
Hevo is so simple and easy to hook up with a source data platform and a destination data platform. It really helped us out of a jam in figuring out our data warehouse strategy and implementation. We were recommended to Hevo by Snowflake and it was painless and effortless to get things moving.
I also like that it supports a wide variety of options for handling incremental data, such as change tracking (CT) in SQL Server - I've not found many other products that do. Many support change data capture (CDC) which Hevo does too, but CT is more lightweight and is a good SQL Server option. Hevo supports it but few others do. Review collected by and hosted on G2.com.
It would be nice if we could file pipelines under folders or categorise them in some way. It would also be great if we could duplicate pipelines. Let's say we have a bunch of source databases with the same schema and we want to do the same thing to all of them, with a different table prefix when they land in the destination. It would be awesome if we could manage pipelines at scale like this.
However, the biggest thing I dislike is, sadly, Hevo has a limit. It won't stop you mass-creating pipelines but there are only so many it can handle before it can't keep up with schedules. Review collected by and hosted on G2.com.
Hi David, thank you for your kind words. I really appreciate your feedback. As of now, more real-time ingestion is available for streaming events from databases and webhooks.
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