Sold by: BigeyeÂ
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.
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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Delivery method
Deployed on AWS
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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 |
|---|---|---|
100 Tables | 100 Table Monitoring Capacity | $45,000.00 |
200 Tables | 250 Table Monitoring Capacity | $65,000.00 |
Vendor refund policy
No Refunds
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA)Â .
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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.
Updated weekly
By Bigeye
By Decube Data Pte Ltd
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
Ease of use
Customer service
Cost effectiveness
Positive reviews
Mixed reviews
Negative reviews
AI generated from product descriptions
Data Monitoring
Automated data quality monitoring with over 70 predefined metrics and machine learning-powered anomaly detection
Pipeline Health Tracking
Comprehensive health monitoring across data warehouses with instant visibility into pipeline performance
Anomaly Detection
ML-powered detection system to identify and prevent potential data quality issues before they impact business operations
Configuration Management
Flexible deployment through UI and programmatic YAML-based configuration for scalable monitoring setup
Data Lineage Analysis
Automatic upstream and downstream pipeline analysis to trace data flow and understand interdependencies
Machine Learning Anomaly Detection
Automated machine learning engines for detecting data quality issues across databases without user supervision
Data Stream Scalability
Capable of processing and analyzing millions of time series data streams with rapid machine learning model generation
Multi-System Integration
Supports comprehensive API interactions and integration with existing notification and operational technology systems
Data Quality Metrics
Provides advanced metrics like Data Quality Index for comprehensive data quality assessment and visualization
Industrial Data Focus
Specialized platform for analyzing data from automation equipment, Industrial IoT, laboratory, and environmental measurement systems
Data Quality Monitoring
Automated and custom data quality test functionality with continuous monitoring across data infrastructure and pipelines
Data Classification
Automated classification of data based on sensitivity levels to prioritize security efforts
Data Lineage Tracking
Comprehensive visibility of data journey from source to destination across different systems
Access Management
Granular access control with group management and policy enforcement capabilities
Integration Capabilities
Native integration with multiple data stack components and communication tools for comprehensive data observability
Standard contract
No
No
Customer reviews
0 ratings
0 AWS reviews
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22 external reviews
Star ratings include only reviews from verified AWS customers. External reviews can also include a star rating, but star ratings from external reviews are not averaged in with the AWS customer star ratings.
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