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features
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support

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Description

Bigeye is a platform designed for data observability that empowers teams to effectively assess, enhance, and convey the quality of data at any scale. When data quality problems lead to outages, it can erode business confidence in the data. Bigeye aids in restoring that trust, beginning with comprehensive monitoring. It identifies missing or faulty reporting data before it reaches executives in their dashboards, preventing potential misinformed decisions. Additionally, it alerts users about issues with training data prior to model retraining, helping to mitigate the anxiety that stems from the uncertainty of data accuracy. The statuses of pipeline jobs often fail to provide a complete picture, highlighting the necessity of actively monitoring the data itself to ensure its suitability for use. By keeping track of dataset-level freshness, organizations can confirm pipelines are functioning correctly, even in the event of ETL orchestrator failures. Furthermore, the platform allows you to stay informed about modifications in event names, region codes, product types, and other categorical data, while also detecting any significant fluctuations in row counts, nulls, and blank values to make sure that the data is being populated as expected. Overall, Bigeye turns data quality management into a proactive process, ensuring reliability and trustworthiness in data handling.

Description

In 30 minutes, you can monitor your entire warehouse. Automated warehouse-to-BI lineage can identify downstream impacts. Trust can be lost in seconds and regained in months. With modern data-era observability, you can have peace of mind. It can be difficult to get the coverage you need with code-based tests. They take hours to create and maintain. Metaplane allows you to add hundreds of tests in minutes. Foundational tests (e.g. We support foundational tests (e.g. row counts, freshness and schema drift), more complicated tests (distribution shifts, nullness shiftings, enum modifications), custom SQL, as well as everything in between. Manual thresholds can take a while to set and quickly become outdated as your data changes. Our anomaly detection algorithms use historical metadata to detect outliers. To minimize alert fatigue, monitor what is important, while also taking into account seasonality, trends and feedback from your team. You can also override manual thresholds.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Amazon Redshift Yes 
Google Cloud BigQuery Yes 
MySQL Yes 
PagerDuty Yes 
PostgreSQL Yes 
SQL Server Yes 
Slack Yes 
Snowflake Yes 
Alation Yes 
Amazon Athena Yes 
Amazon Web Services (AWS) Yes 
Databricks Yes 
Metabase No 
Mode No 
Presto Yes 
SAP Cloud Platform Yes 
Salesforce Yes 
Sigma No 
Tableau No 

Integrations

Amazon Redshift Yes 
Google Cloud BigQuery Yes 
MySQL Yes 
PagerDuty Yes 
PostgreSQL Yes 
SQL Server Yes 
Slack Yes 
Snowflake Yes 
Alation No 
Amazon Athena No 
Amazon Web Services (AWS) No 
Databricks No 
Metabase Yes 
Mode Yes 
Presto No 
SAP Cloud Platform No 
Salesforce No 
Sigma Yes 
Tableau Yes 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

$825 per month
Free Trial Yes 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Bigeye

Country

United States

Website

www.bigeye.com

Vendor Details

Company Name

Metaplane

Country

United States

Website

www.metaplane.dev/

Product Features

Data Lineage

Database Change Impact Analysis No 
Filter Lineage Links No 
Implicit Connection Discovery No 
Lineage Object Filtering No 
Object Lineage Tracing No 
Point-in-Time Visibility No 
User/Client/Target Connection Visibility No 
Visual & Text Lineage View No 

Data Quality

Address Validation No 
Data Deduplication No 
Data Discovery No 
Data Profililng No 
Master Data Management No 
Match & Merge No 
Metadata Management No 

Alternatives

Alternatives

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