Integrations

Supercharge Fivetran with Relevance AI

Fivetran is a leading data integration platform that automates the process of extracting, loading and transforming data from various sources into data warehouses.

Enhance your data pipeline with AI Agents that can derive insights and take action on your consolidated data.

Give your AI Agents Fivetran Superpowers

Fivetran automates complex data pipelines from multiple sources into a single warehouse. Relevance AI transforms that consolidated data into intelligent action through AI Agents that can analyze, predict and respond in real-time.

Real-time Data Orchestration

The agent seamlessly synchronizes and processes data in real-time for immediate insights.

Automated Insight Generation

Transforms raw data into actionable insights without manual intervention, enhancing decision-making speed.

Predictive Analytics Capability

Utilizes historical data to forecast trends and behaviors, empowering proactive business strategies.

Tools

Equip AI Agents with the Fivetran Tools they need

Relevance AI gives you access to a wide variety of Fivetran data integration tools within your AI-powered workflows.

Security & Reliability

The integration leverages secure OAuth authentication, ensuring only authorized workflows access your Fivetran data. Relevance AI manages API operations seamlessly in the background while handling authentication tokens, request formatting, and rate limits automatically.

Built-in data validation and transformation capabilities ensure reliable syncing between Fivetran and your connected systems.

No training on your data

Your data remains private and is never utilized for model training purposes.

Security first

We never store anything we don’t need to. The inputs or outputs of your tools are never stored.

To get the most out of the Fivetran + Relevance AI integration without writing code:
  • Configure data sync settings: Set appropriate sync frequencies and table selections in Fivetran.
  • Use proper authentication: Ensure OAuth credentials are correctly configured for secure API access.
  • Monitor transformations: Regularly check data transformation logs for potential mapping issues.
  • Implement error handling: Set up alerts for failed syncs or data quality problems.
  • Optimize API usage: Structure API calls efficiently to stay within rate limits and reduce latency.