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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

Elementary is a platform focused on data observability and reliability tailored for analytics and data engineering groups. It provides comprehensive monitoring of data pipelines and warehouse assets, identifying anomalies related to freshness, volume, schema, and quality, while integrating results from dbt and custom tests into a unified interface. Teams can delve into incidents, trace impacts at the column level, assess data health and performance, and oversee asset descriptions, ownership, and governance protocols. The addition of Elementary Cloud enhances the platform with dashboards, alert routing, collaborative features, a catalog, and AI-driven workflows. Furthermore, an open-source self-hosting option facilitates code-first monitoring within the client's environment. The platform seamlessly integrates with various tools including warehouse, transformation, BI, orchestration, coding, and messaging systems. Its MCP server enables the connection of AI tools with the contextual data from Elementary. Catering to the needs of data, analytics, and platform teams, it also assists business users in locating, verifying, monitoring, and comprehending their data. Ultimately, Elementary empowers organizations to uphold data integrity and enhance decision-making processes through better visibility and collaboration.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

No images available

Integrations

Amazon Redshift Yes 
Databricks Yes 
Google Cloud BigQuery Yes 
PagerDuty Yes 
Slack Yes 
Snowflake Yes 
AWS CloudFormation Yes 
Alation Yes 
Amazon Athena Yes 
Datadog Yes 
HubSpot CRM Yes 
HubSpot Customer Platform Yes 
Model Context Protocol (MCP) No 
MySQL Yes 
Oracle Cloud Infrastructure Yes 
Presto Yes 
SAP Cloud Platform Yes 
Salesforce Yes 
Tableau No 

Integrations

Amazon Redshift Yes 
Databricks Yes 
Google Cloud BigQuery Yes 
PagerDuty Yes 
Slack Yes 
Snowflake Yes 
AWS CloudFormation No 
Alation No 
Amazon Athena No 
Datadog No 
HubSpot CRM No 
HubSpot Customer Platform No 
Model Context Protocol (MCP) Yes 
MySQL No 
Oracle Cloud Infrastructure No 
Presto No 
SAP Cloud Platform No 
Salesforce No 
Tableau Yes 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

Elementary Cloud pricing is based on seats and environments. Scale includes up to 10 editor seats and 1,000 tables; Enterprise includes up to 20 editor seats, 40 viewer seats, and 3,000 tables; Unlimited includes unlimited seats and 3,000 tables. Additional monitored-table capacity and AI Layer credits incur extra charges.
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) No 
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 Yes 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Bigeye

Country

United States

Website

www.bigeye.com

Vendor Details

Company Name

Elementary Data

Founded

2021

Country

Israel

Website

www.elementary-data.com

Product Features

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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