Their Pitch
Stitch and Qlik. One Vision.
Our Take
It's a data pipeline service that automatically moves data from apps like Salesforce into data warehouses without you writing code. Think of it as a conveyor belt for your scattered business data.
Deep Dive & Reality Check
Used For
- +**Your team spends 15 hours/week manually exporting data from Salesforce, Google Sheets, and 8 other tools** → Stitch syncs everything automatically to your data warehouse hourly
- +**Your custom data scripts break whenever APIs change and nobody knows how to fix them** → Stitch handles API updates and monitoring, alerts you when something's wrong
- +**Your BI dashboard is always 3 days behind because data updates are manual** → Fresh data flows automatically, dashboards update in real-time
- +Handles 140+ data sources in one interface - no coding different connectors for each tool
- +Incremental updates only sync new data - doesn't re-download your entire Salesforce every time
Best For
- >Your data is scattered across 20+ tools and analysts are drowning in manual exports
- >You tried building custom pipelines and they break every weekend at 3am
- >Budget under $90k/year and no data engineers on staff
Not For
- -Teams under 50 people with simple data needs — you're paying for enterprise features you'll never use
- -Companies needing complex data transformations — Stitch does basic cleanup, not heavy processing
- -Anyone wanting phone support on standard plans — you're stuck with email tickets when things break
Pairs With
- *Snowflake or Redshift (where all your data lands after Stitch moves it)
- *Tableau or Looker (to actually analyze the data Stitch delivered)
- *dbt (for complex data transformations that Stitch can't handle)
- *AWS S3 (as the data lake destination for file storage)
- *Salesforce or HubSpot (common data sources that feed into the pipeline)
- *Slack (where you get alerts when data syncs fail)
The Catch
- !Standard plan has no phone support, so when your CEO's dashboard breaks on Friday, you're waiting for email responses
- !It's great for moving data but terrible at transforming it - you'll need another tool like dbt for complex calculations
- !Pricing likely scales with data volume, so your costs can jump unexpectedly as you grow
Bottom Line
The training wheels for data pipelines - connects 140+ sources to warehouses automatically, but you'll outgrow it once you need custom transforms.