Avis clients sur Hevo

I like how easy - almost trivially so - that it is to get started with Hevo. It literally just works. The team have made it really simple to start, and include a free trial. Also the support team are excellent. It has great documentation as well so you can synchronise easily from a wide range of sources and destinations.

Some things aren't as polished as you'd like. For instance, you can't categorise pipelines or sort them into folders. You simply have a huge list. Also, there's no easy way - without programming it yourself using the Hevo API - to manage pipelines in bulk. Let's say you have pipelines for similar databases with the same structures; you have to manage them by-hand, individually, or you have to make your own tools.

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

The tool can get better in documentation and video tutorials.

Hevo is very easy to set up (the whole process is self explanatory) and has a lot of integrations. It also allows for a lot of flexibility with Rest API and Webhook integrations.
The UI is very well tought out and the whole product feels professional.
I should also point out the Consumer Service, which is great and very helpfull. I get answers every time I talk to them, and I feel my problems are being taken seriously.

Hevo doesn't allow precise control of the Ingestion and Loading frequency and times. You can only choose a frequency or specify certain times, but even this one is limited to a certain number of runs.
This is our only limitation with Hevo right now.

Simple and effective hassle free table syncing between Cloud VM SQL Server and Snowflake DWH.

Getting Hevo white listed with other vendors such as FTP sites is the first big hurdle.
Sometimes I'd like to have it sync a view from my source system but it struggles with this. Instead I make it sync the source tables of the view.

It has suited all our needs.
- The most critical part was reading Oplog from production MongoDB replica.
- Cleaning PII and sensitive data on the fly before loading to DWH
- Wide range of sources and even Webhooks (any arbitrary source)

I might only add Hevo is constantly evolving.
I participate in proposing new useful features from my PoV.

The GUI is very user-friendly and the support has been great! When setting up a connector, the tips on the right-hand side of the screen are fantastic. For instance, when setting up a new destination in Snowflake, the script to create the role, database, etc are supplied there. You just have to change the names. I've reached out to their support team a few times now. The chat box is helpful to get started and they're very responsive. I've never waited more than 5 minutes for an initial response. If the case escalates, the response is equally impressive. The answers are clear and they're extremely friendly.

It took me awhile to figure out how to change the destination table when using an API. It defaults to the table name 'API', which isn't helpful when you're setting up multiple API feeds to the same destination. Once I figured out how to do it though, it wasn't a problem.

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

Usabilidad, suppport, UX. Not need training

Maybe will be better to have a low cost plan

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.

Ease of usage
Very good customer support

Can improve the documentation for the newly added features.
Example : REST API Source

Extremely Easy to build pipelines from various data sources. Easy to debug and resync in case of failures.

L2 Documentation for certain data sources seem to be a bit outdated.

Hevo solves most of the things, specially the customer support is Fantastic

I wonder if they have knowledge information support via video with documentation part.

Customer Support, ease of integrating new sources.

Can't edit the slack notifications with salutations.

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.

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.

Creating new data pipelines in Hevo is very easy and super fast. We need to just give connection details and boom!!! pipeline is ready to use within minutes.

Hevo should give detailed information about each run like when did exactly it start and end to calculate the overall time taken.

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

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 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.

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

Hevo allowed me to set up an ETL without having a coding (python) skillset. I was able to connect spreadsheets to my DB preventing me inputting by hand or contracting out the ETL development.

Customer service was awesome!

I imagine I might find some cons as I continue to use the software, but I don't really have any yet. May more options for data types in the destinations???

Simple interface. Fast customer service.

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

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.