Bigeye, a San Francisco, California-based provider of the leading data observability platform, raised $45 million in Series B funding to further its leadership in the emerging category.
Led by Coatue and with participation from existing investors, Sequoia Capital and Costanoa Ventures, the latest round follows on a $17 million Series A from just 6 months earlier and brings total funding to $66 million.
With the funding, Bigeye will scale its team to address the rising demand for data observability, continue building on its product leadership, and help more data teams prevent customer-facing data outages, save expensive engineering hours, and build greater trust in the data.
Company: Toro Data Labs, Inc.
Round: Series B
Funding Month: September 2021
Lead Investors: Coatue
Additional Investors: Sequoia Capital and Costanoa Ventures
Company Website: https://www.bigeye.com/
Software Category: Data observability platform
About the Company: Bigeye is the leading data observability platform designed to help data teams build trust in data. Data teams use Bigeye to instrument their data with monitoring, detect anomalies, and publish SLAs for their stakeholders to know the health of the data at all times and ensure reliable data pipelines. Complete API access, a user-friendly interface, and flexible customization options help data teams work the way they want to. Bigeye can be deployed in as little as 15 minutes and uses automation and anomaly detection to help teams monitor all aspects of their data quality, proactively detect and resolve issues, and ensure that every user can trust the data. Bigeye has doubled usage each of the last four quarters and added to its existing roster of customers, like Instacart, with new customers, including Clubhouse, Recharge, and Udacity.