Resend Uses Estuary Flow for Internal Product Analytics and Fraud Detection
Resend adopted Estuary Flow to streamline internal product analytics and reduce operational overhead. By replacing unreliable batch pipelines with a more durable streaming setup, they gained timely insights into user behavior and improved their ability to monitor for fraud, without burdening their primary database.
Results at a glance:
- Improved analytics reliability: Gained consistent access to user behavior data for faster, more confident decision-making.
- Reduced operational costs: Eliminated costly backfills and lowered Snowflake compute expenses.
- Streamlined data workflows: Replaced fragile batch pipelines with a stable streaming solution requiring minimal maintenance.
About Resend
Location
San Francisco, CA
Industry
Email Infrastructure
Goals
Improve internal product analytics, reduce pipeline maintenance costs and streamline data movement.
Resend is a SaaS company that provides an email solution for developers. The platform enables users to send transactional and marketing emails through APIs, focusing on easy onboarding and developer-friendly integration.
"Estuary Flow transformed how we operationalize our data for fraud, security, support, and beyond.. Instead of unreliable, expensive backfills, we have real-time visibility into platform activity. The proactive support and hands-on approach make all the difference."
Jonni Lundy, COO, Resend
The Challenge
As Resend’s customer base expanded and the platform matured, the need for better operational data became critical. The team required deeper, timely insight into how users interacted with the product to improve platform performance, support key decisions, and drive faster iteration. But their existing data stack was holding them back:
- Frequent pipeline failures: Resend’s previous setup with Fivetran was unstable, breaking every couple of weeks and disrupting access to analytics.
- High maintenance costs: Each recovery backfill costs thousands of dollars, creating ongoing operational strain.
- Unreliable foundation for analytics: Inconsistent ingestion made it hard to trust the data, limiting the team’s ability to explore product and customer insights confidently.
In parallel, Resend also invests in advanced fraud detection to protect its users from spam, phishing, and misuse, for which reliable data is a must.
To address both challenges, operational visibility and security, Resend needed a more robust data infrastructure to deliver trusted product insights and power live detection systems without breaking the bank.
The Solution
Resend turned to Estuary after struggling with Fivetran’s failures. They needed a reliable and cost-effective data streaming solution to enable internal product analytics and handle fraud detection without constant maintenance.
Why Estuary Flow?
- Reliable, timely analytics: Estuary’s durable streaming pipelines replaced fragile batch workflows, giving Resend instant visibility into user behavior without costly backfills or delays.
- Lower operational overhead: By eliminating pipeline failures and constant maintenance, Resend dramatically cut costs and improved efficiency across analytics and fraud detection.
- Hands-on support and control: The team gained complete visibility into data movement and fast, engineer-driven assistance through Estuary’s Slack-based support.
Resend implemented Estuary to stream data from PostgreSQL (Supabase) into Snowflake.
With Estuary, Resend and their contracted data consultancy built a streaming data pipeline that powers internal product analytics with up-to-the-second insights into user behavior. The pipeline also enables detection of suspicious activity, replacing their previous reliance on outdated, batch-loaded data.
The Impact
Switching to Estuary Flow resulted in transformational improvements for Resend:
- Deeper product understanding: With timely access to customer behavior and event data in Snowflake, Resend can more confidently explore usage patterns, answer business questions, and iterate on the platform.
- Stable, low-maintenance pipelines: Estuary replaced an unreliable batch system with a durable streaming pipeline that consistently ingests data.
Reduced infrastructure costs: Resend significantly lowered operational and compute expenses by eliminating expensive backfills and offloading analytical workloads from the primary database to Snowflake.