Fivetran vs. ibi Data Migrator

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

Supports 100% independent feature by feature comparison and covers at least 90% of [the] data integration market. Many ETL vendors try to convince potential buyers that they can do almost everything for everyone. Customers use it to make swift decisions about the best ETL tool for your situation and save time and money during the selection process.

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

• Effective enterprise information management.
• Web services deployment.
• Extracting, loading and transforming ETL.

Incentivized

• More detailed logging
• More flexible choices for time range over which records are synced
• More options for masking and excluding sensitive data

Incentivized

• Allows for key criteria selection.
• SQL generator.
• Focus language.

Incentivized

Just need to input connection info.

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

It is very straightforward to get data from multiple sources to our data warehouse with ease. Let you see visually how things flow to get an overall picture of how data is transferred to our environment. A very solid and widely used tool that makes it easier for IT workers to combine data from numerous sources to make comprehensive data intelligence integration, integration, and transformation.

Incentivized

• Development cost have reduced for each connector
• The pay-per-use model is still not out their which requires lot of overhead cost

Incentivized

• Penhato data integration.
• Open text integration center.
• SAS data manager.

Incentivized