Data Integration for Technology Companies

Connect applications, databases, and APIs to cloud warehouses with reliable, scalable pipelines. Handle schema changes, event tracking, and AI workloads with automated data movement built for engineering teams.

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Industry-Specific Outcomes

Product analytics from application events

Customer 360 dashboards from CRM, support, and product data

AI/ML feature stores for training and inference pipelines

Multi-tenant SaaS metrics with performance tracking

API usage analytics for monetization and rate limiting

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Popular Connector Workflows

Source System

Destination

Use Case

PostgreSQL

Snowflake

Application database replication for business analytics

GitHub

BigQuery

Developer productivity metrics and code review analytics

Jira

Snowflake

Engineering velocity dashboards and sprint reporting

MongoDB

BigQuery

User behavior analytics from operational databases

Slack

Snowflake

Team collaboration metrics and communication analysis

Modern Data Stack Architecture

Event streams and databases flow through Airbyte to cloud warehouses, powering 360 analytics, AI models, and business intelligence.

Airbyte saved us two months of engineering time by not having to build our own infrastructure. Without Airbyte, we’d need to write our own data integration tool that would be too burdensome to maintain. We can count on the stability and reliability of Airbyte connectors. Plus, with Airbyte it’s simple to build custom pipelines.