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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.
Hevo Data, a great ELT tool for the modern stack
What do you like best about the product?
Very intuitive easy to use software. Many pre built integrations ready to use, specifically dbt core was very helpful. Allows for simplicity by bringing all transformations in models and pipelines to use SQL.
What do you dislike about the product?
Have found that with dbt models specifically, the error messages when models fail are very vague and would be good to have some more information for example which model specifically has failed.
What problems is the product solving and how is that benefiting you?
Moving away from legacy systems and legacy databases and being able to efficiently use cloud based architecture
Automated Data Pipeline
What do you like best about the product?
How simple and efective it is at connecting to example META and transfer my data to Google BigQuery so I easily can access all my data in the same way via MySQL. Awesome support, best support i have ever encountered. Dose all they can to help me with my problems and guide me in tasks that i do not know how to do.
What do you dislike about the product?
The UI can be alitle hard to navigate. Could use some more streamlineing in the button placements and icons. Would also be nice with some kind of bulk editing option.
What problems is the product solving and how is that benefiting you?
It lets me easily put all my data in Google BigQuery.
Good for other sources, Bad for Postgres.
What do you like best about the product?
Simple UI, ease of use. and multiple sources available
What do you dislike about the product?
Their inability to resolve issues, Postgres bases pipelines are instable
What problems is the product solving and how is that benefiting you?
Ingesting from source 1 to source 2
Seamlessly manage you pipelines and load you data
What do you like best about the product?
how helpfull is hevo for day to day data management
What do you dislike about the product?
how easy it makes complex data engineering a thing of past
What problems is the product solving and how is that benefiting you?
we have a huge nosql base source which easily replictaed to our datalake by hevo
Very useful and responsive SaaS application for data integration
What do you like best about the product?
Many connectors, good and responsive support when needed (and often needed), reliability. Often responsive to new feature requests when needed.
I personally find the balance of ease of use and customisability and other technical needs, a very good one.
I personally find the balance of ease of use and customisability and other technical needs, a very good one.
What do you dislike about the product?
Being a SaaS, you can't change everything of course. For example, some error codes are not seen directly (but but often be retrieved from customer support). Some pipelines may be of higher importance in speed despite data amount than others. Such aspects are a bit limited to control.
What problems is the product solving and how is that benefiting you?
It retrieves data from quite a good variety of data sources, and loads it into your analytical datawarehouse. This is the biggest use case. We have tried it as well from two different on-premise databases as well for data replication between them as well.
Oplog,binlog or similar is great when needed, but several alternatives to those when those are not available.
Very nice that a number of other non-db sources also are supported.
Oplog,binlog or similar is great when needed, but several alternatives to those when those are not available.
Very nice that a number of other non-db sources also are supported.
Excellent
What do you like best about the product?
Easy to use
Easy Implementation
Customer support
Easy Implementation
Customer support
What do you dislike about the product?
Customer support should be improved
Features can be improved like workflow and model
Interface should be more user friendly
Features can be improved like workflow and model
Interface should be more user friendly
What problems is the product solving and how is that benefiting you?
- Linking Gsheet
- connecting AWS
- Workflow scheduling
- Model scheduling
- connecting AWS
- Workflow scheduling
- Model scheduling
Easiest way to create pipelines
What do you like best about the product?
Ease of Use
Real-time Data Integration
Robust Connectivity
Real-time Data Integration
Robust Connectivity
What do you dislike about the product?
Model Failures (sometimes it happens too often)
What problems is the product solving and how is that benefiting you?
Helping in creating and automating aggreated tables at scale which helps me reduce the occupied memory size in the data warehouse.
There are a few shortcomings
What do you like best about the product?
Data flow is good. Makes it easirt to interpret
What do you dislike about the product?
Inability to capture data through some APIs
What problems is the product solving and how is that benefiting you?
Data capturing
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