Stitch pricing guide details
Pricing Overview
Stitch, now part of Qlik, uses a usage-based pricing model built around monthly row volumes. The platform offers three paid tiers -- Standard, Advanced, and Premium -- with prices ranging from $100 to $3,000 per month. All plans include SOC 2 Type II and ISO 27001 compliance, post-load webhooks, advanced scheduling, and Connect API access. A free trial is available on the Standard plan, letting teams evaluate the platform with unlimited data volume before committing to a paid subscription. Stitch charges based on rows replicated per month rather than per connector, which makes cost forecasting straightforward once you understand your data volumes. The Advanced and Premium tiers are billed annually, so teams should plan for upfront commitments at those levels. We consider this row-based model a practical approach for organizations that move predictable data volumes each month.
Plan Comparison
Stitch structures its plans around three scaling dimensions: row volume, number of destinations, and source types. Here is how the tiers break down:
| Feature | Standard | Advanced | Premium |
|---|---|---|---|
| Monthly Price | From $100 | $1,500 | $3,000 |
| Rows/Month | 5-300 million | 100 million | 1 billion |
| Destinations | 1 | 3 | 5 |
| Sources | 10 (Standard) | Unlimited (Enterprise) | Unlimited (Enterprise) |
| Users | 5 | Unlimited | Unlimited |
| Historical Sync | 7-day | 7-day | 7-day |
| Extraction Log Retention | 7 days | 60 days | 60 days |
| Billing | Monthly or Annual | Annual only | Annual only |
The Standard plan supports a sliding row scale from 5 million to 300 million rows per month, with pricing that adjusts accordingly from the $100 base. We find this flexibility useful for growing teams that want to start small and scale their data ingestion without jumping to a higher tier prematurely. At the 5 million row level, the Standard plan works well for startups pulling data from a handful of SaaS sources into a single warehouse.
The Advanced plan at $1,500 per month unlocks Enterprise-grade sources, unlimited users, and 60-day extraction log retention -- critical for organizations that need extensive audit trails and extensive connectivity. The Premium plan at $3,000 per month supports up to 1 billion rows per month and 5 destinations, making it suitable for high-volume data operations. Both the Advanced and Premium tiers require annual billing, and you will need to contact sales to finalize exact terms and any custom requirements.
All three plans include the same core feature set: notification extensibility, advanced scheduling, post-load webhooks, and Connect API access for programmatic pipeline management.
Hidden Costs and Considerations
Several cost factors sit outside the listed tier prices. Add-on rows and add-on destinations carry extra charges beyond what each plan includes, and Stitch does not publish these add-on rates publicly. HIPAA compliance requires signing a Business Associate Agreement, which is only available as a paid add-on. Advanced connectivity options -- site-to-site VPN, AWS PrivateLink, reverse SSH tunnels, and VPC peering -- are listed as add-on features across all tiers, adding cost for teams that need secure network paths to on-premises databases. We also recommend factoring in the annual billing lock-in for Advanced and Premium plans, since there is no monthly option at those levels.
Cost Estimates by Team Size
| Team Size | Recommended Plan | Estimated Monthly Cost | Key Considerations |
|---|---|---|---|
| Solo / Startup (1-5 users) | Standard (5M rows) | $100/mo | Single destination, 10 standard sources, monthly billing available |
| Small Team (5-15 users) | Standard (50-100M rows) | $300-$500/mo | Row volume drives cost; may hit the 5-user cap and need Advanced |
| Mid-Size Team (15-50 users) | Advanced | $1,500/mo | Unlimited users and enterprise sources; annual billing required |
| Enterprise (50+ users) | Premium | $3,000/mo | 1 billion rows, 5 destinations, full compliance add-ons likely needed |
These estimates cover base plan costs only. Teams requiring HIPAA compliance, VPN connectivity, or additional destinations beyond the plan allocation should budget for add-on fees on top of the tier price. For the Standard plan, moving from 5 million to 300 million rows per month changes the price significantly, so we recommend monitoring your actual row volumes during the free trial to select the right volume tier.
How Stitch Pricing Compares
Stitch occupies the mid-to-upper range of the cloud ETL market. Its $100 entry point is higher than both Airbyte and Hevo Data, but it delivers fully managed infrastructure with zero self-hosting burden and strong compliance certifications out of the box. Talend, which shares a parent company with Stitch through Qlik, targets the enterprise segment at significantly higher price points starting at $1,000 per month.
| Tool | Pricing Model | Starting Price | Best For |
|---|---|---|---|
| Stitch | Usage-based (rows/month) | $100/mo | Teams wanting managed ETL with predictable row-based billing |
| Hevo Data | Freemium | $25/mo | Budget-conscious teams needing a low entry point with managed infrastructure |
| Airbyte | Freemium / Open Source | $10/mo (Cloud) | Teams comfortable with self-hosting or wanting open-source flexibility |
| Talend | Enterprise | $1,000/mo | Large organizations needing full data fabric capabilities |
We see Stitch as a solid mid-market choice for teams that prioritize reliability and simplicity over the lowest possible price. The 130+ managed connectors and Singer-based architecture mean less time spent on maintenance compared to self-hosted alternatives. Airbyte offers the most affordable path with its free open-source option, though you take on the operational overhead of running the infrastructure yourself. Hevo Data provides a comparable managed experience at a lower $25 per month starting price but with fewer enterprise security features. Talend makes sense only for organizations that need a comprehensive data integration platform extending well beyond basic ETL into data quality, governance, and master data management.