Yellowbrick Data is a company.
Yellowbrick Data has raised $248.0M across 4 funding rounds.
Key people at Yellowbrick Data.
Yellowbrick Data has raised $248.0M in total across 4 funding rounds.
Key people at Yellowbrick Data.
Yellowbrick Data has raised $248.0M in total across 4 funding rounds.
Yellowbrick Data's investors include 1776, 75 & Sunny, A Capital, Acequia Capital, ACME Capital, Audrey Capital, BMW i Ventures, Cisco Investments, Cota Capital, Craft Ventures, DFJ, Expon Capital.
Yellowbrick Data is a US-based company specializing in a SQL data platform for enterprise data warehousing, ad-hoc and streaming analytics, BI, and AI workloads.[2][4][5] It builds the Yellowbrick Data Warehouse, a massively parallel processing (MPP) system that deploys on-premises, in public/private clouds, or at the edge via Kubernetes, serving enterprises needing secure, high-performance analytics on massive datasets.[1][3][4][5] The platform solves challenges like high costs, poor scalability, complex tuning, and security risks in traditional data warehouses by offering 10-100x faster ad-hoc queries, lowest TCO, sub-second responses at petabyte scale, and full data control without public internet exposure.[1][3][4] Growth momentum includes winning the 2025 DBTA Readers’ Choice Award for Best Data Warehouse Solution, customer migrations from legacy systems like IBM Netezza and Amazon Redshift, and integrations with tools like Databricks.[4]
Yellowbrick Data was founded in 2014 in Mountain View, California, by Neil Carson (CEO), Jim Dawson, and Mark Brinicombe (architect).[2][5] The idea emerged from recognizing data as a critical, secure asset needing availability and prioritization by role, leading to a flash storage-based MPP data warehouse using analytic blades with NVMe and CPUs.[1][5] Brinicombe brought expertise from Fusion-io (acquired by SanDisk), Everdream (acquired by Dell), and BMC Software; Carson and Dawson complemented with leadership in data infrastructure.[2] Early traction came from its all-flash architecture delivering predictable performance and ANSI SQL/ACID compliance via a Postgres front-end, evolving to cloud-native offerings like Yellowbrick Cloud Data Warehouse in 2019 for AWS, Azure, and GCP.[5]
Yellowbrick stands out through innovations in security, performance, and simplicity:
Yellowbrick rides the cloud-native data platform trend, addressing legacy warehouse limitations amid exploding enterprise data for AI, real-time analytics, and BI in hybrid/multi-cloud environments.[3][4][5] Timing aligns with Kubernetes maturity and separation of storage/compute, enabling elasticity without vendor lock-in—crucial as 80% of enterprises grapple with scalability/cost in public clouds like Redshift.[4] Market forces favoring it include rising data sovereignty demands, AI-driven workloads needing sub-second queries, and shifts from managed services to customer-controlled deployments; it influences the ecosystem by powering modernizations (e.g., NAVSUP, SAP users) and partnering with Databricks, accelerating secure analytics adoption.[4][5]
Yellowbrick is poised to expand in AI/BI hybrid workloads, leveraging 2025 award momentum and edge deployments for real-time decisions in sectors like defense and finance.[4] Trends like multi-cloud sovereignty, generative AI data needs, and Kubernetes ubiquity will propel growth, potentially through deeper integrations or pre-IPO scaling.[6] Its influence may evolve by redefining "warehouse" as a secure, efficient platform anywhere, empowering faster enterprise insights without compromise—transforming data from burden to decisive asset, as its mission promises.[1][2]
Yellowbrick Data has raised $248.0M across 4 funding rounds. Most recently, it raised $75.0M Series C in November 2021.
