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Includes 1 million free events
Includes Custom Number of Events
Creating and maintaining data pipelines on Hevo is super easy. After setting up our data stack, we were able to aggregate our data in the data warehouse from day 1 and the data accuracy was well above 99%.
After extensive research and reviewing twelve different data integration tools, we chose Hevo. We were truly surprised with the speed and simplicity at which Hevo processes our data.
Hevo is a power-packed ETL tool that provides a wide range of integrations, a powerful transformation layer and their support team is fantastic.
Our operations team uses reports & ML models to manage the warehouse network, monitor on-time delivery, and ensure seller satisfaction. And Hevo plays a crucial role in providing the most accurate, real-time, and unified data to all our business stakeholders.
When we tried Hevo, we were highly impressed with this tool due to its reliability, wide range of built-in data integrations, and the quality of customer support. Hevo exceeded in all my expectations.
Hevo’s integration with Python is very exciting for us for the credit risk team as this allows us to queue up custom scripts and retrain our predictive risk models on the fly.
Hevo is a great product. It’s easy to use, provides a range of integration with multiple types of data sources, does seamless data integration and we’ve had a great experience using it. And the best part is that it requires almost zero maintenance.
With Hevo’s automated data pipelines, we’ve not just saved a lot of time but also got the most unified, accurate and real-time data with zero data loss. Also, now we don’t have to look at the upscaling or downscaling of our infrastructure as Hevo does all the heavy lifting.
Each record that is either updated or inserted in the destination (data warehouse, database, etc.) is counted as one event.
If you have data connector that we do not currently support, we would add support for those data connectors.
You can add any number of your users to your account. No additional cost will be incurred.
A connector is one type of integration from where you want to ingest your data. You can create multiple pipelines originating from one connector.
Yes, you can create any number of pipelines from the same connector without paying anything extra. For example, you can create two pipelines reading from different Postgres databases, and it will still be counted as one connector.
Events usage above your subscription plan's quota is considered On Demand and is charged additionally on top of your Plan.