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.

As a product analyst we signed up for a free trial of Hevo and finds the onboarding process to be straightforward. We used the built-in connectors to connect their data sources to Hevo and create a data pipeline that transfers data from their sources to their data warehouse in real-time. I appreciates Hevo's user-friendly dashboard, automated error handling, and ability to customize and monitor data transfer. After a few weeks of using Hevo, we have noticed a significant improvement in our team's ability to consolidate and analyze data, enabling us to generate reports and insights more quickly and accurately, leading to better business decisions.

Simple and Intuitive Interface : Way too easy to use .Seamless Integration with Multiple Sources : Integration with almost every possible tool. Real-time Data Transfer.Automated Error Handling and Also showing where the pipeline is failing and what is the reason behind it.

Data transformation needs to have some helping tutorial . Appending data and taking whole data snapshot should have some toggle.

Their customer support team is great with quick turnaround time.

Easy to setup and no/low code approach is what works for someone just starting with Data engineering.

reliability has been a concern with Hevo with downtimes, bugs, corner cases and missed events. It doesn't seem to work well at scale.

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.

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.

If I could give their customer service / support team 10 stars, I would. They've been very responsive and patient while I ask pesky questions.

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.

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.

Great experience with a very efficient support team.

The tool is quite intuitive to set-up and easy to set up.

Some detailed configuration may sometimes be hard to find in the platform itself.

easy interface for non-data engineers to build and maintain data pipelines.

the cost has increased steeply in the last 1 year to 3.5x.

Its an awesome product. Really very good one to get started with very little friction.

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.

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.

Hevo won our lengthy product comparison against other leading tools like Stitch Data, Fivetran, Matillion, etc. They provide best-of-breed usability, scale, reliability and latency. Their monitoring, schema mapping, error handling and replay capabilities are excellent. We are supporting near real-time reporting in a Snowflake warehouse thanks to Hevo's streaming replication from RDS MySQL.

Hevo's interface is well designed, so that it is straight-forward to set up many pipelines. Unlike other tools, they do not force us into their own standards, for example for naming tables. The service is reliable and performant, including at scale. The team also consists of nice people who have been very friendly and helpful.

We have no complaints. Hevo's MySQL binlog replication works well for us.

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.

Great customer care team.

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

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

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

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.

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

easy to use and integrate technologies, monitoring tool

I couldn't found an option to make reverse engineering

Awesome product for my simple needs. Great customer service.

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???

Easy to use Product with many features that I haven't fully explored as yet. Does what I wanted it to do allowing me to ingest data from 3rd party sources into or data warehouse.

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.

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.