Fivetran vs. IBM Datacap

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

Once highly customized, IBM Datacap can suit any business unit and scenario. To realize accurate knowledge and insight base on business documents, I would emphasize use of IBM Datacap since it has robust OCR tool that ease document capturing.

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

• Machine learning automates document processing from external applications and sources like scanners.
• Exporting data with just a click to other content repositories.
• Redaction of data based on requester role. Therefore, we are able to block irrelevant or sensitive information based on the specification of users.

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

• Image capture through IBM Datacap mobile application hangs when machine learning is processing metadata.

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

Generally they are very good and reactive to our requests. if we find an issue our error they are quick to add a fix to the next release if needs be.

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's easier to extract data from documents for analytics, unlike other similar platforms.

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

• We have protected and safeguarded business information by redacting documents to ensure that confidential data doesn’t reach to irrelevant business users or cyber attackers.
• Business procedures automation has been enhanced by IBM Datacap as part of the Cloud pak, which eases workflow and decision management.
• Being based on modern modular, IBM Datacap allows us to pay for what we use, thus no losses are encountered.

Incentivized