
They're "People-Centered" approach is what they are best known for. Through ten years as a Data Engineer, I have experienced countless tools that fed into ancient "Ticket ID" systems which is a full-on migraine for data lakes! Gladly provides us one Golden Record or a "Customer Entity". This makes my life very easy. Noon — the Streaming API is also quite solid. Currently we are directly ingesting raw events from AWS Kinesis into Redshift. It keeps data intact, no deletions. I really like the Sidekick AI as well—it provides "Intent" and "Sentiment" tags out of box, which we apply in our sentiment analysis using Databricks clusters. It's a real Cloud-Native SaaS. Review collected by and hosted on G2.com.
One of the important problems is “Schema Evolution.” Occasionally, the Gladly team changes an attribute or field and my AWS Glue Data Catalog fails because the crawler detects a mismatch. I wish they have at least a developer newsletter or something to notify us before on any API changes within 1 week. Origin — if you need to do "Batch Export" for backdata (for example 5 years) it is extremely slow. More or less, I had to write a complicated Python script with "Retry Logic" and "Exponential Backoff" logic for JSON timeouts. A direct S3 transfer option between two accounts would be amazing, 10/10 but at the moment it's a manual process. Review collected by and hosted on G2.com.
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