Coralogix vs TomTom

By valuation, Coralogix is the larger company at $1B versus $740M — a 1.4x difference. Size can also be measured by team: Coralogix employs 100-500 people while TomTom has 1000+ employees.

Coralogix has raised $350M in disclosed funding across 6 known rounds. TomTom's funding history is not publicly available.

Coralogix 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.

Coralogix was founded by Ariel Assaraf in 2015. TomTom was founded by Harold Goddijn in 1991. Visit each company's profile on Awaira for a full founder biography.

Coralogix: Coralogix provides a machine learning-powered log analytics and observability platform that uses AI to reduce the volume of logs requiring full indexing and storage, applying streaming ML analysis to detect patterns, anomalies, and insights in log data without requiring all data to be indexed at query time. The Tel Aviv and San Francisco company stateful streaming approach reduces observability costs significantly compared to traditional log management tools that index and store all data regardless of utility.\n\nThe company raised approximately $270 000 000 including a Series D round from investors including Brighton Park Capital, Greenfield Partners, and Telstra Ventures. Coralogix counts technology companies and enterprises across cloud-native software development, fintech, and SaaS as clients, competing on cost efficiency relative to Datadog, Splunk, and New Relic for engineering teams with high log ingestion volumes and constrained observability budgets.\n\nCoralogix competes in the log management and observability market where Datadog, Elastic, and Grafana hold dominant positions. Its cost optimization positioning resonates with engineering teams managing rapid data growth who face steeply rising observability bills from usage-based pricing models at incumbent vendors. The company TCO reduction messaging is backed by architectural decisions that trade query flexibility at indexing time for streaming ML analysis that surfaces issues without storing all log data, a trade-off that appeals to cost-conscious engineering operations teams at high-growth software companies. 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 24 years of extra runway. Coralogix didn't arrive until 2015. In AI, that kind of head start means more training data, deeper customer relationships, and a bigger talent moat.

Coralogix has about 100-500 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 Coralogix and TomTom compete in AI Data, targeting many of the same buyers. If you're evaluating one, you should be looking at the other.