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Great Platform to Bring Data Together
What do you like best about the product?
Love the ease of setup and the number of available integrations.
What do you dislike about the product?
I haven't run into any issues using the platform so far.
What problems is the product solving and how is that benefiting you?
We are using it to help us connect our data to some other BI tools.
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Professional, speedy, and knowledgeable
What do you like best about the product?
From day 1, they have helped get me set up and answered any questions I had night and day. The team has been very professional and knowledgeable; some have gone above and beyond.
What do you dislike about the product?
There are a couple of snags that I have found, but I have been assured they are already in development to be fixed/improved, ie the scheduler and the drag and drop transformations
What problems is the product solving and how is that benefiting you?
Hitting daily limits on Google Analytics has proven very difficult until the use of Hevo. Having a localized database of high-level GA data has meant speed and reliability
Recommendations to others considering the product:
Schedule a call, get a demo and then try it out. You can sign up for free and trial it.
One of the best data engineering tool in market.
What do you like best about the product?
The ease with which we can create pipelines along with more than 120 connectors makes it the go-to product for all data engineering needs. Its "no-code" feature helps us move faster.
What do you dislike about the product?
Some disconnections in the Postgres connector while moving data, but the support is very prompt to help us out with any issue.
What problems is the product solving and how is that benefiting you?
Our use case is to aggregate data from multiple sources to create a meaningful story for the team. Hevo helps us fetch data and push it to our warehouse.
Recommendations to others considering the product:
Its a young and good product.
Great experience!
What do you like best about the product?
The support team is very helpful. They support whit any kind of query/issue you can face during the experience on Hevo. The interface is user friendly, so far better than the competitors!
What do you dislike about the product?
Sometimes the guide they provide are not updated, if they refer to the integrations with other platforms. I really hope they can improve on this point to be considered best in class.
What problems is the product solving and how is that benefiting you?
I got reliable reports on Google datastudio, getting data from Shopify as source. The integration works fine and reports always works fine. This result increased the performance of my team overall.
Recommendations to others considering the product:
Be confident.
Start Up Help
What do you like best about the product?
Free and easy to use. Excellent customer service.
What do you dislike about the product?
The pricing could be made a little clearer.
What problems is the product solving and how is that benefiting you?
Solved my data warehousing issues
amazing ETL tool
What do you like best about the product?
I liked the overall tool and the best part is the quick support that hevo provides
What do you dislike about the product?
nothing as of now , i found it to be very useful
What problems is the product solving and how is that benefiting you?
The biggest problem i solved is the upsert operations
I like Hevo
What do you like best about the product?
I have liked the way of designing the source and destinations to process the data in various levels. I have used Kafka Connector
What do you dislike about the product?
I liked Everything.. The Kafka Connector and db connector is wonderful
What problems is the product solving and how is that benefiting you?
Mostly No need to use any third party to connect source and destination
HevoData Review
What do you like best about the product?
Easy to use, very simple tooling, nice features (transformation, reverse data, ...). What I liked the most is the auto-mapping feature which makes really easy to move data from A to B. I also like the clear overview of your data consumption.
What do you dislike about the product?
I like the transformation part, but it could be maybe a bit more "open". Meaning it will be nice to connect/plug to our own company repository; I currently only avoid using it cause of that.
What problems is the product solving and how is that benefiting you?
My problem was to move my data from different data sources (mongo, elastic search, ...) to our data warehouse. Hevo is a great tool for that and the pricing is really good in comparison to other ETL pipeline tools.
Recommendations to others considering the product:
Good pricing, an easy tool, real good support
Excellent fully managed cloud ELT solution
What do you like best about the product?
- Very easy to use
- Excellent personalized support
- Great documentation, especially on setting up new sources
- Very frequent updates with new functionalities and fixes
- Customer feedback and requests are incorporated incredibly fast into the new versions
- Excellent personalized support
- Great documentation, especially on setting up new sources
- Very frequent updates with new functionalities and fixes
- Customer feedback and requests are incorporated incredibly fast into the new versions
What do you dislike about the product?
- Pipeline scheduling still needs some work to have more control of the execution times for all the pipelines
- Cloning existing pipelines is still not possible, requiring to recreate everything from zero
- Cloning existing pipelines is still not possible, requiring to recreate everything from zero
What problems is the product solving and how is that benefiting you?
We have migrated all our existing pipelines to Hevo with great results, and it is now our official ELT tool. It saves us a lot of time compared to working with other solutions, offloading a lot of the engineering overhead required for hosting our own ELT tool. We have received a fantastic level of support in setting up pipelines for complex sources and solving general questions. We have also seen direct enhancements of the Hevo tool as a result of our requests, for example adding new functionalities to REST API for our specific needs and fixing API calls to external websites we are using. We have also saved considerably in operational costs compared to our previous solution. We are very pleased with Hevo, and even though we recognize there are a few areas that still need some work, we are confident that they will tackle them very soon as the tool is constantly improving. They have shown to take their community feedback very seriously.
Recommendations to others considering the product:
Hevo's pricing model is based on the number of rows ingested and provides different tiers with prepurchased packages of rows to be consumed per month, which works really well for our needs. Still, it will depend on each company's monthly data volume to evaluate if this model will be more cost-effective for them or not.
If you have a specific need or a particular source not in their current offering, get in touch with them anyway. They might add or fast-track your requirement if it is technically possible for them to do so in order to get you as a client. They did it for us.
If you have a specific need or a particular source not in their current offering, get in touch with them anyway. They might add or fast-track your requirement if it is technically possible for them to do so in order to get you as a client. They did it for us.
Hevo is the way to go for building a reliable Data Pipeline infrastructure
What do you like best about the product?
What I like most about is the way it allows us to handle source data by completely abstracting the underlying architecture (semi structured or relational). Additionally, if you envision L1, L2, L3 models for example to obtain the main objectives out of DIKW hierarchy, the data models option in Hevo is the way to go. You can actually, create, workflows, to ensure that there is no ambiguity in the end-end data delivery process.
What do you dislike about the product?
Nothing much really, the workbench has code formatting option now but lacks the ability in allowing the end user to save the code. What this means that is, even if you click by mistake on the back button, you might loose all the progress done. So, one needs to stay careful while using on the workbench. But, this isn't that great as an issue, since we can anyways use IDEs for code development and then may be use Hevo for the main objectives we have.
What problems is the product solving and how is that benefiting you?
It is slightlyan overhead to manage and setup BI in the organisation if the data is heavily nested (really complex nested data with json structure and arrays within the same and the nesting continues). So, aggregations weren't sufficient solution for us to solve the problem.
Hevo really, helps us is to maintain near realtime data on the warehouse and process the nested data the way we want to without any ambiguity. To cut short, we can realise a perfect data pipeline to solve the business problem.
Hevo really, helps us is to maintain near realtime data on the warehouse and process the nested data the way we want to without any ambiguity. To cut short, we can realise a perfect data pipeline to solve the business problem.
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