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awesome tool with exceptional support
What do you like best about the product?
a very reliable tool with an exceptional team support and a variety of connectors, we started using hevo for 8 months now and we couldnt ask for a better partner to ingest data from our different sources to the DW
What do you dislike about the product?
everything is actually perfect, can't think of any
What problems is the product solving and how is that benefiting you?
solving the ELT ISSUE
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A positive look on ETL
What do you like best about the product?
Setting up ETL's has been fairly straight forward but I really like the customer support
What do you dislike about the product?
I wish there was better documentation on setting up pipelines.
What problems is the product solving and how is that benefiting you?
We are able to extract data via custom API's that other companies cannot offer.
Easy to useHevo Data: A powerful ETL tool, with room for improvement.
What do you like best about the product?
Hevo's biggest advantage is its simplicity. It makes setting up data pipelines incredibly easy, even for people who aren't programmers. The huge number of apps it connects to is a real time-saver; you don't have to build custom integrations for everything. This means you get real-time data flowing into your warehouse quickly, which is crucial for making good decisions based on current information. Basically, it lets you focus on using the data, not wrestling with the technicalities of getting it. The customer support is also really good and prompt. We are using daily this pipelines. Its been really easy to integrate with sources.
What do you dislike about the product?
Limited control over pipeline runs and scheduling.
Troubleshooting is difficult due to opaque connector workings.
Manual refreshes don't always fix synchronization problems.
Lack of granular control hinders effective problem-solving.
Oracle RDS to redshift facing too many issues due to missing permissions and there is no proper documentation where we can see the actual implementation and steps to setup.
Troubleshooting is difficult due to opaque connector workings.
Manual refreshes don't always fix synchronization problems.
Lack of granular control hinders effective problem-solving.
Oracle RDS to redshift facing too many issues due to missing permissions and there is no proper documentation where we can see the actual implementation and steps to setup.
What problems is the product solving and how is that benefiting you?
In our natural retreats business, Hevo Data solves the problem of replicating data from our Oracle RDS to Redshift for real-time reporting. It provides the necessary real-time data integration for our operations.
Great experience with Hevo using Shopify data
What do you like best about the product?
Shopify data is quite complex. Hevo makes it all accessible in an easy to use format in which you select the fields you want from each table. The user interface is easy to use and thorough, with appropriate defaults if you don't need to get into field mapping, etc.
One big benefit for us is that Hevo does not include a database and is priced less because of it. We already have a database and wanted to populate that vs. paying for storage and having to replicate.
We had occasion to use their support a few times; twice for things that were actually our errors in understanding the data and once for an issue with a name field that was a reserved name in Azure Analysis Services. They quickly troubleshooted the problem, provided a workaround using mapping, and will resolve the issue for future customers. Support is *very* responsive and sends status messages every day.
We have the capabilities in-house to build datalflows like this, but Hevo makes it very easy, very fast, and very configurable. Using them is worth the savings in understanding the intracacies of complex APIs.
FYI, we integrated with Synapse Analytics first, but it required a full time SQL pool that we just did not need for our use case. We then switched to Azure SQL Serverless and the product worked fine with that.
If you notice that we are not a current user, that is because we had to develop Azure Data Factory pipelines for other purposes and decided to do Shopify ourselves. If we were starting again from scratch, I would use Hevo instead, especially if I needed any of the other data sources they support.
One big benefit for us is that Hevo does not include a database and is priced less because of it. We already have a database and wanted to populate that vs. paying for storage and having to replicate.
We had occasion to use their support a few times; twice for things that were actually our errors in understanding the data and once for an issue with a name field that was a reserved name in Azure Analysis Services. They quickly troubleshooted the problem, provided a workaround using mapping, and will resolve the issue for future customers. Support is *very* responsive and sends status messages every day.
We have the capabilities in-house to build datalflows like this, but Hevo makes it very easy, very fast, and very configurable. Using them is worth the savings in understanding the intracacies of complex APIs.
FYI, we integrated with Synapse Analytics first, but it required a full time SQL pool that we just did not need for our use case. We then switched to Azure SQL Serverless and the product worked fine with that.
If you notice that we are not a current user, that is because we had to develop Azure Data Factory pipelines for other purposes and decided to do Shopify ourselves. If we were starting again from scratch, I would use Hevo instead, especially if I needed any of the other data sources they support.
What do you dislike about the product?
The lack of a database could be an issue for some potential customers. The product is very attractive to people who won't build API interfaces, but it does require a bit of technical setup of a database, primarily because Shopify data cannot be queried quickly. Some products include this, but they are much more expensive. Also, if you don't need a database on your end now, you may well need one in the future and should consider going this route.
I'm giving them an N/A for security because I didn't deep dive on it. All interactions with them have respected security (e.g. they ask for permission for their support staff to access your data), but I didn't evaluate their business practices.
I'm giving them an N/A for security because I didn't deep dive on it. All interactions with them have respected security (e.g. they ask for permission for their support staff to access your data), but I didn't evaluate their business practices.
What problems is the product solving and how is that benefiting you?
Getting data out of Shopify and into our Business Intelligence system.
A must have Data Migration tool with great simplicity and a scope for advanced capabilities
What do you like best about the product?
- Easy to use interface
- Support for wide range of Connectors
- Automated Schema management
- Minimised data loss
- Good customer support
- Support for wide range of Connectors
- Automated Schema management
- Minimised data loss
- Good customer support
What do you dislike about the product?
- Limited transformation capabilities
- Pricing model
- Pricing model
What problems is the product solving and how is that benefiting you?
Ease of extraction and replication at different frequencies and time periods. I like how I can set and forget the pipelines and Hevo does the heavy lifting.
Just what we needed
What do you like best about the product?
I was looking for a solution to replace our buggy AWS Python Lambdas, which move data from DynamoDB to Redshift for analytics.
After evaluating AWS Glue and a few other vendors, I was impressed by how easy it was to set up pipelines with Hevo and how it "just worked."
I wrote a transformation to split the data across multiple Redshift tables, and it was super easy. Plus, the auto-mapping feature is a breeze.
We now have data we can trust.
The sales and support team were very helpful and eager to assist, even knowing we would be a small customer.
After evaluating AWS Glue and a few other vendors, I was impressed by how easy it was to set up pipelines with Hevo and how it "just worked."
I wrote a transformation to split the data across multiple Redshift tables, and it was super easy. Plus, the auto-mapping feature is a breeze.
We now have data we can trust.
The sales and support team were very helpful and eager to assist, even knowing we would be a small customer.
What do you dislike about the product?
Nothing comes to mind as of right now. The pipelines are just running smoothly.
What problems is the product solving and how is that benefiting you?
I was looking for a solution to replace our buggy AWS Python Lambdas, which move data from DynamoDB to Redshift for analytics.
I have great experience with Hevo Data
What do you like best about the product?
Quickly Support, very professional and nice!
What do you dislike about the product?
Hevo Data is not allowed to have too many customizations during the transformation process
What problems is the product solving and how is that benefiting you?
Hevo can connect to manny source and easy to use
A great experience
What do you like best about the product?
- Easy to Setup
- Great Documentation
- Support for Multiple Ad Platforms : We primarily used Google and Facebook Ads.
- Ability to ingest custom reports from the two ad platforms.
- Fast Customer Support
- Great Documentation
- Support for Multiple Ad Platforms : We primarily used Google and Facebook Ads.
- Ability to ingest custom reports from the two ad platforms.
- Fast Customer Support
What do you dislike about the product?
- Free Tier limits the number of connectors.
What problems is the product solving and how is that benefiting you?
The main reason why we explored HEVO data was for the purpose of extracting ad data from Facebook and Google Ad Plaforms.
As it was time consuming to extract data from individual platforms using their own APIs, HEVO Data made it very easy for us to do it.
As it was time consuming to extract data from individual platforms using their own APIs, HEVO Data made it very easy for us to do it.
Hevo a perfect etl tool for mid size companies
What do you like best about the product?
Simple ui, out of the box integrations with multiple sources
What do you dislike about the product?
Limited visibility of logs ,error logging can be more verbose, complex transformations are not supported
What problems is the product solving and how is that benefiting you?
Replication of json data in structured format into downstr systems
easy to use, very flexible
What do you like best about the product?
making pipelines made easy. there are so many premade pipelines to use which makes the job easier
What do you dislike about the product?
i think hevo needs to improve more on updating pipelines such as premade hubspot. hubspot has new properties already but is still not available to hevo.
What problems is the product solving and how is that benefiting you?
hevo helps a lot on ETL processes. Loading data from multiple sources to our analytics data warehouse.
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