Hevo Data vs. Keboola Connection vs. Toad Data Point

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

Keboola Connection allows data to be well stored, accessed when required, and proper analytics handled in case the company requires information from various sources. Keboola Connection is fully integrated with various collaborative tools, and all of the needs are well addressed to bring a consistent and reliable summary report. Finally, Keboola Connection is a warehouse, that is flexible, secure, and standard.

Appropriate for general querying and some DBA work. It's the universal least-offensive solution for most environments - not best of breed, but not subject to unusual/extensive requirements. It just works. On the other hand, some functionality (e.g. data import/export, snippets) are perfunctory and minimal and seem to be either difficult or impossible to automate. If you need to streamline those operations, you'll be forced to rely on third-party solutions that mostly work on top of (instead of with) TOAD.

Incentivized

• Extract
• Load
• Transform
• Support

Incentivized

• Export data into excel.
• Export data into excel using a pivot table functionality.
• Navigation between windows is intuitive and easy to understand.
• Good for SQL novices and experts alike.

Incentivized

• Support - their support teams try to be helpful, but often miss the mark
• Error logging - we've run into a few issues debugging errors and limited support is provided by Hevo

Incentivized

• The workflow is a relatively new feature. Quest is adding additional functionality and the workflows are useful now.
• Would be nice if the 'Automate' feature was a bit easier to use.
• Would be nice if some of the SQL Editor features in the traditional interface worked better in the new workflow interface (although, these are being fixed with each release).
• Would be nice if there were fewer releases.

Incentivized

I find Toad Data Point easy to use for both the novice and the experienced business analyst. If all you desire is to access data and create spreadsheets...this is a snap. Toad Data Point actually has cool data analysis features built into it. The newer workflow interface makes automating steps a snap

Incentivized

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

Although Toad and UltraEdit are both great products, from an SQL standpoint Toad is a much better editor and troubleshooter.

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

• It is the least common denominator - not particularly optimized for our environment or workflows.
• Hangs or slowdowns add anywhere from 5% - 7% for projects utilizing large/complicated data setts. (This could be due to other IT-imposed constraints and not entirely due to TOAD.)
• Trying to perform some operations requires reading documentation and experimenting in order to figure out the TOAD-specific approaches and commands.
• It just works (when we understand it). Updates don't break things and things don't suddenly start behaving differently. Best of all, we don't mysteriously lose functionality.

Incentivized