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SingleStore, which provides an SQL-based service to help enterprises parse and use data from disparate silos, raises $80M Series E led by Insight Partners

Ingrid Lunden / TechCrunch :

TechCrunch Ingrid Lunden

Context & Ripple Effects

SingleStore's $80M Series E lands mid-wave in a crowded enterprise data-funding cycle: AtScale raised $50M two years earlier to pipe data into BI tools, and London-based Harbr took a $38.5M Series A weeks before this round to let businesses exchange large data sets securely. The through-line is investors paying up for layers that make fragmented enterprise data usable.

What makes this round notable in hindsight is the trajectory it set up: within a year SingleStore was back for an $80M Series F reportedly near a $940M valuation, and by mid-2022 a $116M Series F extension led by Goldman Sachs pushed it past $1B — so this Insight-led round marks the inflection point where the company became a repeat fundraiser.

First-order effects

  • SingleStore gets $80M led by Insight Partners to scale its SQL-based service for querying data spread across enterprise silos, extending a runway that carried it straight into successive larger rounds.
  • Insight Partners adds another enterprise-data bet to a portfolio that already spans infrastructure and security holdings like Veeam.

Second-order effects

  • Adjacent integration vendors feel the valuation pull: a month after this round, SnapLogic raised $165M at a $1B valuation for app-and-data integration, showing buyers and investors pricing 'unify the silos' as one competitive category rather than separate database and middleware markets.
  • Rivals in the data-to-analytics path — AtScale on the BI side, Harbr on secure data exchange — now compete against a better-capitalized player that can bundle query, storage, and access in one SQL surface.

Third-order effects

  • If the pattern holds, enterprise data tooling consolidates around unified SQL platforms that collapse the database/BI/integration stack, with capital concentrating in fewer, larger rounds rather than seeding point tools per layer.
  • The rapid Series-E-to-unicorn cadence signals limited partners treating the data-unification layer as a winner-take-most market, which pressures sub-scale vendors toward acquisition or specialization.

The trend: Enterprise data infrastructure is consolidating around SQL-based platforms that unify silos, with venture capital accelerating valuations from growth rounds to unicorn status in under two years.