Entropik vs Databricks

Databricks has a disclosed valuation of $134B, while Entropik'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 Entropik's $25M — 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 Entropik sits at 60/100. That 33-point gap reflects real differences in funding, scale, and traction — it's not a vanity metric.

Entropik was founded by Ranjan Kumar in 2016. Databricks was founded by Ali Ghodsi in 2013. Visit each company's profile on Awaira for a full founder biography.

Entropik: Entropik is an emotion AI and consumer research platform that uses facial coding, eye tracking, voice emotion analysis, and neuroimaging-inspired techniques to measure subconscious consumer responses to advertisements, product packaging, and in-store experiences. The platform provides market researchers and brand teams with quantitative emotional engagement metrics that complement traditional survey-based consumer research methods.\n\nThe company raised approximately $25M in Series B funding from investors including Ankur Capital and YourNest, and serves consumer goods companies, media agencies, and market research firms globally that want to understand emotional drivers of purchase decisions beyond what surveys can capture. Entropik's Affect Lab and Decode platforms automate the collection and analysis of non-conscious consumer responses at a scale and speed that in-lab research cannot match.\n\nConsumer insights is a multi-billion dollar market globally, and the shift toward digital advertising has created strong demand for more granular engagement measurement than view counts and click rates provide. Entropik's biometric and behavioral measurement approach offers a fundamentally different data source — one that captures the emotional responses that drive brand preference and purchase intent beneath stated survey answers. 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.

Databricks got there first, launching in 2013 — that's 3 years of extra runway. Entropik didn't arrive until 2016. In AI, that kind of head start means more training data, deeper customer relationships, and a bigger talent moat.

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