Fivetran, a major data integration firm based in Oakland, California, announced its acquisition of Census, a reverse ETL platform headquartered in San Francisco.
The deal, made public on May 1, 2025, aims to create a full end-to-end data movement solution. This acquisition allows Fivetran to transfer data both into and from cloud databases seamlessly.
About the Companies and Leadership
Fivetran was co-founded and is led by CEO George Fraser. Census was established in 2018 by CEOs Boris Jabes and Anton Vaynshtok. The two firms share a common customer base, making the acquisition strategically logical.
Significance of the Acquisition
This deal is notable because it meets customer demand for reverse ETL solutions. Fivetran considered building its own but chose acquisition as it found Census’s product already well developed and aligned with its philosophy.
George Fraser explained that despite some technical differences between the companies’ platforms, their shared approach and customer overlap were important factors. The strong ties between the founding teams also eased the merger process, with roots dating back to their participation in Y Combinator programs over a decade ago.
Key Financial Highlights
| Company | Valuation | Funding/Raise |
|---|---|---|
| Census | $630 million (2022) | Raised over $80 million from firms including Sequoia |
| Fivetran | $5.6 billion (2021 Series D) | $565 million Series D funding round |
Fivetran is forecasted to reach $189 million in revenue by its fiscal year ending January 2025, showing strong growth in the data integration sector.
Future Outlook
The integration will consolidate Census into the Fivetran platform, offering clients a unified solution for data movement. This enhancement is expected to improve operational efficiency across data-driven businesses.
For context on Census’s valuation, see the report where it was last valued at $630 million in 2022.
The acquisition reflects broader trends in AI and enterprise technology as companies seek to optimize data workflows. Fivetran’s approach aligns with increasing needs for integrated, efficient data tools in modern businesses.
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