DataSift raises $7.2m inside round to help make sense of ‘big data’ beyond social interactions
DataSift, a rising star in the world of ‘big data’ collection and analysis, has raised $7.2 million from existing backers GRP Partners and IA Ventures to help accelerate growth as worldwide demand for its services continues to soar.
Context & Ripple Effects
DataSift has taken a $7.2 million inside round entirely from its existing backers, GRP Partners and IA Ventures, rather than opening the round to new lead investors — a structure that reads as insiders doubling down on a company they already know, at speed. The pickup was unusually broad for a Series B-sized raise: TechCrunch, VentureBeat, AllThingsD, GigaOM, BetaKit and VatorNews all ran the story on or about May 2, 2012.
The strategic signal in the announcement is the phrase 'beyond social interactions': DataSift, known for large-scale collection and analysis of social data, is framing this capital as fuel to extend its platform into non-social data sources, with worldwide demand described as continuing to soar.
First-order effects
- GRP Partners and IA Ventures re-upping without an outside lead gives DataSift immediate growth runway to scale its collection and analysis infrastructure while keeping its cap table and valuation under insider control.
- DataSift's stated push beyond social interactions turns a social-analytics specialist into a general-purpose big-data platform contender, widening its addressable customer base right away.
Second-order effects
- Competing social-data and analytics startups now face a freshly capitalized rival chasing non-social data sources, pressuring their own roadmaps and fundraising timelines to match.
- Enterprise buyers evaluating 'big data' vendors gain another well-funded option outside the social listening category, intensifying competition on coverage and pricing in the analytics tools market.
Third-order effects
- If insiders keep funding data-infrastructure startups through demand surges, venture capital concentrates around a small set of backed platforms in the big-data tooling layer, raising the bar for new entrants without proprietary data access.
The trend: Early-2010s venture capital is consolidating behind the big-data tools layer, with existing backers doubling down on platforms racing to move past social data into general-purpose analytics.