Yellowbrick Data
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Company type | Private |
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Industry | Data warehousing |
Founded | 2014 |
Headquarters | Palo Alto, California, USA |
Key people |
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Website | www |
Yellowbrick Data is a US-based database company delivering massively parallel processing (MPP) data warehouse and SQL analytics products. It was founded in 2014 by Neil Carson, Jim Dawson, and Mark Brinicombe in order to bring to market a next generation flash storage optimized data warehouse.[1][2] To date, the company has raised $173M in venture capital from investors including DFJ Growth, Next47, IVP, Menlo Ventures, GV, and BMW iVentures.[3] The company is headquartered in Palo Alto, California.
Yellowbrick’s initial product, generally available first in 2018, uses purpose built hardware consisting of analytic blades with both NVMe flash storage and high performance CPUs, with the blades connected by a high performance internal network.[4] The system includes a purpose built execution engine with a primary column store, built in compression, as well as erasure encoding for reliability. The Yellowbrick Data Warehouse supports ANSI SQL and ACID reliability by using a Postgres based front end, allowing any database driver or external connector which supports Postgres to work without modification. The all-flash architecture claims performance and predictability benefits compared to other data warehouses.[5]
In 2019, the company launched two new products – the Yellowbrick Cloud Data Warehouse, and Yellowbrick Cloud DR.[6] The Cloud Data Warehouse is a full service offering run by Yellowbrick using their own hardware available to applications running in AWS, Azure, and GCP public clouds through dedicated network links.[7] 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.
References
- ^ 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. Medium. Retrieved 14 October 2019.
- ^ "Yellowbrick Corporate Profile". Crunchbase. Retrieved 14 October 2019.
- ^ Mellor, Chris. "Yellowbrick reckons its all-flash data warehouse array is a wizard idea". The Register. Retrieved 14 October 2019.
- ^ 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.
- Araujo, Charles. "Yellowbrick: A Hybrid Data Warehouse for Today's Reality". Intellyx.
- Woodie, Alex. "What to Expect at Strata This Week". Datanami.
- Mellor, Chris. "Amazon Soups Up RedShift". Blocks and Files.
- Matchett, Mike. "Yellowbrick Data: What's New in the Data Warehouse World". Truth in IT.
- Kavanagh, Eric. "Modern Data Warehousing: On-Prem and In the Cloud". DM Radio.
- "10 Best Data Analytics Companies". CIO Bulletin.
- Kavanagh, Eric. "Interviews from the 2019 MLOps Conference". Inside Analysis.
- Stedman, Craig. "Cloud Database Services Multiply To Ease Admin Work By Users". SearchDataManagement.
- Yeamans, Les. "AI, Analytics and Hybrid Cloud Dominate Strata Conference". Real-time Insights.
- Sawaya, Sydney. "Follow the Yellowbrick Data Road to Cloud Warehousing and DR". SDX Central.
- "Trend Setting Products in Data and Information Management in 2020". Database Trends and Applications.
- Moore, Ben. "Tableau Announces Raft of Integrations and Offerings". ChannelLife.
- Mellor, Chris. "Teradata Plays Cloud Data Warehouse Firms at Their Own Game". Blocks and Files.