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Stitch
Was ist Stitch?
Heutzutage verlassen sich Unternehmen auf eine schwindelerregende Anzahl von Anwendungen, um ihre Abläufe auszuführen. Stitch extrahiert die riesigen Mengen an isolierten Daten, die in über 120 SaaS-Anwendungen und -Datenbanken generiert werden, und integriert sie schnell in ein Data Warehouse oder einen Data Lake, was die Zeit für die Bereitstellung von Analysediensten von Tagen auf Minuten reduziert. Datenanalysten erhalten die Unabhängigkeit und Nutzerfreundlichkeit, die sie benötigen, und Führungskräfte erhalten die Antworten, die sie benötigen.
Wer verwendet Stitch?
Unabhängig davon, ob du mehrere Umgebungen unterstützt, eine Datenmigration durchführst oder einen hybriden Datenstack pflegt, Stitch kann dir helfen, deine Datenquellen an verschiedene Ziele weiterzuleiten, um deine Anforderungen zu erfüllen.
Du bist nicht sicher, ob Stitch das Richtige ist?
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Stitch
Bewertungen über Stitch
Stitch - Cloud solution to build data pipelines !
Kommentare: The Stitch is the go to tool to build your data pipelines quicker.
Vorteile:
The stitch gives you the flexibility use the cloud infrastructure and connect to different multiple sources to feed the Datawarehouse . The product helps you with its inbuilt connectors , which helps you to avoid developing custom code connectors.
Nachteile:
The flexibility of providing serverless architecture to run you custom python code will be really helpful .
In Betracht gezogene Alternativen:
I love Stitch. Not using it at new compnay but miss it's simplicity
Kommentare: Would be my first choice of ETL tool when starting out, and only upgrading to something else if needed.
Vorteile:
Stitch is so simple to set up and maintain. Support is always good in the rare cases you need their help. The logs of extractions and loads are easy enough to debug yourself usually. Huge range of built-in source and destination integrations . Very clear docs Very straightforward and simple pricing. Move your plan up and down with the drag of a mouse.
Nachteile:
A reason we don't use Stitch at my current company is that there is a lack of guarantees about data quality. Theoretically it should be 100% but since our data is now more important to have 100.00000% accuracy we needed to go with a more rigorous ELT tool No row level filtering.
In Betracht gezogene Alternativen:
Underwelming and lacking important features
Kommentare: It was an OK experience. I works well but just lacks features that other tools offer for the same price.
Vorteile:
Despite its flaws, Stitch works and gets the job done: It is quite simple to implement and get things running, works fairly well and is stable. It allowed for the data extration during the first months of my company without many problems. It is still a viable option.
Nachteile:
Stitch doesn't offer Single Sign-On with Google nor two-factor authentication, which is a basic security feature and was a dealbreaker for us. It also did not have good consumer support and the UI is extremely basic (it looks dated and unprofessional).
Perfect tool to integrate with your data sources!
Kommentare: So far so good! Not everything is perfect but it's pretty close. It needs very little attention once it's running.
Vorteile:
Extremely simple to have it up and running! UI is simple and does the job. In just a few clicks you can have your integration(s) defined. They keep on adding new integrations (it would be nice to be a bit more aware of it though, I don't receive any emails about that).
Nachteile:
Hard to find something to say so I'll have to be picky. When selecting the tables to add, usually not all fields for the table are selected (only the keys). It would be nice to be able to change this default behaviour to have all fields selected instead of only the key. Also, it would be nice to be able to select all the tables you want directly without having to drill down back and forth into the selection of fields for each table. Another thing I can think of is that the support seems to be located mostly (only?) in the west coast of US which could be annoying for customers located a few time zones away as the support window is not too big.