Hevo Reviews

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 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.

Click and Select development of pipelines.

Pricing of the product is higher than expected.

Great UI , Customer service , Chat help , easy integration , all connector available , python ytansformation

streaming feature we need to inject real time data from kafka

We have multiple pipelines and connections with almost every piece of software across our organization. Hevo makes it possible for us to keep everything up to date and helps to centralize our reporting by brining current data into our warehouse for day to day analysis and reporting.

We have very few problems with Hevo. If we have any trouble it's almost always related to our usage limits.

Ease of use, flexible, ability to query data and push the processed data into the warehouse, making all data pipeline needs completely customizable.

Sometimes has bugs which cause errors in pipelines, but their customer service is impeccable, and they literally respond in as little as minutes to solve your problem immediately.

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this software is so powerfull and easy to operating

Smooth OpLog/Change Stream based syncing is one of the strongest reasons I stick to this platform.

Transformations UI can be a bit better and more user friendly

Ease of use, clear structure, great customer support. There are many native connectors available, which is very useful.

There is a big amount of connectors available, but I feel that sometimes the quality of connectors could be better. However, when we submit feedback, the support team is very responsive and tries to implement a new feature or provide a workaround for us.

HIPAA compliance, data integrity, documentation, and support

features I miss from Stitch like column level ingestion. Ingestion and loading logs are also quite thread-bare and hard to get much information on this.

We decided to shop around for a new solution because our current provider decided to raise their prices significantly. Hevodata checked all the boxes.

When we first started out, our BigQuery costs went up, but we were able to mitigate that by changing the frequency.

We really love that fact that we can easily access 3rd party API's through the Hevo interface.

Occasionally, it happened that integrations are not working the first time you set them up. Generally, adding the pipeline again to the system does the trick. Furthermore, you can reach out to the great support crew, and they will help you resolve the issue

Ease of use, simple integration, simple transformation

facing issues with deleted or changed entries(events) in the production database, as hevo_marked_delted is not getting updated for all entries and need to connect with cx care for this.

For transform only having python 2.8, It should be of the latest version

Hevo is one of the easiest tool to get started with. Every data source we needed was present in Hevo. Pipeline setup process was also straightforward.

I believe monitoring could be improved.

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 data source - destination pipeline feature is very easy to use and takes minutes to set up using the available side by side guide

UI can be a bit improved for the transformational aspect of data

The Hevo is the one frame platform which provides complete cloud ETL features. The data integration from source to destination is very quick. The dashboard provides all the information regarding the history of migration.

The data loading speed might have been much more quicker.

Customer Support, ease of integrating new sources.

Can't edit the slack notifications with salutations.

Constantly running (real time) and the ability to customize mapping

More videos to explain detail how to use the tool

It was really easy to set up both on our Mongo Atlas and Amazon Aurora connections where other services failed.

There's no possibility to schedule a pipeline job based on a specific time of the day, eg: run this job at 01:00 AM every day

I really liked that its the only product made for non-technical users since its the only one I could install into my systems

So far I think it needs more integrations

It's very easy to use. It's a very simples and intuitive. Without code i can make a great dashboard in my company.

I don't have any difficult. It's simple to use.

Creating ETL pipelines, models and work flows.

Sometimes it seems difficult on changing the import table