Stitch
Stitch is a cloud-first ETL platform designed for engineering teams that need reliable, scalable data ingestion from 150+ sources (including Salesforce, Stripe, Google Ads, and PostgreSQL) into modern data warehouses like Snowflake, BigQuery, and Redshift. With over 3,500 active enterprise customers--including companies like Shopify, Twilio, and Asana--Stitch processes more than 2 trillion records monthly with sub-5-minute median sync latency for high-frequency SaaS connectors. Users praise its declarative configuration UI, CLI support for GitOps workflows, and automatic schema evolution handling (e.g., adding new columns in Salesforce objects without breaking pipelines). It supports CDC for PostgreSQL and MySQL, custom JSON API connectors via Webhooks, and granular replication scheduling (down to 1-minute intervals for critical sources). Stitch's monitoring dashboard provides real-time sync health metrics, error logs with payload previews, and Slack/email alerting on failures. While not a transformation tool, it integrates natively with dbt Cloud and SQL Runner for post-load processing. Support response time averages under 2 hours for paid tiers, and 99.95% uptime has been maintained for 24 consecutive months per SLA reports.
Starting Price
From $120/mo
Rating
4/5
Reviews
100
Category
Data Integration
SW Score
Powered by verified reviews & dataKey Advantages
- Supports 150+ prebuilt connectors with zero-code setup
- Sub-5-minute sync latency for high-frequency SaaS sources like Stripe and HubSpot
- Automatic schema evolution--new fields added without pipeline interruption
- Git-integrated config management via Stitch CLI and YAML definitions
- Real-time sync health dashboard with payload-level error visibility
- Native dbt Cloud integration for transformation orchestration
- SLA-backed 99.95% uptime with <2-hour enterprise support response
Potential Drawbacks
- No built-in SQL-based transformation layer--requires external tools like dbt
- Limited UI-based data filtering; advanced filtering requires custom SQL or API configuration
- No native reverse ETL capabilities (e.g., syncing warehouse data back to CRMs)
- Custom connector development requires Python SDK and engineering resources
Key Features
Best For
Ideal for mid-market to enterprise engineering teams managing centralized analytics stacks who prioritize operational reliability, version-controlled pipeline infrastructure, and rapid onboarding of new SaaS data sources.
What Users Say
“We cut connector dev time from 3 weeks to under 1 hour per SaaS app--Stitch's YAML config and webhook support let us version-control everything in Git.”
Data Engineering Manager
FinTech Co.
“After migrating from custom Python scripts, sync failure rates dropped from 8% to 0.2%, and our team now manages 42 sources with just two engineers.”
Analytics Lead
E-commerce Platform
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Ready to scale with Stitch?
Pricing is tiered by number of active sources and monthly replicated rows; free tier includes 5 million rows/month and 5 sources.
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