Airbyte vs. Salesforce Data Cloud

I think Airbyte is well suited for any company that needs one tool that can move data from one or many sources into a consolidated warehousing solution. Even if it's just one source to target connection, Airbyte simplifies the ability to perform extract and load actions without having to get knee deep in python scripting.

Incentivized

I would recommend Salesforce Data Cloud as an 8 because it is great for keeping track of customer and sale information, it is easy to use, it is easy to generate reports and it is user friendly. However, it is very expensive and does not integrate with other CRMs well

Incentivized

• Moves data
• open source
• connection development
• Has an expansive catalog of integrated connectors out of the box

Incentivized

• Integration with other systems is really working for us. Also having models developed in Data Cloud and then use for servers, Salesforce sales and for Marketing Cloud.

Incentivized

• Logging can be a bit tricky

Incentivized

• Sometimes it can be very fidgety and you need a team of salesforce developers in order to implement the solution
• Can be expensive, but so are other providers

Incentivized

Because it is worth this, the analytics, reporting, CRM, security parameters, mobile support all make it this worth. Also, I personally believe it has high potential to grab customers attention and increase sales.

I was not at my company when we evaluated Airbyte

Incentivized

I like Salesforce Data Cloud because like mentioned before, it is easy to use, easy to generate reports, create workflows, keep track of customer data, sales data, house data, etc. You can also import excel sheets with customer data as well and it will create the fields for you which is nice

Incentivized

• Airbyte has allowed us to get away from complex python scripts and allowed us to consolidate to one tool.
• It's allowed us to cut costs and have better observability on data being moved into our environment

Incentivized

• It's been really good because for example, now we can use some of the segmentation of our clients. We have all the models running in that cloud, so it's been easier for us having this information built and having the calculation of the segments that we want to use with clients.

Incentivized