innen
  • Branche: Internet

Was gefällt Dir am besten?

Fivetran is very simple to use and robust. It is definitely a tool that you can rely on and you know it will get the job done. New functionalities are being added regularly (e.g. transformations and dbt integration) and the company is making big steps in different ETL/ELT relevant directions.

Was gefällt Dir nicht?

It would be great to have the possibility to view a sample of the extracts and choose for a specific timeframe to refetch the data.

Welche Probleme löst Du mit dem Produkt?

With Fivetran one can be sure that their ETL/ELT jobs will work without interruptions. The dev team is taking care of any changes in the APIs and the support team is super responsive and always helpful. Other than that, the tool is very intuitive and easy to use, and there is a very wide range of connectors.

“easy to use elt tool for common data sources”

T
In den letzten 12 Monaten
Tanasorn
Verifizierter Reviewer
Solution Consultant bei
Dept
  • 51-1000 Mitarbeiter:innen
  • Branche: Internet

Was gefällt Dir am besten?

The ease of use of Fivetran is what I like about it the most. I used to develop custom connectors in Python so I know how difficult the process can be, however, with Fivetran you can ingest a new data source into the data warehouse within minutes by just creating a connector and configuring a few fields in the user interface (service account email, account password, account keys etc). I also like how there is a Fivetran API where you can programmatically edit multiple connectors using a few lines of Python. This is especially useful when you need to edit the schedules of multiple connectors or enable/disable a lot of connectors at once.

Was gefällt Dir nicht?

The only main downside to Fivetran is that not all data sources have connectors, so you need to still implement custom Python connectors for sources that Fivetran do not support (AWIN, Adjust etc.). The other thing is that I do not really ever use their sql transformation function as there are better tools to do so out there (dbt) so I find it quite obsolete. Although I do understand why they include it as some other companies might find it useful.

Welche Probleme löst Du mit dem Produkt?

The main problem that Fivetran solves is it simplfies super complex ELT pipelines using Talend or Python scripts. With Fivetran, ELT is so much easier as it takes care of a lot of the big data ingestion jobs and the connector is maintained by Fivetran so all updates to the API is handled by Fivetran. So all you need to do is maintain a few number of custom connectors not supported by Fivetran, which really makes ELT a lot more simple.

“Easy and quick solution to data integration!”

S
In den letzten 12 Monaten
Sera
Verifizierter Reviewer
Junior Data Management Consultant bei
Dept
  • 1001+ Mitarbeiter:innen
  • Branche: Internet

Was gefällt Dir am besten?

It is a tool that doesn't take more than a day to learn how to use yet very adaptable. Very easy to configure and no coding required. It may be one of the easiest ETL (or ELT in this case) tools I have ever used. It works great with cloud datawarehouses and I never had an issue in any of my connectors so far.

Was gefällt Dir nicht?

There are still some properties that could be added to make it more flexible and reduce workarounds due to tool dependencies. As it is not a complex ETL tool to use, Fivetran automatise several processes and in some cases, it is actually not very useful. A very simple example is that Fivetran specifies the data type based on the data from the source. In the cases that you need to get an error (like having a string instead of integer), it changes the type in the target and runs without any errors. Which might be very useful in some cases but I wish it was configurable.

Welche Probleme löst Du mit dem Produkt?

Extract, load and transform data from a huge variety of sources into data warehouse. It works great with cloud datawarehouses and I never had an issue in any of my connectors so far. No delays or any issues related to data. For anyone using it day-to-day, it is very time and cost efficient.

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