Data Quality Tech Startup Bigeye Raises $17M In Series A Funding
With its data quality engineering platform the company aims to bring to data operations the kind of practices found in DevOps and IT management. By Rick Whiting April 15, 2021, 03:01 PM EDT
Big data startup Bigeye has raised $17 million in Series A funding, the company said Thursday, providing resources the company will devote to accelerating development of its data quality engineering platform and expanding its go-to-market efforts.
The funding round was led by Sequoia Capital with participation from existing investor Costanoa Ventures. The round brings the San Francisco-based company’s total financing to $21 million, including $4 million in seed funding the company raised last year.
The round was led by Sequoia Capital with participation from existing investor Costanoa Ventures.
The company intends to use the funds to improve the platform and make it available to more data teams.
Now, Bigeye is applying an engineering approach to data, making it effortless for data teams to measure, improve, and communicate data quality for their organizations.
Led by Kyle Kirwan, CEO and co-founder, and by Egor Gryaznov, CTO and co-founder, Bigeye provides a data quality engineering platform that applies proven engineering concepts from DevOps and Site Reliability Engineering (SRE). The solution automatically instruments datasets and pipelines with data quality metrics, creating actionable alerts driven by anomaly detection techniques that enable data teams to prevent incidents from impacting the business.