HVR Propels Fivetran Into Enterprise

The multiple was really a bet that Fivetran was becoming more than a connector catalog, and was turning into the default data pipe for bigger, messier enterprises. Before HVR, Fivetran was strongest when a company wanted clean, managed connectors from common SaaS apps into Snowflake or BigQuery. HVR added real time database replication and change data capture for large on premises and enterprise systems, which pushed Fivetran from marketing analytics use cases toward core operational data flows that carry bigger contracts and stickier budgets.

• HVR gave Fivetran an immediate upmarket product jump. The company said HVR added enterprise grade change data capture, and internal estimates put HVR at about $30M of revenue inside Fivetran’s 2021 base. That made growth look both faster and more durable because enterprise database replication is harder to replace than a single SaaS connector.
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• The practical difference is in the workflow. A mid market team might use Fivetran to pull Stripe, Salesforce, and ad data into a warehouse once every few minutes for dashboards. A large enterprise also needs Oracle, SAP, or other internal databases replicated continuously, at high volume, with low failure rates. HVR was built for that second job.
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• That also explains why Fivetran traded above Informatica, Talend, and Matillion at the time. Investors were paying for both 100% YoY growth and a path from easy SaaS ingestion into mission critical replication. Airbyte attacked breadth and price with community connectors, but Fivetran was selling reliability on the highest value connectors and then moving into heavier enterprise workloads.
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Going forward, the prize is owning more of the enterprise data movement layer before native vendor connectors and lower cost rivals eat the simple use cases. If Fivetran keeps bundling managed SaaS ingestion with HVR style replication for Oracle, SAP, and other core systems, it moves closer to being infrastructure that large companies standardize on, not just a tool individual data teams buy.