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Integrate.io
Description de Integrate.io
Xplenty est une plateforme de livraison de données qui permet aux entreprises de libérer la valeur de leurs données. Avec plus de 100 intégrations, les équipes peuvent désormais obtenir des informations à partir des données des campagnes marketing, des statistiques sur les ventes, des données client, de l'analyse de l'utilisation des applications, etc.
Qui utilise Integrate.io ?
Xplenty est au service d'une variété d'équipes provenant d'une multitude d'entreprises et de secteurs verticaux : marketing, ventes, BI, produits et finances ; des entreprises de Fortune 500 jusqu'aux PME et en passant par les start-up, ils utilisent Xplenty.
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Integrate.io
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ETL for agile analysts
Commentaires : There are mostly two types of ETL as a service on the market: one is super easy to use and can migrate your data across services and databases but lacks transformation capabilities, while the other needs full-time data engineers to operate but tailored solutions are available programmatically. Xplenty sits in the golden middle letting analysts and engineers deploying custom transformation jobs in minutes even based on multiple data sources. The UI is intuitive but you can always use SQL to filter your sources or to create new sets in scheduled packages. Also, there are plenty of built-in functions available. Running costs are not comparable of running your own services on Heroku or Google cloud but its intuitive features save a lot of engineering hours. I would recommend Xplenty for agile teams having multiple sources of data where data analysts frequently needs custom datasets to deliver insights.
Avantages :
- wide variety of sources and destinations - visual editor makes creating packages quick and easy - SQL transformations - great, quick, responsive support - free unlimited hours of sandbox - Slack integration
Inconvénients :
- expansive for hourly jobs - error logs are not always informative - transforming JSON or other nested data is not trivial
Réponse de l'équipe de Integrate.io
il y a 5 ans
Thank you for your detailed review! We appreciate your comments and will work on your listed cons. Great explanation of who will likely benefit from using Xplenty. Thanks!
Alternatives envisagées précédemment :
No-SQL to SQL
Avantages :
We have a complex and highly nested no-sql DB. Xplenty was the only ETL solution that allowed us get out data into tabular format for analysis
Inconvénients :
None. Its been great. Haven't had any issues.
Réponse de l'équipe de Integrate.io
il y a 5 ans
Glad to hear!
No code ETL pipelines
Commentaires : We stopped using xplenty when we started creating complex pipelines which required joined across data schemas.
Avantages :
Drag and drop interface easy to use for simple pipelines. Coding skills not needed to create and setup a pipeline. Very prompt support.
Inconvénients :
The same drag and drop interface becomes extremely tough to use for complicate pipelines. Deployment of pipelines quite confusing.
Alternatives envisagées précédemment :
Great ETL solution with responsive technical support
Commentaires : One of the key benefits is how technically capable their support staff is. They do a great job supporting a technical product.
Avantages :
We used Xplenty for 3 years as our ETL. It was easy and flexible to setup and was the only solution on the market that could handle MongoDB to Redshift with a very nested structure.
Inconvénients :
Nothing I disliked. When we had an ETL (now on ELT) it was great and exactly what we needed.
My Views on Xplenty after using it for 2+ years
Avantages :
1.The user experience is so good. 2.Every feature and usability has been simplified unlike in other enterprise ETL tools. 3. The managed service for infrastructure is the USP of xplenty. 4. The customer support is so active and get back to us with the solution on time. 5. Xplenty is on PAR with enterprise level tools.
Inconvénients :
I did not have anything like that, but there is a room for improvement in cluster management and a request for feature is they can bring a in-built support for handling array data type.
Réponse de l'équipe de Integrate.io
il y a 5 ans
Thank you for your review! We will look into your feature requests. :)