Pipedream for Data Engineering
Automate Data Pipelines and Unlock Actionable Insights
Building and maintaining data pipelines shouldn’t slow your team down. Pipedream simplifies automation by giving you the flexibility to connect any API, database, or internal system in minutes—so you can focus on delivering insights, not maintaining infrastructure.
Trusted by 1,000,000+ developers from startups to Fortune 500 companies
Trusted by 1,000,000+ developers from startups to Fortune 500 companies

AI-Powered Data Enrichment
Raw data often lacks the context needed for deeper analysis, requiring manual enrichment or additional engineering effort. Manually gathering external insights, running AI-driven transformations, or supplementing datasets slows down analysis. With automated enrichment pipelines, you can add valuable insights to your data in real time, making it more actionable.

AI-Powered Data Enrichment
Raw data often lacks the context needed for deeper analysis, requiring manual enrichment or additional engineering effort. Manually gathering external insights, running AI-driven transformations, or supplementing datasets slows down analysis. With automated enrichment pipelines, you can add valuable insights to your data in real time, making it more actionable.

Event Streaming for Analytics
Waiting hours or days for batch data processing can lead to outdated insights and slower decision-making. Traditional ETL tools struggle with real-time data ingestion, making it difficult to react to business events as they happen. By automating event-driven pipelines, you can stream data instantly to your analytics stack, enabling dashboards and reports that reflect what’s happening right now.

Event Streaming for Analytics
Waiting hours or days for batch data processing can lead to outdated insights and slower decision-making. Traditional ETL tools struggle with real-time data ingestion, making it difficult to react to business events as they happen. By automating event-driven pipelines, you can stream data instantly to your analytics stack, enabling dashboards and reports that reflect what’s happening right now.

Product Usage Data for Customer Insights
Product usage data is crucial for customer success, but getting it into the hands of sales and support teams is often delayed or inconsistent. Without automated pipelines, teams rely on outdated reports or one-off requests to engineering. By syncing product analytics with customer tools in real time, your teams can proactively address customer needs and drive retention.

Product Usage Data for Customer Insights
Product usage data is crucial for customer success, but getting it into the hands of sales and support teams is often delayed or inconsistent. Without automated pipelines, teams rely on outdated reports or one-off requests to engineering. By syncing product analytics with customer tools in real time, your teams can proactively address customer needs and drive retention.
Mangomint used Pipedream to quickly
build an integration and deliver it to customers.
“We needed a solution that would make building this easy, and allow the team to quickly test and iterate on the integration while validating that it met the customer’s needs.”

Daniel Lang
CEO & Co-Founder at Mangomint
Mangomint used Pipedream to quickly
build an integration and deliver it to customers.
“We needed a solution that would make building this easy, and allow the team to quickly test and iterate on the integration while validating that it met the customer’s needs.”

Daniel Lang
CEO & Co-Founder at Mangomint
Apps
©
2025
Pipedream, Inc. — San Francisco, CA

Apps
©
2025
Pipedream, Inc. — San Francisco, CA
