Atlan vs TomTom

By valuation, Atlan is the larger company at $750M versus $740M — a 1x difference. Size can also be measured by team: Atlan employs 200-500 people while TomTom has 1000+ employees.

Atlan has raised $206M in disclosed funding across 2 known rounds. TomTom's funding history is not publicly available.

Atlan leads with an Awaira Score of 68/100, while TomTom sits at 62/100. That 6-point gap reflects real differences in funding, scale, and traction — it's not a vanity metric.

Atlan was founded by Prukalpa Sankar in 2018. TomTom was founded by Harold Goddijn in 1991. Visit each company's profile on Awaira for a full founder biography.

Atlan: Atlan is an active metadata platform and data workspace that enables data teams to discover, understand, and govern data assets across cloud warehouses, lakes, BI tools, and pipelines through an AI-powered catalog interface. The platform automatically crawls data infrastructure to build lineage graphs, enables natural language search over data assets, and enforces data governance policies through automated tagging and access controls.\n\nThe company raised approximately $78M in Series C funding from investors including Insight Partners and Sequoia India, and has built a global customer base of data-forward technology companies and enterprises. Atlan has emerged as a recognized leader in the data catalog market, competing with Alation, Collibra, and DataHub in the modern data stack ecosystem.\n\nAs cloud data infrastructure has proliferated, data discoverability and governance have become critical operational problems for engineering teams managing hundreds of data sources. Atlan's modern metadata-first approach and deep integrations with the contemporary data stack — Snowflake, dbt, Fivetran, Looker — position it well in a market where legacy catalog vendors have struggled to keep pace with infrastructure evolution. TomTom: TomTom is a Dutch location technology company that develops AI-powered mapping, navigation, and real-time traffic data products for automotive OEMs, fleet operators, and enterprise location services customers. The Amsterdam-listed company has evolved from consumer GPS devices into a B2B data and software business, supplying digital map data, live traffic intelligence, and navigation APIs to vehicle manufacturers for in-car systems and to enterprise developers building location-aware applications.\n\nPublicly traded on Euronext Amsterdam, TomTom divested its telematics business to focus on its digital map and automotive software divisions, partnering with Microsoft to build a next-generation AI map platform announced in 2023. The company supplies map data that underlies location services from a significant share of global automotive brands and maintains a map coverage network spanning over 185 countries. TomTom HD Maps and its RoadDNA localisation technology are positioned as foundational infrastructure for autonomous vehicle development.\n\nTomTom competes in the mapping data market against HERE Technologies, Google Maps Platform, and Mapbox, with differentiation in the automotive OEM segment where its decades of vehicle integration experience give it established supply chain relationships. The company is navigating a transition period in which traditional navigation revenue is declining as smartphones displace in-car navigation units, while automotive OEM software platforms and AI mapping represent the primary growth vectors. Its Microsoft collaboration for AI-enhanced mapping tools reflects a strategic bet on integrating large language model capabilities into location intelligence products.

TomTom got there first, launching in 1991 — that's 27 years of extra runway. Atlan didn't arrive until 2018. In AI, that kind of head start means more training data, deeper customer relationships, and a bigger talent moat.

Atlan has about 200-500 employees; TomTom has about 1000+. A bigger team usually means more revenue or heavier VC backing, but in AI, small teams can build at massive scale.

Yes — they're direct rivals. Both Atlan and TomTom compete in AI Data, targeting many of the same buyers. If you're evaluating one, you should be looking at the other.