Sold by: Bigeye
Find and fix data issues before they break your business. Bigeye monitors the health of your data pipelines and the quality of the data in them so you never have to wonder if your data is reliable.
4.1
Overview
Bigeye is an industry-leading data observability platform that helps data engineering and science teams ensure their data is always fresh, accurate and reliable. Companies use Bigeye's automated data quality monitoring, ML-powered anomaly detection, and granular root cause analysis to proactively detect and resolve data issues before they impact the business. With a library of over 70 data quality monitoring metrics along with the ability to deploy via UI or programmatically via an easy YAML based configuration you can be monitoring data quality at scale within minutes.
Highlights
- Automatically monitor your entire data pipeline. Get instant pipeline health monitoring across your data warehouse and deep machine-learning-powered quality monitoring on the data that matters most.
- Meaningful, actionable, automated alerts. Be the first to know about problems in your data pipelines. Use anomaly detection to eliminate thousands of manual alert rules and prevent problems from reaching your users.
- Data Lineage with automatic upstream and downstream pipeline analysis.
Details
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Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
Starter Package | Includes: 100 Active Monitored Tables, Two Core Lineage Plus Connectors, Browser Extension | $45,000.00 |
Enterprise Starter Package | Includes: 300 Active Monitored Tables, Two Core Lineage Plus Connectors, Browser Extension | $75,000.00 |
Dimensions summary
Bigeye sells two contract packages that scale by how many tables you actively monitor. The Starter Package covers 100 Active Monitored Tables. The Enterprise Starter Package covers 300 Active Monitored Tables. Both packages include the same core capabilities: two Core Lineage Plus Connectors and the Browser Extension. So the two options differ only in monitored-table capacity, not in included features. You pick the package based on the size of the data estate you need to track. Both are billed as a contract commitment.
Top-of-mind questions for buyers
An Active Monitored Table is a table you have data quality and pipeline monitoring applied to. The Starter Package allows up to 100 such tables. The Enterprise Starter Package allows up to 300. Tables you connect but do not actively monitor do not count toward that limit.
A Core Lineage Plus Connector links Bigeye to one of your data sources for lineage mapping across modern and legacy systems. Both packages include two connectors. This lets you trace data relationships across two connected sources, whether cloud, on-premises, or hybrid.
Each package sets a fixed cap on Active Monitored Tables: 100 for Starter, 300 for Enterprise Starter. The packages do not describe automatic overage billing. To raise your capacity, you would move to a package with a higher table count. Contact the vendor to arrange a change.
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Vendor resources
Support
Vendor support
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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By Bigeye
By Monte Carlo Data
Sentiment is AI generated from actual customer reviews on AWS and G2
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AI generated from product descriptions
Automated Data Quality Monitoring
Library of over 70 data quality monitoring metrics deployable via UI or YAML-based configuration for monitoring data quality at scale.
Machine Learning-Powered Anomaly Detection
ML-powered anomaly detection capabilities to identify data issues and eliminate manual alert rules.
Data Pipeline Health Monitoring
Instant pipeline health monitoring across data warehouse with deep quality monitoring on critical data.
Root Cause Analysis
Granular root cause analysis to proactively detect and resolve data issues before business impact.
Data Lineage Tracking
Automatic upstream and downstream pipeline analysis for data lineage visualization and dependency mapping.
Data Quality Monitoring
Machine learning-based monitoring and alerting for data quality issues across data warehouses, data lakes, ETL pipelines, business intelligence, and AI tools
Root Cause Analysis
Automatic root cause identification and impact assessment with end-to-end field-level lineage for data issues
Proactive Issue Detection
Proactive identification of data issues across the data stack before stakeholder notification
Data Lineage and Cataloging
Automatic field-level lineage tracking and centralized data cataloging for data asset accessibility, location, health, and ownership
Multi-Stack Integration
End-to-end observability platform supporting data warehouses, data lakes, ETL systems, business intelligence tools, and AI applications
Machine Learning-Based Anomaly Detection
Fully automatic ML-based detection of data anomalies and anomalies across manufacturing data sources without requiring user supervision
Time Series Data Processing
Scalable processing across millions of time series data streams with fast ML model generation and deployment capabilities
Data Quality Metrics and Visualization
Comprehensive data quality metrics including Data Quality Index with hierarchical navigation and detailed issue tracking through web-based interface
Multi-Source Data Integration
Support for manufacturing data from automation equipment, Industrial IoT, laboratory systems, environmental measurement systems, and time series databases
System Integration and Notifications
Integration with existing IT and operations technology systems including APIs and notification systems for data quality event management
Standard contract
No
No
Customer reviews
Jaime W.
ETL Monitoring Made Simple
Reviewed on Apr 02, 2025
Review provided by G2
What do you like best about the product?
I like how at its core the Bigeye concepts are simple and easy to understand at a glance, buy still manages to offer more technical features for those able to leverage them.
What do you dislike about the product?
There are some features and integrations we're still waiting for that are particular to our tech stack.
What problems is the product solving and how is that benefiting you?
Bigeye is helping us democratize data quality monitoring as well as monitor our data operations.
Information Technology and Services
Easy to use tool for quick data quality checks
Reviewed on Mar 01, 2024
Review provided by G2
What do you like best about the product?
It's easy to create freshness and volume checks. The custom checks via sql have proven value as well. Easy to connect to sources and use the agent
What do you dislike about the product?
workspace management has been a bit much. i have 10 different connections to the same snowflake account. Sales team mightve promised things that engineering/customer support werent ready to deliver.
What problems is the product solving and how is that benefiting you?
data loads from source systems into snowflake. this helps monitor job performance
Consulting
Has a lot of potential
Reviewed on Feb 20, 2024
Review provided by G2
What do you like best about the product?
I like that it is mostly user friendly and easy to integrate your data into. Customer service is also great
What do you dislike about the product?
Some things could be more intuitive. It can be a big challenge for those not familiar with SQL to learn and understand.
What problems is the product solving and how is that benefiting you?
It is helping us monitor data in our databases. There are lot of moving parts and sometimes nulls can appear when they shouldn't. BigEye is helping with that.
Sports
Using BigEye to check database and model performance
Reviewed on Feb 16, 2024
Review provided by G2
What do you like best about the product?
Reporting on model predictions and data quality.
What do you dislike about the product?
No major complaints at this time regarding Bigeye. Would be cool to have even more interactive Slack notifications.
What problems is the product solving and how is that benefiting you?
Reports on model performance and data quality. Really like being able to set flags for errors we would sometimes miss. With part of our data eng team based internationally, this allows errors to often be fixed before we even wake up.
Mental Health Care
Using BigEye to monitor snowflake performance
Reviewed on Feb 13, 2024
Review provided by G2
What do you like best about the product?
It's a good tool that can tell me if there's something went wrong with the data like having null values or similar
What do you dislike about the product?
It's a great tool for operational review and acting on errors
What problems is the product solving and how is that benefiting you?
Monitoring the reliability of the pipelines we use across the company