Fivetran vs. Informatica Intelligent Data Management Cloud

[Fivetran is] very well suited when you are using popular and common data sources, such as the major ad platforms, and SaaS platforms such as Salesforce. If the majority of your data sources are custom internal applications or databases, may be less value as you aren't leveraging the delivered connectors.

Incentivized

Informatica Cloud is an excellent tool for freeing up trapped data in your internal systems and exporting it into a cloud data warehouse or SQL container. Especially if you have any internal SQL query generators that allow you to copy and paste into the Source setup. For example, we use Business Objects internally, and you can build out the query you need inside the firewall with that, then paste it into the query within Informatica Cloud while establishing the Source connection. This way you are not writing all your source parameters by hand, cutting new jobs setup time by 50%. Where Cloud will not suit you well is if you need significant visibility to the health of the system from a tracking, monitoring or error handling standpoint. Cloud will tell you it failed, maybe give you an example error, but has no further troubleshooting or diagnostic assistance to offer.

Incentivized

• Simplified ETL from a wide range of data sources
• Stable and painless data pipeline
• Granular control over what parts of the data source are loaded

Incentivized

• Informatica Cloud is a great tool for automating data imports. Raw data files can be scheduled to run at designated times, and using pre-built mappings ensures that the data goes into the system accurately each time.
• It is also a great tool for converting raw data into specific formatting. For example, configuring the mapping so that the first letter of a first, middle or last name is always capitalized.
• Additionally, Informatica Cloud has a built-in field-matching tool so that records that already exist are updated rather than having duplicates created.

Incentivized

• Doesn't include support for a Kinesis stream as a data source so couldn't be used for some use cases under consideration
• Doesn't support the use of "BEFORE DELETE" triggers
• No support for serverless Aurora

Incentivized

• The User Interface can be a bit difficult to get in initial stages.
• Error messages are hard to understand which sometimes takes a lot of time for the resolution
• Cannot Implement complex SQL queries which should be fixed in future release.

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

I've never had trouble getting into contact with Informatica's support for technical help. I give it a nine because it does pretty well for mid to enterprise-scale workflows.

Incentivized

Fivetran came well with the connectors' availability and updates with the source changes. We had an idea on data requirements in our case which helped us to work out on cost implication and take a decision for Fivetran as a data provider for our organization. These were 2 places where Fivetran out-performed, other vendors.

Incentivized

Having used SQL Server Integration Services (SSIS) in the past, Informatica Cloud was a huge-step up in functionality, usability and performance. Hands-down, Informatica Cloud is a much more robust product overall. While SSIS is well-suited for specific instances (i.e. SQL Server-specific implementations), Informatica Cloud is a much better product as an overall integration/transformation tool.

Incentivized

• Saved a lot of manual development days (unable to quantify)
• Accelerated the time to add a new source to the data warehouse a lot

Incentivized

• A positive impact is bringing more projects.
• Getting data out of various systems such as Salesforce.com or FTP and consolidating it into tables in one central database.
• Having the ability to run data transformation tasks (the equivalent of batch jobs in SF or stored procedures in SQL) on a schedule without consuming those resources on the target or source systems.

Incentivized