It was very easy to sign up and set up Facebook to BigQuery. The user UI is easy to use and step-by-step instructions are included. You don't need a dev to get things moving as long as you're passingly familiar with Facebook and BigQuery and can read directions.

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.

Hevo Data saved our company in more ways than one. For the bi-directional Hubspot features alone, this tool is worth the cost for us, hands-down. We were able to pull all of our Hubspot data into our data warehouse, annotate, and push back to custom properties and objects. The tool worked so well, we began using it as the core ETL connector for our data lake, and are testing as our scheduled task manager for the core transformations for our data warehouse. The pricing model has worked out well for us. The free trial to prototype how the thing works, and how we could be efficient with our usage of connectors, has also been wonderful.

THe list of connectors is really good, but not 100% where we wish. In addition, migrations from one tool to another (e.g. Intercom -> Hubspot) require us to do a bunch of manual mapping that is hard; other tools have these mappings canned and are therefore easier to use for that use-case.

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

The tool can get better in documentation and video tutorials.

My experience with Hevo has been great so far. I'm able to setup most connectors on my own but when I run into trouble, they're right there to help out!

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.

Hevo was the ideal tool that I needed to bootstrap our data infrastructure. As the person who set everything up I am very satisfied with them and hope that this will be a long partnership.

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.

Absolutely great. In terms of service itself, reliability, customer support.

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.

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.

Overall the experience has been quite smooth so far. The support provided was great and the initial setup was simple.

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.

Very Pleasing. I set it up once and I don't have to worry about it again.

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.

Connectors, automapping and ease of use overall.

Missing ELT(Activate deprecation), our use case was something around pushing data into s3 and salesforce.As per my knowledge, hevo used to support s3 as destination via pipelines and salesforce as target via activate. This is no longer supported, it would have been useful if it weren't deprecated.

Ease of use: Hevo's UI is very intuitive and easy to learn. With couple of clicks we can easily build scalable pipelines. Data Transformations: We can write our transformations in python. Hevo also provides out of the box flattening of complex nested json which is very handy while building Mongo pipelines. Quick and efficient Support: Hevo Support team are quite reachable and always ready to help us solving critical bugs and errors.

Alerting could be much more precise and intelligent.

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.

Able to get the data I want, in the format I want, to do the business analysis required

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.

It has been excellent with some of the improvements which I have suggested already

It is really seamless and easy to use. documentation is there to troubleshot at each step

Pipeline orchestrationHosting of S3 buckets

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

Hevo has been exceptional for us to scale our data warehouse from 0-1. We have barely faced issues with hevo and whenever we have, hevo support has always quickly helped us solve issues. Onboarding new pipelines is very easy to do and negligible dev effort is required.

Ease of building new pipelines and replay queue

Few features are deprecated in updates (eg. JSON parsing strategies). While this is understandable due to performance optimisations, whenever this happens, dev time increases.

almost very very good