Yellowbrick Data Company Profile

Background

Overview

Yellowbrick Data, founded in 2014, is a U.S.-based database company specializing in massively parallel processing (MPP) data warehouse and SQL analytics products. Headquartered in Mountain View, California, the company offers a hybrid cloud data warehouse solution designed for high-performance analytics and complex queries on large-scale datasets.

Mission and Vision

Yellowbrick's mission is to provide enterprises with a secure, high-performance data platform that offers unparalleled speed and scalability. The company's vision is to empower organizations to transform their data into actionable insights by delivering a flexible and efficient data warehousing solution.

Primary Area of Focus

Yellowbrick focuses on delivering a modern data platform optimized for performance and deployment flexibility. Its solutions cater to enterprise data warehousing, ad-hoc and streaming analytics, AI, and BI workloads. The platform is deployable across public and private clouds, data centers, laptops, and edge locations, providing a private data cloud experience that ensures data stays under the user's control to meet residency and sovereignty needs.

Industry Significance

In the competitive data warehousing industry, Yellowbrick has established itself as a contender by offering a unique hybrid cloud data warehouse solution. The company's platform has been recognized for its high performance and deployment flexibility, making it a significant player in the market.

Key Strategic Focus

Core Objectives

High Performance: Delivering a data platform that offers unmatched speed and scalability for complex analytics workloads.

Deployment Flexibility: Providing solutions that can be deployed across various environments, including public and private clouds, data centers, and edge locations.

Data Security and Control: Ensuring that data remains under the user's control to meet residency and sovereignty requirements.

Specific Areas of Specialization

Enterprise Data Warehousing: Offering a robust platform for storing and analyzing large-scale datasets.

Ad-Hoc and Streaming Analytics: Supporting real-time data processing and analysis for immediate insights.

AI and BI Workloads: Facilitating advanced analytics and business intelligence applications.

Key Technologies Utilized

Kubernetes-Based Architecture: Utilizing Kubernetes for container orchestration to enhance scalability and manageability.

Hybrid Column-Row Store: Employing a storage engine that combines columnar and row-based storage for efficient data processing.

Direct Data Accelerator® Architecture: Implementing an OS bypass technology that enables in-memory analytics performance at petabyte scale.

Primary Markets or Conditions Targeted

Yellowbrick targets enterprises across various industries that require high-performance data warehousing and analytics solutions. The platform is designed to meet the needs of organizations seeking to modernize their data infrastructure and leverage data for strategic decision-making.

Financials and Funding

Funding History

Yellowbrick has secured significant funding to support its growth and product development. In 2020, the company raised $75 million in a Series C1 funding round, indicating strong investor confidence in its business model and market potential.

Total Funds Raised

The company has raised a total of $248 million in funding to date.

Notable Investors

Yellowbrick's investors include DFJ Growth, Third Point Ventures, and Next 47, among others.

Intended Utilization of Capital

The capital raised is intended to accelerate product development, expand market reach, and enhance customer support capabilities. This funding supports Yellowbrick's strategic initiatives to strengthen its position in the data warehousing industry.

Pipeline Development

Key Pipeline Candidates

Yellowbrick's primary product is its hybrid cloud data warehouse platform, which has been developed to address the growing need for high-performance, flexible data warehousing solutions.

Stages of Development

The platform has progressed through various stages, from initial development to deployment in multiple enterprise environments. The company continues to enhance the platform's capabilities to meet evolving market demands.

Target Conditions

The platform is designed to handle complex analytics workloads, including real-time data processing, AI, and BI applications.

Relevant Timelines for Anticipated Milestones

Yellowbrick has achieved significant milestones, including product launches and strategic partnerships, which have contributed to its growth and market presence.

Technological Platform and Innovation

Proprietary Technologies

Direct Data Accelerator® Architecture: An OS bypass technology that enables in-memory analytics performance at petabyte scale without requiring a typical database buffer cache.

Significant Scientific Methods

Hybrid Column-Row Store: A storage engine that combines columnar and row-based storage for efficient data processing.

Kubernetes-Based Architecture: Utilizing Kubernetes for container orchestration to enhance scalability and manageability.

Leadership Team

Executive Profiles

Neil Carson, Ph.D. – Chief Executive Officer and Co-founder

Neil Carson has a background in computer software engineering and has held leadership roles at Fusion-io and Dell. He co-founded Yellowbrick in 2014 and serves as the CEO.

Jason Snodgress – Chief Operating Officer

Jason Snodgress has experience in business operations and customer engagement, having held positions at SanDisk and Fusion-io. He joined Yellowbrick as COO.

Mark Cusack – Chief Technology Officer

Mark Cusack has a background in data and analytics, previously serving as Vice President for Data and Analytics at Teradata. He holds a Ph.D. in computational physics and serves as CTO at Yellowbrick.

Competitor Profile

Market Insights and Dynamics

The data warehousing industry is characterized by rapid technological advancements and increasing demand for scalable, high-performance analytics solutions. Enterprises are seeking platforms that offer flexibility, security, and cost-effectiveness.

Competitor Analysis

Snowflake: A leading competitor offering a cloud-based data warehousing solution with a focus on scalability and ease of use.

Incorta: Provides a data analytics platform that emphasizes real-time data processing and simplicity.

Chartio: Offers a business intelligence platform known for its user-friendly interface and data visualization capabilities.

Strategic Collaborations and Partnerships

Yellowbrick has formed strategic partnerships to enhance its product offerings and expand its market reach. Notably, the company partnered with SAS to develop integrated solutions for data analytics, enabling customers to leverage their investment in SAS technology while benefiting from Yellowbrick’s modern hybrid cloud data warehouse.

Operational Insights

Yellowbrick differentiates itself by offering a hybrid cloud data warehouse that can be deployed in the customer's own cloud account or on-premises, providing greater control over data security and compliance. This approach addresses concerns related to data residency and sovereignty, setting Yellowbrick apart from competitors that operate multi-tenant platforms.

Strategic Opportunities and Future Directions

Yellowbrick is well-positioned to capitalize on the growing demand for high-performance, flexible data warehousing solutions. The company's focus on security, deployment flexibility, and performance aligns with market needs, providing opportunities for expansion and innovation.