Hevo Erfahrungen

Easy to use, almost "set and forget" data loading

API data that requires authentication to load, but I haven't found another tool that does this either (we had to custom code a solution.

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

The tool can get better in documentation and video tutorials.

I really like how intuitive it is to build a new pipeline and get data flowing from an API into a destination database - in our case Azure SQL.

I don't like that REST API calls that yield the same data are not considered "historical" from a billable event standpoint.

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.

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.

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

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.

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.

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.

Nice product to use for data extraction and ETL

No cons at the moment for Hevo based on my useage

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.

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

streaming feature we need to inject real time data from kafka

Great Customer Support in case of problems

It is quite expensive per row so the quality of the support really matters.

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.

Hevodata has been one of the easiest data pipelines integration that I have used. It’s very easy to get started and setup your pipelines.

The web UI is still a bit buggy and the logs need to be more verbose. It is very difficult to figure out why, if any, issues are there with your data pipeline.

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.

Hevo helps our team set up our pipeline in the most simplistic way possible

The price is a bit on the expensive side, but the features they offered are good