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Data Integration
4/5(100 reviews)

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 & data
Features
9.2%
Reviews
8.8%
Momentum
8%
Popularity
8.4%
Overall rating based on user reviews and product dataAvg: 9%

Key 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

150+ prebuilt source connectors
Cloud data warehouse destinations: Snowflake, BigQuery, Redshift, PostgreSQL
Change Data Capture (CDC) for PostgreSQL and MySQL
Webhook-based custom API connector builder
YAML-driven configuration with CLI and GitOps support
Schema evolution detection and auto-propagation
Granular sync scheduling (1-minute to daily intervals)
Real-time sync monitoring dashboard
Role-based access control (RBAC) for teams
Alerting via Slack, email, and webhooks
Payload inspection and error log preview
Audit logging and compliance reporting (SOC 2 Type II certified)

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.

D

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.

A

Analytics Lead

E-commerce Platform

Alternatives Considered

FivetranAirbytedbt

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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