Reviews from AWS Marketplace
0 AWS reviews
-
5 star0
-
4 star0
-
3 star0
-
2 star0
-
1 star0
External reviews
External reviews are not included in the AWS star rating for the product.
I have been using Hevo for a couple of months now and I can say my experience has been really good.
What do you like best about the product?
The live chat service they provide is amazing. The response time to our queries is real quick. Overall I am happy with the product and the features it offers.
What do you dislike about the product?
The ingestion time of data pipelines is sometimes much more than stated in the pipeline(mainly for updations in existing records).
What problems is the product solving and how is that benefiting you?
With Hevo, all our data sources can be handled and managed in one place. Hevo offers a variety of data sources and they keep on adding new sources with every update, so that's a Yay!
- Leave a Comment |
- Mark review as helpful
Hevo Data gets your data moving from source to destination quickly and efficiently
What do you like best about the product?
The UI is a pleasure to use; not only it looks great on-screen, but it is also very intuitive to use. The documentation is very comprehensive and a great reference to get you started with Hevo. The support team is always eager to help and has a swift first response time.
What do you dislike about the product?
Pipeline schedules could be more granular: e.g., choosing specific days/times of the week instead using time intervals.
What problems is the product solving and how is that benefiting you?
We need to collect data from dozens of sources and load them into our data warehouse. Hevo allows us to save many hours of tedious manual CSV downloads by fetching data from these sources and running our pipelines automatically.
Great product. Ease of use and UI is fantastic. Excellent value for functionality
What do you like best about the product?
Hooked up multiple RDS databases to Redshift in an hour. Great set of native connections.
What do you dislike about the product?
Have to fiddle with some of the tables that do not have the correct key structure, but that's more of an issue of design nothing on Hevo.
What problems is the product solving and how is that benefiting you?
Creating datalike for analytics.
Quick creation of the lake from multiple sources.
Quick creation of the lake from multiple sources.
How Hevo advanced features,incredible customer support made it win against their competitors
What do you like best about the product?
We did a PoC of Hevo against other tools in the same space (Fivetran, Stitch, etc.).
Hevo won regarding pricing, customer support, and advanced features such as append-only, low latency, and reverse ETL use cases.
Hevo won regarding pricing, customer support, and advanced features such as append-only, low latency, and reverse ETL use cases.
What do you dislike about the product?
It would be great if they had more connectors, although they are pretty receptive to feedback, and they are currently in the process of adopting the ones we requested.
What problems is the product solving and how is that benefiting you?
We are solving the use-case where we need to handle historical data, create slowly changing dimensions, and capture data changes in a window as low as 15 minutes.
Recommendations to others considering the product:
Just try it! It will be worth it
Dead simple database replication
What do you like best about the product?
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.
The customer experience and support provided is great.
What do you dislike about the product?
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.
What problems is the product solving and how is that benefiting you?
Replicating our DynamoDB database to Redshift so we can integrate with BI tools such as Metabase. Also applying transformation rules to mask and drop sensitive fields before ingesting them to our analysis tools.
Hevo is a one stop shop for real (or near real) time data migration
What do you like best about the product?
Data migration is made simple and intuitive without having to write one line of code.
Sometimes code is necessary for data transformation and modeling, which is made easy with built-in Python and SQL code editors.
Sometimes code is necessary for data transformation and modeling, which is made easy with built-in Python and SQL code editors.
What do you dislike about the product?
Events are counted multiple times within the migration pipeline which can drive costs up really quickly. Also, the lack of a robust primary key generator for migration of Google Sheets data necessitates extra SQL modeling or Python coding to self-generate pk's.
What problems is the product solving and how is that benefiting you?
As stated in the title of this review, HEVO has given my team a one-stop-shop solution for migrating data from various and varied sources easily with little maintenance overhead.
Hevo helped us solve our ETL needs.
What do you like best about the product?
Before using Hevo, our data solution was a mess. Reporting was inaccurate and certain integrations were just not possible. After using Hevo, we have been able to incorporate and centralize our various tools, and have gotten to explore elements of our data we never would have been able to before.
What do you dislike about the product?
There was nothing that we have come across so far that we have disliked.
What problems is the product solving and how is that benefiting you?
Before using Hevo, we did not have any data pipelines set up. We had data flowing between our various third-party tools, but none of it was organized through a centralized pipeline. Our sales data was being exported to our instance of Salesforce which was then exporting to our customer success platform which was also receiving data from our own Software. Data was being funneled in all sorts of ways, which caused a huge mess and multiple levels of inconsistency in our reporting.
The definitive ETL tool
What do you like best about the product?
Hevo is extremely quick to connect, and it has a simple plug-n-play approach that allows us to connect to many sources and start copying our data into our destinations within minutes.
What do you dislike about the product?
UI is not optimized for mobile, scheduling workflows could be a little more granular or give more options.
What problems is the product solving and how is that benefiting you?
We are running our ETL pipeline entirely on Hevo, saving on labour and time
Zero Code- Seamless Experience
What do you like best about the product?
1. Flexibility to do ingestion in the way we want
2. Customer Support in case of any issues
3. Zero Code
2. Customer Support in case of any issues
3. Zero Code
What do you dislike about the product?
1. Alerting system can be designed better
What problems is the product solving and how is that benefiting you?
-Ingestion of data from different sources to one destination
Amazing tool to perform ETL for your data
What do you like best about the product?
1. The User experience
2. The support provided
3. Most importantly the tool is so easy to use and perform complete ETL operation that helps us in moving data from one database to another
2. The support provided
3. Most importantly the tool is so easy to use and perform complete ETL operation that helps us in moving data from one database to another
What do you dislike about the product?
1. Sometimes we encounter that pipeline is stopped because of some issue and it is hard to figure out the reason, and have to contact support for the same
What problems is the product solving and how is that benefiting you?
1. We were able to move data in almost real-time from our MongoDB to redshift cluster for analytics purposes and it helped us in saving a lot of time.
showing 221 - 230