Devart Excel Add-ins vs. Fivetran vs. Hevo Data

Devart Excel Add-ins is really good for data comparison of one database table against another database table. There are plenty of times where the business users need help understanding with their Power BI data models are not connecting correctly and I use this tool to break down the differences between the tables they are trying to connect.

Incentivized

Fivetran's business model justifies the use-case where we require data from a single source basically a lot of data but if the requirement is not on the heavier side, Fivetran comes to costly operation when compared to its peers. Otherwise, I'll recommend Fivetran for stability and update and seamless service provider.

Incentivized

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

• Devart Excel Add-in supports connectivity with various databases - which really helps to customize and massage data.
• Since data is available in cloud, it is easily accessible everywhere.
• It can also be integrated with SSIS components making it possible to resolve complex problems.

Incentivized

• Easily connects to source data using delivered connectors
• Transforms data into standard models and schemas
• Has very good documentation to help quickly setup connectors

Incentivized

• Extract
• Load
• Transform
• Support

Incentivized

• The data pump feature breaks sometimes
• The profile usage monitoring is slow
• The event profiler is delayed

Incentivized

• Very difficult to get connectors enhanced if a specific needed object is not supported by them
• Depending on the edition needed and the data volumes, can get quite expensive

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

Very easy and intuitive to setup and maintain as there usually are not that many options. Very well documented (e.g. how to setup each connector, how the schema looks like, any specific features of this connector etc.). Also the operation is intuitive, e.g. you have status pages, log pages, configuration pages etc. for each connector.

Incentivized

It runs pretty well and gets our data from point A to point cluster quickly enough. Honestly, it's not something I think about unless it breaks and that's pretty rare.

Incentivized

Devart Excel stacks up very well against its alternatives. It has significant advantages as it keeps getting an update. Features are very much suitable for smaller organizations. For larger organizations the features cannot be used directly because of the size of the company and more native requirements of IT software requirements.

Incentivized

We never seriously considered using anything else. Our data engineers had used Fivetran extensively in previous roles so when it came time to make a decision, there wasn't much of a process. They gladly signed the contract with Fivetran pretty quickly.

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

• The data compare option saves our dev team a lot of time
• The documenter feature is nice to use for explaining table definitions
• The event profiler is great for usage metrics

Incentivized

• It has been very positive in serving BI team with new source requests
• It has been OK at scaling to match as data volumes as source data size grows

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