Build workflowsyou can see.And share.
Drag sources onto a canvas. Connect them to destinations. Watch your data flow in real-time.
Visual workflows that
actually make sense
Drag, connect, run. No YAML files. No deployment pipelines. Just results.
Visual Canvas
Drag sources and destinations onto a canvas. Connect them with a click. Watch your data flow.
Developer Power
Visual tools for common tasks with advanced options available. Never hit a feature ceiling.
Team Collaboration
Entity-based permissions and complete audit trails. Multiple team members manage pipelines safely.
Data Integrity
Complete lineage, duplicate prevention, and source sync with dual-record architecture.
Where this is going
Next up: sources like Gmail, X, HubSpot—the places where your actual business conversations happen.
And AI agent nodes that can use everything upstream as context.
Imagine: pull your recent support emails, join with customer data from your CRM, and have an AI agent summarize patterns or draft responses—all in one workflow you can see and tweak.
Workflows that connect your business data to AI that actually understands the context.
Connect to everything
Pre-built connectors for the platforms you already use
Need a custom integration? We'll build it for you →
Frequently Asked
Questions
Everything you need to know about Flywheel
Why not just write Python scripts to sync data?
You could - and that works for one simple integration. But then you maintain it. Every API change, every schema update, every error requires debugging. Most startups have 5-10 integrations, which means weekends spent on pipeline code instead of building product. Flywheel handles all that maintenance so you can focus on what makes your startup unique.
Can't I just use Zapier for this?
Zapier is great for workflow automation - like sending Slack messages when a form is submitted. But for data warehousing, you need schema mapping, bulk syncs, deduplication, and transformations. Flywheel is purpose-built for data integration and analysis, not simple trigger-action workflows.
What are canonical data records?
Canonical records are normalized, deduplicated versions of your data from multiple sources. Flywheel maintains both the original external records and canonical records with bidirectional links, giving you complete data lineage and a single source of truth. This is critical for data quality, auditing, and compliance—and it's unique to Flywheel.
What happens if I exceed my tier limit?
We use soft limits with friendly warnings. At 80% of your tier limit, you'll get a warning notification. At 100%, you'll get a critical alert. We won't block your pipelines—you have time to upgrade or optimize your usage. This is different from competitors who may hard-block your data flows.
Can I use custom transformations?
Yes! Flywheel supports powerful JSONata transformations for complex field calculations, conditional logic, and data enrichment. You can also use cron expressions for flexible scheduling. This gives you much more control than basic auto-mapping tools like Hevo, without requiring you to write dbt models.
How long does it take to set up?
Most teams are syncing data within 1-2 days. Our visual wizards guide you through connection setup, schema mapping, and scheduling. For standard integrations (Salesforce, Postgres, BigQuery), you can be up and running in under an hour. No 6-month enterprise implementations required.
Is this really free? What's the catch?
Yep, really free - 10,000 rows per month with all features included. No credit card required, no trial expiration. The “catch” is that you'll eventually need to upgrade to Pro (1M rows/month) as you grow. But 10K rows is enough for most early-stage startups to get started and validate value.
How is this different from hiring a data engineer?
A data engineer costs $150K+ per year. Flywheel starts free and Pro is $99/month ($1,188/year). Use Flywheel until you need real-time streaming or 50+ data sources - that's when you hire a full-time engineer. Most early-stage startups aren't there yet.
Ready to build your first workflow?
Drag. Connect. Run. Your data flowing in minutes, not months.