We have already implemented integration with Nuvo at Saleor Commerce. It's an excellent foundation for our users - they can export data in CSV from any platform they were using before and simply import it into their Saleor instance
For developers, it's very hard to implement mapping from every platform we want to support. With nuvo, our users can easily match source and target data models. If the model changes, we don't have to maintain it because nuvo can resolve columns pretty well automatically.
What a great success story! A very meaningful improvement for data pipelines across industries. Are there any restrictions on how often data uploads can be performed within a certain period?
Great job guys,
I love the beautiful interface and custom transformations. I worked for a number of years in the investment banking space and this would have been a game changer. I'm very keen to jump in and have a go.
Hi Product Hunt 👋!
I’m Ben, Co-Founder and CTO of nuvo. After launching our Importer SDK last year, numerous clients requested possibilities to fully automate the onboarding of external data, leading to this launch. We’re super excited to introduce our nuvo No-Code Data Pipelines on Product Hunt! 🚀
🆘 What is the problem?
External data sources such as Excel and CSV are highly relevant. However, importing them requires painful custom development and a lot of manual reformatting efforts. A generalistic solution is needed.
✅ Our solution:
With nuvo, customers are able to build, launch and run pipelines connecting sources like CSV Files, (S)FTP & HTTPS within minutes. Our no-code user interface empowers everyone in your organization to set up and automate data transformations and import external data on a predefined schedule.
🛠️ How does it work:
1️⃣ Select Connectors: Choose your Input Source and link it to your desired
Output Target
2️⃣ AI Column Mapping: Our AI Algorithm automatically maps Input Columns to your Output Schema
3️⃣ Data Transformation: Use Excel-like Formulas, or inject custom Code to enable powerful Transformations
4️⃣ Schedule Pipeline: Determine when your Pipeline should run
5️⃣ Monitor Runs: Overview all Executions & fix broken Pipelines if required
Check out our quick run-through video: https://www.loom.com/share/6244e...
We're excited to hear your feedback. Drop your comments and questions below! 🚀
@benhrtg Impressive dedicated effort by you, @yishaq13, and the whole Engineering team made this possible. Enjoy the day and looking forward to a lot of feedback and seeing exciting use cases! 🚀🚀🚀
@lifenautjoe Thank you so much Joel.
Do you think you will try out the product?
If yes, let me know what you think about it and which potential features would help you in the future.
Looking forward to your answer 🚀
@youtube_ Thank you so much Matt. Do you think this tool will solve some of your pain points?
Btw I saw your Launch this week.
Your product looks really great. Do you have any learnings from your launch so far?
Looking forward to your response 🚀
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🔌 Plugged in
Wow! the no-code interface feature is such a game changer for those who doesn't have a lot of DevOps resources. Congratulations!
@ian_johnson7 Hey Ian, we are super proud that our UI enables non-technical people to perform powerful data transformations. 🙌
Thanks for your kind words!
@ian_johnson7 Thanks for your support! Most companies (if not all 👀) lack developer resources, which is why we want to empower non-techies to build, launch, and scale powerful data pipelines.
@ian_johnson7 Hi Ian, Thanks a lot for taking the time to write a comment and support us.
Yes, we really want to enable non-IT native users to use and set-up pipelines in no time.
Have a great day.
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💡 Bright idea
Congrats on the launch, I haven't worked much with data whenever I came across import or transform data it is something I want to avoid mostly because it is painful and boring. Happy to see some automated solutions.
Honestly, I couldn't get what it is about from the home page, the product hunt page is been very informative. I don't know is it just me feeling that way, little clear home page messaging will be helpful
@dineshan_sithamparanathan Thanks for sharing your valuable insights! We are still trying to nail messaging on our landing page and will make sure to improve. Given that our Product Hunt messaging seems to work better, we will align here. 🙌
I hope we can convince you to start importing more data and see its value when not focusing on lengthy onboarding cycles!
@dineshan_sithamparanathan Dineshan, your feedback is really valuable and we already noted it down.
If you have any further ideas and improvements to share please let me know.
Have a great day. 😀
When will you launch yourself?
Happy to see the product then.
@dineshan_sithamparanathan Thank you so much for your feedback! That's exactly what we need! As Michael already mentioned, we are constantly tweaking and improving the messaging. Given that we just launched the pipelines product, there's a lot work to be done to nail the messaging! 💪
Do you mind if I contact you later to get feedback on our next website revision?
@iamtikue Hey Tikue, implementation speed was of the highest priority to us when building this product. Feel free to sign up; you'll see how fast you get started 🚀
@iamtikue Of course, it always depends on the use case. But it can be done in a few minutes. If you need any support, please let me know. Looking forward to receive your feedback 🚀
@new_user_937170b1b4 Thanks a lot for your message! The product hunt community has been extremely supportive and the help has been crucial for our launch. If you need any support, don't hesitate to contact us!
@new_user_937170b1b4
Alexander - thanks, for taking the time to write. I for myself have the question how we can motivate the community to test and try out our solution?
If you have any further ideas and improvements to share please let me know and Im happy to share it with my engineering team.
Have a great day.
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What a great success story! A very meaningful improvement for data pipelines across industries. Are there any restrictions on how often data uploads can be performed within a certain period?
@benedikt_lorberg Thanks a lot for supporting our launch! There are certainly no restrictions on how often data uploads can be performed! You can simply determine the frequency of your imports in your pipeline settings! ⏱️
Let us know if there are any other open questions you might have!
@benedikt_lorberg We currently support daily, weekly, and monthly pipeline schedules, but we are working on a potential hourly version of our tool.
Moreover, we try to implement event-based scheduling soon so that the pipeline runs not on a timed event but is triggered via an event like an HTTP request.
Feel free to reach out to us if you have any further questions.
Enjoy your weekend 🚀
Congratulations on the launch! Providing the option to use custom code is a great way to offer flexibility. I was wondering if it's possible to save and reuse some of the transformations for later use?
@an_di2 Thank you for your comment and for your interest in our platform! Yes, it is possible to save and reuse transformations that you apply to data pipelines, providing a convenient and efficient way to streamline your data processing workflows.
In addition to our pre-built connectors and data transformations, we offer the flexibility to create custom transformations using JavaScript code. This enables users to implement their own data transformations in a way that best suits their business needs.
We believe in providing our users with the tools and flexibility they need to effectively manage their data processing workflows, and we're thrilled to hear that our platform is meeting your needs.
Thanks again for your support, and please don't hesitate to reach out if you have any further questions or feedback!
@an_di2 Thank you for your question. As answered by Yousaf there are various ways to reuse your own transformations.
Furthermore, we have a comprehensive knowledge base where you shop for various functions and code snippets :)
Thanks again.
Do you have any additional questions?
@an_di2 Thanks for your kind words and support! Please let us know what you think of the product once you're testing it! Your feedback is very valuable as we continue to improve our solutions!
If you need any help, please don't hesitate to jump into a quick call with the team! We are here to help you!👋
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