Their Pitch
The data layer that turns AI into ROI.
Our Take
It's data plumbing that actually works. Moves data from 250+ sources to your warehouse without breaking every time something changes.
Deep Dive & Reality Check
Used For
- +**Your Salesforce-to-Snowflake sync breaks every time sales adds a custom field** → CData detects schema changes and adjusts automatically without losing data
- +**You're doing full data reloads that eat bandwidth and take hours** → Incremental syncs move only what changed, cutting sync time from hours to minutes
- +**Your analytics dashboard shows last week's numbers** → Real-time change data capture keeps everything current
- +Handles 250+ connectors including weird legacy systems - connects to stuff other tools won't touch
- +No-code setup with point-and-click job creation - your analyst can build pipelines without bothering engineering
Best For
- >Your data pipelines break every weekend and you're tired of 3am emergency calls
- >You're manually exporting data from 5 different tools every week like it's 2015
- >Your warehouse is full of stale data because full reloads take 8 hours
Not For
- -Simple cloud-to-cloud syncing where native connectors already exist — you're paying for complexity you don't need
- -Teams wanting the cheapest option — this is enterprise-grade pricing for enterprise-grade reliability
- -Pure streaming or real-time analytics — it's built for batch syncing, not millisecond updates
Pairs With
- *Snowflake (where all your synced data actually lives and analysts run their queries)
- *dbt (for transforming the raw synced data into something your business team can understand)
- *Salesforce (probably your biggest source of messy, constantly-changing customer data)
- *Slack (where you get alerts when syncs fail so you can fix them before anyone notices)
- *Tableau (for building dashboards on your now-actually-current data)
- *PostgreSQL (for on-premise databases that need to talk to your cloud warehouse)
- *Fivetran (the alternative you'll compare this against when shopping around)
The Catch
- !No pricing listed anywhere - if you have to ask, it's probably expensive
- !Schema changes only go one way (adds columns, won't delete them) so your warehouse slowly gets messier
- !500+ organizations use it but zero user reviews or complaints online - either it works perfectly or no one talks about data plumbing
Bottom Line
The data sync tool that doesn't throw a tantrum when your source adds a new field.