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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

DQOps is a data quality monitoring platform for data teams that helps detect and address quality issues before they impact your business. Track data quality KPIs on data quality dashboards and reach a 100% data quality score. DQOps helps monitor data warehouses and data lakes on the most popular data platforms. DQOps offers a built-in list of predefined data quality checks verifying key data quality dimensions. The extensibility of the platform allows you to modify existing checks or add custom, business-specific checks as needed. The DQOps platform easily integrates with DevOps environments and allows data quality definitions to be stored in a source repository along with the data pipeline code.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Amazon Athena Yes 
Amazon Redshift Yes 
Amazon Web Services (AWS) Yes 
Google Cloud BigQuery Yes 
MySQL Yes 
PostgreSQL Yes 
Presto Yes 
SQL Server Yes 
Slack Yes 
Snowflake Yes 
Apache Airflow No 
Apache Spark No 
Azure Databricks No 
Databricks Yes 
Datadog Yes 
HubSpot Customer Platform Yes 
Oracle Cloud Infrastructure Yes 
PagerDuty Yes 
SAP Cloud Platform Yes 
Sudozi Yes 

Integrations

Amazon Athena Yes 
Amazon Redshift Yes 
Amazon Web Services (AWS) Yes 
Google Cloud BigQuery Yes 
MySQL Yes 
PostgreSQL Yes 
Presto Yes 
SQL Server Yes 
Slack Yes 
Snowflake Yes 
Apache Airflow Yes 
Apache Spark Yes 
Azure Databricks Yes 
Databricks No 
Datadog No 
HubSpot Customer Platform No 
Oracle Cloud Infrastructure No 
PagerDuty No 
SAP Cloud Platform No 
Sudozi No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

$499 per month
Free Trial No 
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 Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
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 No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Bigeye

Country

United States

Website

www.bigeye.com

Vendor Details

Company Name

DQOps

Founded

2021

Country

Poland

Website

dqops.com

Product Features

Data Quality

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

Alternatives

Alternatives

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