TomTom vs Databricks

By valuation, Databricks is the larger company at $134B versus $740M — a 181.1x difference. Size can also be measured by team: TomTom employs 1000+ people while Databricks has 6,000 employees.

Databricks has raised $20.2B in disclosed funding across 5 known rounds. TomTom's funding history is not publicly available.

Databricks leads with an Awaira Score of 93/100, while TomTom sits at 62/100. That 31-point gap reflects real differences in funding, scale, and traction — it's not a vanity metric.

TomTom was founded by Harold Goddijn in 1991. Databricks was founded by Ali Ghodsi in 2013. Visit each company's profile on Awaira for a full founder biography.

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. Databricks: Databricks is an AI and data platform founded in 2013 that provides a unified analytics workspace for data engineering, data science, and machine learning. The company developed Databricks Lakehouse, which combines data lake and data warehouse capabilities, built on Apache Spark technology. Its platform enables organizations to process large-scale data, build machine learning models, and deploy AI applications through a single interface. The company offers several core products: Databricks SQL for analytics, Databricks Machine Learning for model development, and Databricks Jobs for workflow automation. The platform supports multi-cloud deployment across AWS, Azure, and Google Cloud. Databricks serves enterprises across various industries, with customers including organizations in financial services, technology, and healthcare sectors. As of its latest funding round, Databricks has raised $11.2 billion in total funding and maintains a valuation of $134 billion, positioning it among the highest-valued private AI and data companies. The company achieved Series J funding status, indicating significant capital accumulation and investor confidence. Databricks competes with platforms like Snowflake, Teradata, and cloud-native data solutions from major hyperscalers. The company's growth trajectory reflects strong market demand for integrated data and AI infrastructure, driven by increasing enterprise adoption of machine learning and data-driven decision-making. Databricks unified the traditionally separate data warehouse and data lake approaches through its Lakehouse architecture, creating a single platform for analytics and AI workflows.

TomTom got there first, launching in 1991 — that's 22 years of extra runway. Databricks didn't arrive until 2013. In AI, that kind of head start means more training data, deeper customer relationships, and a bigger talent moat.

TomTom has about 1000+ employees; Databricks has about 6,000. 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 TomTom and Databricks compete in AI Data, targeting many of the same buyers. If you're evaluating one, you should be looking at the other.