Hevo Data vs. Panoply

It is of great help for unstructured data sources. The way Hevo Data flattens the high nested data is amazing. Schema management is also good by Hevo Data. The way it's tell about the data type and then we can identify any error in the model. Additionally, It is very easy to setup for any new user and once model is created then we do not have to worry about the script maintenance and updating the script daily.

Incentivized

Panoply is well suited for companies with large amounts of data that do not want all users of the company to see or view. It is appropriate for companies that have to store data for several years in case clients need the data. It is not made to constantly be downloading or looking at the documents.

Incentivized

• Hevo is the best tool when you want to manage a large number of pipelines. With Hevo you can automate the pipelines very easily.
• Hevo's great features are automatic detection and notification of failed data pipelines.
• Auto mapping feature is also good. It's makes really easy to move the data.
• Integration is easy with so many databases like SQL, Google Sheet, etc.

Incentivized

• Ease of data integrations. Importing data into the data warehouse is a point-and-click effort.
• Automated data modeling. The data is modeled in a way that facilitates analysis without having to look into it myself.
• Query speed. Automated query optimization has really sped up our dashboards.

• Transformation
• More Sources
• More Destinations

Incentivized

• The user interface could use some improvement for analytical tools. Apart from that, it’s great.

It’s a good choice for building a quick, multipurpose data stack for a variety of businesses needs.

Much lower cost and faster syncs but not as good support. More flexible in terms of pricing, though. Fivetran requires annual contracts and is very inflexible.

Incentivized

Panoply has much more storage and better organization tools for searching. There are better folders and tools for keeping documents secure and stored for a long period of time. It is better to offload data in mass than singular or Zip drive documents like you would do in Google Drive.

Incentivized

• Comprehensive results from the data processing is a perfect approach from the tool.
• Authentic data models brings a high automation process and more productivity.
• Expansive data sourcing brings clarity and genuine results after inferential analytics.

Incentivized

• Saved time on Redshift setup
• Saved support costs (monetary and temporal) by not having to set up on-premise
• Widens the BI tool use in organization; lowers the barrier to entry and makes organization more productive in analytical terms