Yellowbrick Data
| Company type | Private |
|---|---|
| Industry | Data warehousing, SQL analytics[1] |
| Founded | 2014 |
| Headquarters | Mountain View, California, |
Key people |
|
| Website | www |
Yellowbrick Data is a US-based database company delivering massively parallel processing (MPP) data warehouse and SQL analytics products.[2][3][4] The company is headquartered in Mountain View, California.[5][6][7]
History[edit]
Yellowbrick Data was founded in 2014 by Neil Carson, Jim Dawson, and Mark Brinicombe to bring to market Yellowbrick Data Warehouse, a flash storage data warehouse product.[8][9][10] Yellowbrick’s first product used hardware consisting of analytic blades with both NVMe flash storage and CPUs, with the blades connected by an internal network.[11] The system includes a purpose built execution engine with a primary column store, built in compression, as well as erasure encoding for reliability.[12] The Yellowbrick Data Warehouse supports ANSI SQL and ACID reliability by using a Postgres based front-end, supporting any database driver or external connector. The all-flash architecture claims performance and predictability benefits compared to other data warehouses.[13]
In 2019, Yellowbrick announced two products – the Yellowbrick Cloud Data Warehouse, and Yellowbrick Cloud DR.[14] The Cloud Data Warehouse is a service offering, using its own hardware available to applications running in AWS, Azure, and GCP public clouds through dedicated network links.[15] This product allows the same speed and reliability advantages as the Data Warehouse, and complements the on-premises product. Cloud DR allows replication of on-premises datasets to the cloud service, or between cloud services at multiple physical locations.[16][17][18]
In 2022 Yellowbrick announced a fully cloud native version of Yellowbrick Data Warehouse, based on Kubernetes, available across all public clouds including AWS Marketplace, Azure and GCP. The cloud native product retains many of the same architectural principles as the hardware product, such as Massively Parallel Processing, column storage, NVMe flash storage, compatibility with PostgreSQL front-end interfaces and the SQL query language. Following the cloud native approach enables Yellowbrick to be deployed in any public cloud and delivers on cloud benefits such as elasticity and separation of storage and compute. The storage architecture in the cloud adds the use of cloud object storage, such as AWS S3, for persistent storage. In a departure from other similar services in the public cloud, Yellowbrick Data Warehouse does not operate a managed services layer, instead the service is deployed entirely in the target cloud account without requiring data or system metadata to be shared with the cloud operator or vendor.
References[edit]
- ^ "Yellowbrick Data makes its hybrid cloud data warehouse more accessible". Silicon Angle. Retrieved 14 December 2020.
- ^ ""Yellowbrick: A Hybrid Data Warehouse for Today's Reality"". Intellyx. Retrieved 14 December 2020.
- ^ ""What to Expect at Strata This Week"". Datanami. Retrieved 14 December 2020.
- ^ ""Amazon Soups Up RedShift"". Blocks and Files. Retrieved 14 December 2020.
- ^ ""Yellowbrick Data: What's New in the Data Warehouse World"". Truth in IT. Retrieved 14 December 2020.
- ^ ""Modern Data Warehousing: On-Prem and In the Cloud"". DM Radio. Retrieved 14 December 2020.
- ^ ""10 Best Data Analytics Companies"". CIO Bulletin. Retrieved 14 December 2020.
- ^ Wells, Joyce. "Yellowbrick Data Looks to Shake Up the Data Warehousing Market". Database Trends and Applications. Retrieved 14 October 2019.
- ^ Fort, Sam; Bryant, Bill. "Yellowbrick - Disrupting Data Analytics in a Flash". DFJ Posts. DFJ VC. Retrieved 14 October 2019.
- ^ "Yellowbrick data warehouse update boosts workload management". TechTarget. Retrieved 14 December 2020.
- ^ Mellor, Chris. "Yellowbrick reckons its all-flash data warehouse array is a wizard idea". The Register. Retrieved 14 October 2019.
- ^ ""Interviews from the 2019 MLOps Conference"". Inside Analysis. Retrieved 14 December 2020.
- ^ Alex, Woodie. "Yellowbrick Claims Flash Breakthrough with MPP Database". datanami. Retrieved 14 October 2019.
- ^ Mellor, Chris. "Yellowbrick Data does that cloud warehousing thing". Blocks & Files.
- ^ Preimesberger, Chris. "Yellowbrick Data Enters Cloud Data Warehouse Wars". eWeek.
- ^ "Follow the Yellowbrick Data Road to Cloud Warehousing and DR". SDX Central. Retrieved 14 December 2020.
- ^ ""Trend Setting Products in Data and Information Management in 2020"". Database Trends and Applications. Retrieved 14 December 2020.
- ^ "Tableau Announces Raft of Integrations and Offerings". Channel Life. Retrieved 14 December 2020.