Coralogix vs C5i

Neither company has publicly disclosed a valuation, making a definitive size comparison difficult. Coralogix employs 100-500 people, while C5i has 500+ employees.

Coralogix has raised more in total funding at $270M, compared to C5i's $30M — a gap of $240M.

Coralogix holds the higher Awaira Score at 68/100, compared to C5i's 58/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 10-point gap that reflects meaningful differences in scale or traction.

Coralogix was founded by Ariel Assaraf in 2015. C5i was founded by Sachins Gupta in 2008. 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. C5i: C5i is an AI-powered analytics and consumer intelligence company that combines data science, market research, and business intelligence capabilities to help enterprises understand consumer behavior, market dynamics, and operational performance through integrated AI analytics platforms. The company serves clients across CPG, retail, financial services, and technology sectors in India and globally.\n\nThe company raised approximately $30M in growth funding and has built a team exceeding 500 professionals combining data scientists, research analysts, and technology engineers. C5i's hybrid model of AI-powered analytics combined with domain expert interpretation differentiates it from pure technology platforms in the market research and BI consulting space.\n\nThe analytics services market in India is large and fragmented, with significant demand from multinational corporations operating in India and Indian conglomerates building data-driven decision capabilities. C5i's long operating history and deep sector expertise give it credibility with large enterprise buyers who require both technical rigor and business context in their analytics partnerships.

C5i was founded first in 2008, giving it 7 years of additional market experience. Coralogix was founded later in 2015. In AI, even a year or two of head start can translate into significantly more training data, customer relationships, and institutional knowledge.

Coralogix has approximately 100-500 employees, while C5i has approximately 500+. A larger team often signals higher revenue or venture backing, but in AI, smaller teams are increasingly capable of building at scale.

Yes, Coralogix and C5i are direct competitors — both operate in the AI Data space and likely target overlapping customer segments. This comparison is especially relevant for buyers evaluating both platforms.