C5i vs Databricks

Databricks has a disclosed valuation of $134B, while C5i's valuation is not publicly available, making a direct size comparison difficult. Databricks employs 6,000 people.

Databricks has raised more in total funding at $20.2B, compared to C5i's $30M — a gap of $20.2B. Combined, the two companies have completed 8 known funding rounds.

Databricks leads with an Awaira Score of 93/100, while C5i sits at 58/100. That 35-point gap reflects real differences in funding, scale, and traction — it's not a vanity metric.

C5i was founded by Sachins Gupta in 2008. Databricks was founded by Ali Ghodsi in 2013. Visit each company's profile on Awaira for a full founder biography.

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. 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.

C5i got there first, launching in 2008 — that's 5 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.

C5i has about 500+ 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 C5i and Databricks compete in AI Data, targeting many of the same buyers. If you're evaluating one, you should be looking at the other.