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

If you need an easy way to bring some data into your data warehouse, I definitely recommend going with Hevo. They are a great value, have good documentation, and are easy to use! We have a small data team so this has saved us a lot of time versus developing custom connectors or dealing with other more complex softwares (such as Informatica, Talend, etc).

Good support. Easy to use. Basic connectors and functionality just work. We were able to quickly load several data sources to our Snowflake data warehouse to replace our previous workflows.

Some connectors are still in Beta but support is helpful in answering questions and resolving any issues. Also, some things you need to do a certain way for the connector (example - when bringing data in from S3 and FTP you need to have different events in separate folders), but I think the ease of use makes up for that versus a heavier weight software and they add new functionality often.

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.

I love hevo. Its the best no code ETL tool I have tried ever

Usabilidad, suppport, UX. Not need training

Maybe will be better to have a low cost plan

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.

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.

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 happy with the product so far, dramatically reduced the data ingestion times.

Ease of setup Cost Quick ingestion times Ability to connect to multiple sources Transformations

High CPU usage on our Amazon Aurora PostgreSQL server.

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.

very good

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!

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.

Overall, I've seen the product evolve from a beta version to a very mature one in less than a year. Our Analytics team is very happy and can sleep soundly given Hevo is doing the heavy lifting round the clock.

We have 10+ pipelines streaming a few million rows from multiple databases to a warehouse. It's very easy to use and configure. It supports all popular database types as sources and we can put custom transformation logic in the pipelines. Hevo's support engineering team has also been very pro-active and helpful throughout our engagement to date.

I think the documentation could be structured in a format of Source (e.g. MongoDB) to Destination (e.g. BigQuery) with the exact steps required to configure this pipeline. Most users would come to Hevo with this type of requirements and it would aid with discoverability.

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.

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.

Very good. It often fixes problems on it's own without intervention, and is very consistent.

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

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.

Overall I find HEVO a nice and budget-friendly ETL tool in the market with nice UI and connectors

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.

Ease of use, UI is easy to grasp and understand.

Nothing major comes to mind. Faced am issue recently but the customer support helped with the resolution in a satisfactory manner

Data is made available in minutes instead of hours as we've shifted away from the traditional ETL approach. Analysts are happy with quick availability. Support has almost always been prompt.

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.

Overall I'm very satisfied especially with the exceptional customer service always available minutes away over chat

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

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.