Our data engineering team manages thousands of business-critical tables. Using Bigeye to automate monitoring for our data has been a game-changer for our efficiency and helps us build trust in data across the entire company.
Mike Elliott
Director of Engineering
With Bigeye, we have an integrated one-stop solution for monitoring the health of our data — the ultimate answer as to whether our data is good or not. Bigeye is a first-mover and groundbreaking provider.
Simon Dong
Software Engineer, Data
We're a small team and we serve a massive community. Bigeye's monitoring tools help us know that our data is accurate and up to date, no matter how fast we're shipping.
Kenny D'Amica
Data Science Manager
Trusted by data-driven companies
“Bigeye brings scale and reliability to data quality monitoring, helping us meet the needs of our customers with a platform that balances automation and flexibility.”
Build trust in every dataset
Every time a data quality issue causes an outage, the business loses trust in the data. Bigeye helps rebuild trust, starting with monitoring.
Analytics
Broken dashboards
Find missing and busted reporting data before executives see it in a dashboard.
Machine learning
Damaged models
Get warned about issues in training data before models get retrained on it.
Data culture
Data driven depression
Fix that uncomfortable feeling that most of the data is mostly right, most of the time.
Monitor the data. Not the pipeline.
Pipeline job statuses don't tell the whole story. The best way to ensure data is fit for use, is to monitor the actual data.
Freshness
Volume
Formats
Categories
Outliers
Distributions
Designed for data people.
By data people.
We built tools for managing petabyte scale data platforms. Now we're building them for you. Our team →
for analysts
Discover data issues before your users do
Autometrics
Algorithmically generated data quality metrics help you add monitoring to any table in seconds.Autothresholds
Forecasting-based alert thresholds learn each data quality metric and adjust themselves continuously.Customization
Manual adjustment options for any metric or threshold, and a templating system for defining new metrics.No-code interface
A fast and intuitive interface makes it easy to investigate alerts and root cause issues quickly.for data engineers
Easily integrate into any data stack
Databases
Connect to Snowflake, Redshift, BigQuery, and other popular OLAP and OLTP sources.APIs
Full parity with the no-code UI allows for creating, editing, and reading configuration or metric history.Secure SaaS
Connect to data and monitor in minutes with our SOC 2 compliant managed service that never copies your data.Private cloud
Easily up inside your VPC with infrastructure templating like Cloudformation for AWS.IN THE PRESS
Bigeye makes big news
TechCrunch: Bigeye Announces $45m Series B
Bigeye announces $45 million in Series B funding, just six months after securing a $17 million Series A round.
Podcast: An interview with Bigeye's CTO
Tobias Macey interviews Bigeye CTO Egor Gryaznov about data quality and the challenge of keeping data pipelines healthy.ZDnet: Bigeye aims at Data Reliability Engineering
Bigeye's data observability platform helps organizations create a data reliability engineering practice.VentureBeat: Exploratory Data Analysis
Bigeye data scientist Henry Li writes about exploratory data analysis and how without it, machine learning models will fall short.Reliable data doesn't have to be hard.
Bigeye helps data teams detect and fix data quality problems together.
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