Fivetran
A fully managed cloud ELT platform with 500+ pre-built connectors that automatically replicates data from SaaS applications, databases, and files into a destination data warehouse.
How RevOps teams use it
RevOps teams use Fivetran to automate the ingestion of Salesforce, HubSpot, Marketo, and other revenue data into Snowflake or BigQuery without building or maintaining custom ETL pipelines.
Example use case
e.g., A RevOps team uses Fivetran to sync Salesforce, Gong, and Zendesk data into Snowflake every hour so their revenue dashboards always reflect near-real-time pipeline activity.
Where it's used
Technical Disciplines
Integration Engineer
Builds and maintains the connections between CRMs, ERPs, marketing platforms, and third-party tools so data flows cleanly across the revenue stack.
Analytical Engineering
Transforms raw revenue data into clean, trusted models that power reporting, forecasting, and decision-making across the GTM organisation.
Data Governance Engineering
Establishes and enforces the data standards, hygiene rules, and stewardship processes that keep revenue data trustworthy — from duplicate management and field standardisation to master data management across the tech stack.
Platform Engineer
Builds and maintains the core RevOps platform — the foundational layer of tools, APIs, and infrastructure that every other function depends on.
RevOps Data Engineer
Designs and maintains the data infrastructure — pipelines, warehouses, and integrations — that ensures revenue data is accurate, available, and actionable.
RevOps Systems Architect
Designs the overall revenue technology stack — selecting, connecting, and governing the systems that support the entire customer lifecycle.
Industry Verticals
SaaS B2B
Subscription-based software sold to businesses. Long sales cycles, multi-stakeholder procurement, and recurring revenue tracked through ARR, NRR, and churn.
SaaS B2C
Subscription software sold directly to individuals. Self-serve, high volume, short cycles — revenue operations focused on activation, retention, and reducing involuntary churn.
FinTech
Revenue from interchange fees, lending spreads, AUM, or SaaS licensing. Compliance-aware pipelines and complex fee structure reporting.