gathr.ai vs. Hevo Data

1. For ingesting multiple data sources to multiple data emitters. 2. Creating ETL pipelines in easier manner. 3. Easier to collaborate with multiple products. 4. No manual efforts, as it provides drag and drop feature for creating and maintaining data pipelines. 5. Easy to play with structured and unstructured data and schemas.

Hevo Data is professionally sound in data management and credible analytical processes, where there is proper sourcing and data connectivity, from the different sources. Further, Hevo Data brings huge transformation and analytical approaches, which increases the viability of every operation in the company, and results are credibly issued. The integration that Hevo Data provides is comprehensively sound, and it gives quality coordination.

Incentivized

• 5 Minute Sync with Salesforce
• Transformations
• Auto Schema Mapping
• Push to Salesforce

Incentivized

• If we are getting data from other sheets then sheet which is connected to Hevo Data doesn't updates in real-time.
• Hevo Data change time in it's workbench on its own. For e.g. If our database timestamp is in UTC format then Hevo Data will automatically change the time to IST but if I run the same code outside the Hevo Data workbench then time is still in UTC. This creates lots of confusion while working on Hevo Data.

Incentivized

The interface is intuitive, and the prebuilt connectors eliminate a lot of complexity

1. Cost efficient 2. Creation of automated pipeline 3. Can load data from multiple data sources 4. Updates data in near real-time - We were able to get near real time insights from the data model which we have created in hevo 5. It has good integration with different BI tools

Incentivized

• Increased Time
• Decreased Failures
• Increased User Happiness

Incentivized