Dataweave vs Atlan

Neither company has publicly disclosed a valuation, making a definitive size comparison difficult. Dataweave employs 100-500 people, while Atlan has 200-500 employees.

Atlan has raised more in total funding at $78M, compared to Dataweave's $22M — a gap of $56M.

Atlan holds the higher Awaira Score at 68/100, compared to Dataweave's 55/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 13-point gap that reflects meaningful differences in scale or traction.

Dataweave was founded by Krishnamurthy Rengarajan in 2011. Atlan was founded by Prukalpa Sankar in 2018. Visit each company's profile on Awaira for a full founder biography.

Dataweave: Dataweave is a retail price intelligence and competitive data platform that continuously monitors millions of product listings across e-commerce marketplaces, brand websites, and retail channels, using AI to deliver real-time pricing analytics, assortment insights, and promotion tracking to retailers and brand manufacturers. The platform helps merchandising and pricing teams make data-driven decisions to stay competitive on digital shelves.\n\nThe company raised approximately $22M in Series B funding and serves major global retailers, consumer goods companies, and marketplaces that need systematic visibility into competitor pricing and shelf positioning. Dataweave processes billions of data points daily and provides structured analytics that replace manual price monitoring spreadsheets.\n\nAs e-commerce has shifted pricing from periodic catalog decisions to continuous dynamic optimization, the need for automated competitive price intelligence has become a core retail technology investment. Dataweave's decade of accumulated retail data and processing infrastructure gives it a scale advantage over newer entrants in the competitive intelligence category. Atlan: Atlan is an active metadata platform and data workspace that enables data teams to discover, understand, and govern data assets across cloud warehouses, lakes, BI tools, and pipelines through an AI-powered catalog interface. The platform automatically crawls data infrastructure to build lineage graphs, enables natural language search over data assets, and enforces data governance policies through automated tagging and access controls.\n\nThe company raised approximately $78M in Series C funding from investors including Insight Partners and Sequoia India, and has built a global customer base of data-forward technology companies and enterprises. Atlan has emerged as a recognized leader in the data catalog market, competing with Alation, Collibra, and DataHub in the modern data stack ecosystem.\n\nAs cloud data infrastructure has proliferated, data discoverability and governance have become critical operational problems for engineering teams managing hundreds of data sources. Atlan's modern metadata-first approach and deep integrations with the contemporary data stack — Snowflake, dbt, Fivetran, Looker — position it well in a market where legacy catalog vendors have struggled to keep pace with infrastructure evolution.

Dataweave was founded first in 2011, giving it 7 years of additional market experience. Atlan was founded later in 2018. In AI, even a year or two of head start can translate into significantly more training data, customer relationships, and institutional knowledge.

Dataweave has approximately 100-500 employees, while Atlan has approximately 200-500. A larger team often signals higher revenue or venture backing, but in AI, smaller teams are increasingly capable of building at scale.

Yes, Dataweave and Atlan 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.