CData DBAmp vs. Fivetran vs. Hevo Data

Well suited as an inexpensive tool as "middleware" between your on-prem or hosted SQL Server. Not sure how well it will translate to cloud-based SQL as a platform (Azure SQL) as it relies on linked servers. This tool only applies to Salesforce CRM - not Marketing Cloud. For writing back to Salesforce we did run into Salesforce resource limitations when extensive triggers existed on the objects.

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

• Connects & Links to Salesforce CRM databases - including custom objects.
• Built in procedures to create copies of the database on SQL Server.
• Built in procedures to Add, Update, and Delete data within Salesforce CRM.
• Great Technical Support.

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

• Because it uses Linked Servers, not sure how this will work in Azure SQL.
• Replicated tables are based on user security - this means you have to pay for a license to set this up.
• There is no built-in function to skip tables or fields on secured tables. This has to be done on the CRM side for fields and we built a function to skip tables in the replication logic.

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

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

• Enabled automated marketing segments which enabled automated email series.
• Helped us solicit donations for the right amount at the right time.
• Helped us take on new marketing and fundraising campaigns without adding staff.

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