Hevo Reviews

ease of use, lot of end to end management is done by the platform.

could be more enhanced, still in early stages from what I see on the platform.

Usabilidad, suppport, UX. Not need training

Maybe will be better to have a low cost plan

The built in database/system connectors and simple GUI interface made it simple to have running in minutes.

We have had a small learning curve bringing query models into Hevo. Nothing crazy and we Hevo support (chat engineers) has almost instantaneous response times.

We can integrate source data into data warehouse in a matter of minutes which was unthinkable few years back. Hevo has lot of connectors that we can get source data and ingest into the data warehouse

Transformation and lineage can be little better

very easy to set up. Covers 95% of cases and with python you can cover another 4%... just 1% left that you can do at source or destination.

lack CI/CD tools to do infra as code. Hard (if even possible) to back it up. Not useful logs.

Hevo supports a lot of connectors, plus ease of integration with them and a nice documentation to self configure it

Sometimes it lags a lot in the case of the Postgres replication slot, it should be fixed, also there should be notifications on slack in case an OLTP to OLAP pipeline lags more than the threshold.

No coding is the best and all file formats are available to integrate

There is no custom email notification. I receive ETL summary everyday for all the pipelines.

Easy to use, even for a novice. You can have your data being aggregated from various sources, and dumped into a DB of your choice - Allowing you to get going on building reports FAST!

The Trial period could have been a little longer than 7 Days, I would have preferred a month (I did manage to get a further 7 day extension on the trial though).

As an ETL, you couldn't ask an easier tool to set up and test than Hevo. This is great for quickly checking if it'll work for your goals. All processes are transparent and if something seems amiss you can get a handle of a very helpful customer support quickly.

There are some advance features for data handling that seem to be still in development. Overall, it might not be the tool for you if you have a very strict or complicated workflow.

Ease of use, UI is easy to grasp and understand.

Nothing major comes to mind. Faced am issue recently but the customer support helped with the resolution in a satisfactory manner

Simple interface. Fast customer service.

Auto mapping sometime acts up, but customer service is very helpful and fixes it.

I used Hevo to pipeline data from Facebook into Big Query. The service worked as expected and properly transferred my data. It was one of several services I evaluated for our data pipeline needs.

I had some integration needs that HEVO did not include, so I had to go with another provider who included those. Otherwise, HEVO was amongst my top choices.

I really like the ease with which you can deploy the tool

The tool can get better in documentation and video tutorials.

Ease of use to connect to 3rd party sources. Documentation explains very well how to connect to 3rd party sources and provides useful ERD diagrams.

Would like a more functional scheduler and would like a pipeline for JIRA Service Desk.

The customer service is great, they were always ready to help, very kind. Great sources opinions, to integrate with and to use as destination.

It can be complicated to make a pipeline with some specific source and it doesn’t seem to have an easy solution to fix the issue.

Ease of setup Cost Quick ingestion times Ability to connect to multiple sources Transformations

High CPU usage on our Amazon Aurora PostgreSQL server.

Extremely Budget friendly, many connector s and destinations, easy to use and good support

Sometimes, the transformations from the raw connectors can be a bit confusing and it requires heavy understanding of the source. But that's expected.

Hevo's interface is simple to use, while powerful at the same time. From our tests so far the pipelines work reliably and performantly, and the transformation tools (offered both in a visual manner or through custom Python code for more advanced workflows) are quite useful. The customer experience and support provided is great.

I seem to be unable to apply new transformation rules retroactively. That would be an important feature to us as sometimes new fields need to be masked or hidden but were already ingested into the destination.

Previously, we were using Fivetran. With Hevo, we get better features for a fraction of the price.

Honestly, I don't have any complaints. Their support is awesome and any issues that I have had, have been resolved within hours.

Hevo offers a fair pricing model with competitive features, along with a seamless data integration experience that complies with many data privacy groups. The ability to transform data using python code, auto map object data, and do this all in a user-friendly interface is wonderful. Hevo also ensures pure privacy with data which is vital when using cloud storage integrations.

There was not much to dislike about the software.

1) Self serve product with super UX - we were able to start our pipelines by ourselves within a day 2) Detailed documentation for every source / destination with appropriate up-to-date references 3) Was impressed by the overall speed - after submitting a job to queue, it picks up the job almost immediately 4) Transformation supports Python which is great, data can be manipulated by custom scripts 5) Full visibility and control over the entire pipeline 6) Schema mapper is great, auto-mapping works for most of the use cases. Manual mapping is also possible. It shows and asks user to confirm what query it is going to execute at the destination, which is good 7) Workbench available to run queries at the destination, custom data models available to create "views" from destination tables

1) Didn't quite like the limit on number of sources in plans 2) Schema mapper doesn't have an option to change column types at the destination

The things which I most like about Hevo is the automation level in the product. Hevo will take care of everything from source mapping to destination mapping with just a few clicks. It has many useful features, be it table/column auto-mapping , resizing and basic transformations for complex data sources like Mongo where you want to flatten the nested data.

Alarm feature can be little more intuitive.

Very simple and intuitive process to set up data pipelines. Customer support is very helpful in times when I get stuck. The existing features work without any hassles.

No major cons this far. Custom alerts would be an interesting feature.

The best thing I like about Hevo is the ease of use and the integrations that are avaialble for multiple sources, which makes the ETL seamless.

In Schema Mapper/Overview tab in each pipeline, an option to skip muliple collections at a time using a check box might be a good feature which will be very helpful for us, otherwise its now taking lot of manaul effort to skip them if needed in a pipeline.

Hi Nishanth, Thank you for your feedback! About your feature suggestion, our product expert will get back to you to discuss the suggested feature in detail.

Hevo is extremely user friendly and very seamless. Data pipelines can be set in a matter of a few clicks. Our business users are extremely happy with all the data at their disposal for any analysis that they need to do. Hevo's support is very prompt and always available to answer your queries.

When we had started using Hevo 2 years ago, there were only a few sources available. However, I see more and more new sources getting added every month.