CloverDX vs. Stitch from Talend

CloverDX designer as a standalone is well suited for fairly straightforward transformations of data. If you want to do large scale data integrations, then their server edition adds an extra level of automation and job control.

Incentivized

Stitch is very cheap and useful for small to medium size companies to ingest data from common apis/platforms in a quick and cheap way.

Incentivized

• Connects with Salesforce very well
• The graphical view of the transformations allows for easy creations and maintenance
• Support has always been eager to assist with any graph creation difficulties I run into

Incentivized

• Easy integration with many sources
• Extensible
• Not as expensive as fivetran

Incentivized

• The initial learning curve is a little steep. Not very steep or super steep, just a little steep.
• Having enough memory for large multi-step problems can be an issue if the graph isn't designed well.

Incentivized

• Stitch is not good at replicating document stores like MongoDB to relational databases. To be fair, this is a difficult task. Stitch flattens the objects, but the result is unwieldy.
• Stitch cannot replicate the same source to multiple sinks, which is inconvenient if you want to replicate some of a datastore's tables to Redshift and others to Redshift Spectrum, for instance.

Incentivized

While CloverDX has an active forum for users to submit questions and assist with answers, their in house support team is incredibly responsive when I've contacted them for assistance. This seems almost at odds with most other software companies who try to save money on tech support by promoting a forum or knowledge base.

Incentivized

CloverDX was a less expensive alternative to Talend and had a more intuitive interface from what I could see during the evaluation.

Incentivized

Stitch is much cheaper and probably simpler than tools like Fivetran. Stitch is for simpler projects and used alongside traditional ETL and writing ones own code into APIs. Fivetran is more of a overarching tool but also more expensive

Incentivized

• Work that use to take multiple people 20 to 30 hours a week to complete each has now been fully automated to where only 1 or 2 hours a week for maintenance is required.

Incentivized

• Freed up data engineers to work on transformations
• Bought us some time to migrate from our ETL tool

Incentivized