Hevo Data Pipelines
Hevo DataReviews from AWS customer
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good system that allows for us to automate our pipelines
What do you like best about the product?
changing data in excel reflects in snowflake correctly
What do you dislike about the product?
ingestion and load time lags can be slow
What problems is the product solving and how is that benefiting you?
auto ingestion of files from source pushed to snowflake
Simple cost effective tool for ELT
What do you like best about the product?
We chose hevo for its ability to read primary keys from flat files and merge them into a table. This is a feature other tools did not have. The tool is also much cheap compared to competitors. Support is quick to reply and mostly easy to work with.
What do you dislike about the product?
We had some challenges with jobs timing out on large files and had to get support involved. Pipelines dont automatically scale but once we had help from hevo all was working smoothly. If the tool had a proprietary db replication feature similar to fivetran sync I would move all jobs over to hevo.
What problems is the product solving and how is that benefiting you?
Hevo helps us cost efftively move millions of records a day from various vendors/softwares into our central data warehouse snowflake.
Good ELT tool
What do you like best about the product?
Loading the data before doing the transformation
What do you dislike about the product?
Not so helpful if we want to delete some data
What problems is the product solving and how is that benefiting you?
It is used to replace the Talend Open studio ETL tool which have many downsides
Good Tool to easily manage your ETL processes
What do you like best about the product?
Very good interface and easy to understand
many integration to different tools
many integration to different tools
What do you dislike about the product?
The calculation of events consumed is not really clear to me
What problems is the product solving and how is that benefiting you?
Low-code solution and Hevo manages changes in the APIs of different tools
So we don't need deep expert knowledge to manage our ETL processes.
So we don't need deep expert knowledge to manage our ETL processes.
A thoughtful experience
What do you like best about the product?
Working with Hevo has been surprising in several aspects. In addition to being a great tool, they have a team completely focused on problem solving, available when the customer has something to solve and which helps in dealing with problems even before we identify them.
What do you dislike about the product?
There are some UI details that can be improved, such as searching and viewing the pipe state by schema when there are multiple schemas in the same pipeline.
What problems is the product solving and how is that benefiting you?
Hevo is used to allow us to extract data from our multiple data instances, each of which can contain up to thousands of different schemas in a simple and effective way.
Good tool for building data pipelines. Easy to use, but sometimes there is a downtime
What do you like best about the product?
Easy to use and connect diffreent sources of data
What do you dislike about the product?
Sometimes, ther ehas been lag in the pipelines, which leads to downtime
What problems is the product solving and how is that benefiting you?
Hevo helped us to build data pipelines from our data warehouse. Helped in the ETL process .
If you know what you are doing Hevo imght be the way to go, but watch out for the price
What do you like best about the product?
Hevo provides lots of functionalities and customizations. The ability to apply custom python scripts to data before the data even gets into your database is great.
What do you dislike about the product?
It's complex, if there's an issue with your data (e.g. Some rows coming in are formatted differently for some reasons) this really breaks everything up and it's complex to solve. Pricing as well, since it's per row, makes it really hard to be predictable.
What problems is the product solving and how is that benefiting you?
It allowed us to centralized all of our Clients data in one place and provide them with insights they wouldn't be able to find out otherwise
Clean UI that gets the job done
What do you like best about the product?
Customer Suppor team - very quick to get the issue resolved
What do you dislike about the product?
Number of connectors available - many more could be added which I am sure will be done
What problems is the product solving and how is that benefiting you?
Data extraction and loding to our warehouse
Excellent Automated Data Pipeline Tool
What do you like best about the product?
Hevo Data makes it easy to connect to many data sources and build a BI-ready data warehouse.
The platform is very stable and the support is quick and helpful.
The platform is very stable and the support is quick and helpful.
What do you dislike about the product?
When using the Models feature in Google BigQuery, the Hevo-created tables have a default expiration date, which, when reached, clears out the data from the table. This cleared out a client's BI solution one time and, while it was not a difficult fix (restoring the tables within BigQuery) it was not ideal.
What problems is the product solving and how is that benefiting you?
I build business intelligence solutions and I use Hevo for the most complicated data extraction and warehousing tasks. Because of the breadth of sources and excellent pipeline and modeling features it is really easy to create a complete data warehouse, especially when mixing old and new technology within the same data pipeline (e.g. fusing realtime data from an API with periodic spreadsheet reporting).
Great service, works as advertised.
What do you like best about the product?
Hevo functions well and is easily implemented. Service is top-tier, with any type of question. I haven't run into a connection I need but is not offered. Other services I have tried do not offer the full range of features that Hevo does.
What do you dislike about the product?
Sometimes error messages or failures can be unexplainable in and of its own. It can be ambighous as to where a fix needs to be made, requiring us to contact support.
What problems is the product solving and how is that benefiting you?
We connect different data sources to create a single data warehouse, with generally some sql queries to transform the data in between. We use it both for historical loads and fresh data.
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