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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

Easy to setup, with the help of gui we can configure the pipeline from the different sources to the different destinations

learning curve is very low.

Any non-tech background person can also setup the pipeline very easily

It is low code or no code setup which I like the most Review collected by and hosted on G2.com.

Some plugin for destination like source and destination can be same Review collected by and hosted on G2.com.

The best part is their chat support.

If stuck at any point they'll quickly help us around till we confirm we are satisfied. Review collected by and hosted on G2.com.

Nothing as such. But i wonder if they have video recommendation for knowledge purpose. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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.

Very professional support that works practically 24/7! I also appreciate the wide selection of data sources and destinations that can be improved with ready-made transformation tools Review collected by and hosted on G2.com.

Some data sources, such as Facebook Insights, should have more aggregated data. Currently, this source has a lot of tables, and you could merge them automatically into one Review collected by and hosted on G2.com.

Cost and stability. We dont find any issue so far using it for almost 3 years. Its very reliable and hardly had any issue Review collected by and hosted on G2.com.

Support is not 24 hours so sometimes its not easy during working PST hours. But they are improving and adding new support in progress Review collected by and hosted on G2.com.

Hevo has integrations with a large number of programs and software which are used throughout industry. These integrations allow users to quickly set up pipelines of data from sources to storage banks quickly and easily. Most impressive is the automatic data identification which allows for immediate upload into appropriate data caches. Review collected by and hosted on G2.com.

Once a pipeline has been established, it cannot be edited. If a change needs to be made, an entirely new pipeline must be created. Furthermore, the numbering of the pipelines includes deleted pipelines, which can be confusing for new users. Review collected by and hosted on G2.com.

We found it reliable and capable as a ETL tool for Snowflake. Pricing is reasonable for the value it delivers. Review collected by and hosted on G2.com.

We have not been able to utilize it for all our data - costs increase for big data sync. Review collected by and hosted on G2.com.

Data flow is good. Makes it easirt to interpret Review collected by and hosted on G2.com.

Inability to capture data through some APIs Review collected by and hosted on G2.com.