Yellowbrick Data provides a high-performance SQL data platform that supports enterprise data warehousing and streaming analytics with continuous data ingestion and low-latency query execution. This technology enables organizations to efficiently handle large-scale, concurrent workloads while minimizing unpredictable query runtimes, facilitating faster decision-making.
Funding
$75M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Traditional data warehouses often struggle to handle the demands of modern analytics, leading to unpredictable query runtimes and difficulties in processing continuous data streams. This can hinder timely decision-making and limit the ability to derive insights from real-time information.
Solution
Yellowbrick Data offers a high-performance SQL data platform designed for enterprise data warehousing, ad-hoc analytics, and streaming analytics. The platform is engineered to support highly concurrent workloads with continuous data ingestion, providing low-latency query execution even at petabyte scale. Yellowbrick's architecture allows organizations to efficiently manage large datasets and complex analytical tasks, eliminating unpredictable spikes in query runtimes. The platform can be deployed across various environments, including public clouds, private clouds, data centers, and edge locations, offering flexibility and control over data residency.
Target Audience
Yellowbrick Data primarily targets Fortune 500 and Global 2000 enterprises that require a high-performance data warehouse solution for demanding operational workloads and real-time analytics.
Features
- High-performance SQL engine optimized for data warehousing and analytics
- Support for continuous data ingestion with low-latency query execution
- Scalable architecture capable of handling petabyte-scale datasets
- Designed for highly concurrent, ad-hoc query workloads
- Kubernetes cloud-native architecture for deployment across diverse environments
- Data security features to maintain control over data residency and sovereignty
- Integration with Red Hat OpenShift for hybrid multi-cloud flexibility