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Easy to use ETL solution
What do you like best about the product?
- Many integrations (sources and destinations, including SQL and NoSQL solutions)
- Seamless data transformations using Python
- Ease of use while building ingestion pipelines
- Table automapping for tables where transformations are not necessary
- Multiple ingestion strategies
- Seamless data transformations using Python
- Ease of use while building ingestion pipelines
- Table automapping for tables where transformations are not necessary
- Multiple ingestion strategies
What do you dislike about the product?
- The ingestion deference feature doesn't work for every use case
- The need to create a separate data source for each SQL Server schema
- The need to create a separate data source for each SQL Server schema
What problems is the product solving and how is that benefiting you?
We use Hevo for data replication and transformation from our SQL Server database to a PostgreSQL Data Warehouse. We use it mainly for its almost real-time replication capabilities and ease of use.
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No-code, easy, fully-managed data pipeline solution which is so ahead of its competition
What do you like best about the product?
1. It comes with tons of pre-built integrations, which are easy to work with.
2. It also comes with webhook and REST api integrations which covers the rest of the spectrum.
3. Option for transformation is cherry on the top. It helps a lot when building a data pipeline from a NoSQL database to SQL database.
2. It also comes with webhook and REST api integrations which covers the rest of the spectrum.
3. Option for transformation is cherry on the top. It helps a lot when building a data pipeline from a NoSQL database to SQL database.
What do you dislike about the product?
It might be understandable, but Hevo does not store webhook events which missed to ingest due to some mistake done by the user while creating the pipeline.
Although log based events from api integrations are saved if they are missed, which you can correct your pipeline and ingest again.
Although log based events from api integrations are saved if they are missed, which you can correct your pipeline and ingest again.
What problems is the product solving and how is that benefiting you?
1. Building data piplines with very little code for transformations.
2. We try to move our pipelines from self hosted environments to Hevo for better reliability.
Hevo is reliable, easy to use, transparent for everyone who wants to check the pipeline if working properly and yeah, reasonably priced.
2. We try to move our pipelines from self hosted environments to Hevo for better reliability.
Hevo is reliable, easy to use, transparent for everyone who wants to check the pipeline if working properly and yeah, reasonably priced.
Recommendations to others considering the product:
Is you are looking for a good data pipeline solution where you have the ability to control a lot of things, then you should give it a try with Hevo.
Just Works
What do you like best about the product?
It is super-easy to set up. The automated data mapping takes care of a everything with a few click
What do you dislike about the product?
I have not discovered any issues. It works great.
What problems is the product solving and how is that benefiting you?
Hevo Data helps me to sync data from Salesforce to Potgresql. I have not found any other way that is easier.
Using Hevo to ingest data has been great so far, minimal outage and great customer support
What do you like best about the product?
The customer support has been very helpful in debugging the errors
What do you dislike about the product?
The UI has the potential to improve by showing more detailed logs on the frontend.
What problems is the product solving and how is that benefiting you?
Minimal maintenance of the Extract and Load Process, focussing on the ingested data and getting insights out of it.
Recommendations to others considering the product:
Go for it, will save lot of time.
Really good product and excellent service for the customers
What do you like best about the product?
The no code platform is really good. Anyone without knowledge on data pipelines or ETLs can make a pipeline without any help
What do you dislike about the product?
The error messages do not mean anything, they are too generic so you cant really debug the process to fix why some records are not loading. Especially in Activations
What problems is the product solving and how is that benefiting you?
Automated ETLs, scheduling of several processes to move productive data to datawarehouses and recently, moving data from datawarehouse to our CRM. Its easy and quick to develop so im being more efficient
Great product, easy to use easy to use
What do you like best about the product?
The pricing model, you have access to all connectors and you're billed by data consumption, the ease of use, the fantastic support
What do you dislike about the product?
no support for expiring tokens (I know it is in dev stage but this should've been a priority feature)
What problems is the product solving and how is that benefiting you?
Data warehousing, ETL, systems connectivity
Recommendations to others considering the product:
go for it easy, well priced and a fantastic support
It easy to setup a pipeline, and offer a bunch of free benefits (free sources, 1million events)
What do you like best about the product?
it easy to create a data pipeline in minutes. Their GUI based data transformation tool is a gamechanger. They also offer many source to use and a million event for free
What do you dislike about the product?
Experienced some unclear error message ("pipeline took longer than usual") and didn't give me any chance to improve my pipeline
What problems is the product solving and how is that benefiting you?
Uncomplicated ETL, no need to code, very useful for a non-coder such as me
Recommendations to others considering the product:
Just try it right away
Hevo Review
What do you like best about the product?
Simple UI which is very easy to navigate.
What do you dislike about the product?
The ingestion/loading sometimes stops in between. Very rare though.
What problems is the product solving and how is that benefiting you?
Easy and automated ETL.
Works wonders for small and agile teams
What do you like best about the product?
- The ease of access to the tool is the best. Hevo collates all the data pipelines in an interactive UI which enables us to monitor and figure out the broken pipelines at a glance.
- The ability to write custom snippets using a code builder / advanced python scripts is a good add on, to tame the unstructured data sets.
- The support team is prompt in response.
- The ability to write custom snippets using a code builder / advanced python scripts is a good add on, to tame the unstructured data sets.
- The support team is prompt in response.
What do you dislike about the product?
- The alerting mechanism can be improved upon, which can include the reason for the data pipeline failures.
- In some specific connectors, the data load time/buffer times more often than not, are on the higher side.
- In some specific connectors, the data load time/buffer times more often than not, are on the higher side.
What problems is the product solving and how is that benefiting you?
One huge benefit is that hevo offers a quick way to schedule and deploy data pipelines, this saves a huge amount of time that can be used to analyse the data.
The best part is the there is very low to no learning curve
The best part is the there is very low to no learning curve
Efficient multi source ingestion platform.
What do you like best about the product?
I’ve used hevo for about a year at time of writing. I have been running a very small team that at the same time had quite a few data sources to include in our ETL (mariadb, postresql, csv files, APIs, gads/msads/fbads).
Our datalake/ load area was in Bigquery.
Hevo has been very useful to easily set up pipelines between source and destination and keep this in sync.
One still runs into various bugs and mistakes along the way, but we always ended up solving them quite quickly ourselves and/or with the help of Hevo support which answers pretty quickly.
Very good value for money in my situation.
Our datalake/ load area was in Bigquery.
Hevo has been very useful to easily set up pipelines between source and destination and keep this in sync.
One still runs into various bugs and mistakes along the way, but we always ended up solving them quite quickly ourselves and/or with the help of Hevo support which answers pretty quickly.
Very good value for money in my situation.
What do you dislike about the product?
Things to improve could be more detailed instructions for how to set up different pipelines and what to keep in mind in different scenarios. An example of this was the “hevo marked deleted “ column that we missed for some time to consider its implications.
Another improvement desired is scheduled support/advise sessions and ability to split up quotas/budgets over pipelines.
Another improvement desired is scheduled support/advise sessions and ability to split up quotas/budgets over pipelines.
What problems is the product solving and how is that benefiting you?
See likes
Recommendations to others considering the product:
Make good use of the support.
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