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features
design
support

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Write a Review

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

DataKitchen is a DataOps platform designed to help data engineering and analytics teams improve data quality, automate workflows, and monitor complex data environments. The software provides three primary products covering automated data testing, end-to-end process observability, and data pipeline orchestration. DataOps Data Quality TestGen profiles database tables and columns to automatically generate validation tests based on data characteristics, patterns, and quality requirements. Its testing capabilities identify anomalies, schema changes, missing values, duplicate records, and other data issues that could affect downstream analytics. DataOps Process Observability monitors data journeys across multiple pipelines, datasets, applications, and teams to identify failures and processing delays. Its monitoring tools consolidate operational events, execution statuses, metrics, and test results into dashboards with configurable alerts. DataOps Automation coordinates pipeline execution, manages isolated development environments, automates deployments, and embeds testing throughout data workflows. The platform integrates with existing technologies such as Snowflake, Databricks, BigQuery, Redshift, Airflow, dbt, and Azure Data Factory without requiring organizations to replace their data infrastructure. DataKitchen offers Apache 2.0 open-source editions of TestGen and Observability, along with enterprise capabilities for collaboration, security, deployment management, and technical support.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Google Cloud BigQuery Yes 
PostgreSQL Yes 
SQL Server Yes 
Slack Yes 
Snowflake Yes 
AWS CloudFormation Yes 
Alation Yes 
Amazon Redshift Yes 
Amazon Web Services (AWS) Yes 
Databricks Yes 
Datadog Yes 
GitHub No 
HubSpot CRM Yes 
HubSpot Customer Platform Yes 
Jenkins No 
Jira No 
MySQL Yes 
PagerDuty Yes 
SAP Cloud Platform Yes 

Integrations

Google Cloud BigQuery Yes 
PostgreSQL Yes 
SQL Server Yes 
Slack Yes 
Snowflake Yes 
AWS CloudFormation No 
Alation No 
Amazon Redshift No 
Amazon Web Services (AWS) No 
Databricks No 
Datadog No 
GitHub Yes 
HubSpot CRM No 
HubSpot Customer Platform No 
Jenkins Yes 
Jira Yes 
MySQL No 
PagerDuty No 
SAP Cloud Platform No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version 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 

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 No 

Types of Training

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

Types of Training

Training Docs No 
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

DataKitchen

Founded

2013

Country

United States

Website

datakitchen.io

Product Features

Automated Testing

Hierarchical View No 
Move & Copy No 
Parameterized Testing No 
Requirements-Based Testing No 
Security Testing No 
Supports Parallel Execution No 
Test Script Reviews No 
Unicode Compliance 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

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