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About

Prevent data outages by identifying and fixing data quality issues before they get into production. Go from 0 to 100% test coverage of your data pipelines in a day. Know the impact of each code change with automatic regression testing across billions of rows. Automate change management, improve data literacy, achieve compliance, and reduce incident response time. Don’t let data incidents take you by surprise. Be the first one to know with automated anomaly detection. Datafold’s easily adjustable ML model adapts to seasonality and trend patterns in your data to construct dynamic thresholds. Save hours spent on trying to understand data. Use the Data Catalog to find relevant datasets, fields, and explore distributions easily with an intuitive UI. Get interactive full-text search, data profiling, and consolidation of metadata in one place.

About

Organizations continuously strive to be more data-driven, building dashboards, analytics, and data pipelines across the modern data stack. Unfortunately, most organizations struggle with data reliability issues leading to poor business decisions and lack of trust in data as an organization, directly impacting their bottom line. Resolving complex data issues is a manual and time-consuming process involving multiple teams all relying on tribal knowledge to manually reverse engineer complex data pipelines across different platforms to identify root-cause and understand the impact. Pantomath is a data pipeline observability and traceability platform for automating data operations. It continuously monitors datasets and jobs across the enterprise data ecosystem providing context to complex data pipelines by creating automated cross-platform technical pipeline lineage.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Data observability platform that helps companies prevent data catastrophes

Audience

Organizations searching for an end-to-end observability and traceability solution for data pipelines

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Supported
In Person Not Supported

Training

Documentation Not Supported
Webinars Not Supported
Live Online Supported
In Person Not Supported

Company Information

Datafold
United States
www.datafold.com

Company Information

Pantomath
Founded: 2022
United States
www.getpantomath.com

Alternatives

DataBuck

DataBuck

FirstEigen

Alternatives

Categories

Data Observability Supported
Data Quality Supported
DataOps Supported
Regression Testing Supported

Categories

Data Observability Supported
Data Pipeline Supported

Integrations

Amazon Redshift Supported
Apache Airflow Supported
Google Cloud BigQuery Supported
PagerDuty Supported
Slack Supported
Snowflake Supported
dbt Supported
Amundsen Supported
Astro by Astronomer Not Supported
Azure Databricks Supported
Databricks Not Supported
Fivetran Not Supported
Google Cloud Dataflow Not Supported
Google Cloud Managed Service for Apache Spark Not Supported
Google Workspace Not Supported
IBM DataStage Not Supported
Microsoft Power BI Not Supported
PostgreSQL Supported
Qlik Compose Not Supported
Tableau Not Supported

Integrations

Amazon Redshift Supported
Apache Airflow Supported
Google Cloud BigQuery Supported
PagerDuty Supported
Slack Supported
Snowflake Supported
dbt Supported
Amundsen Not Supported
Astro by Astronomer Supported
Azure Databricks Not Supported
Databricks Supported
Fivetran Supported
Google Cloud Dataflow Supported
Google Cloud Managed Service for Apache Spark Supported
Google Workspace Supported
IBM DataStage Supported
Microsoft Power BI Supported
PostgreSQL Not Supported
Qlik Compose Supported
Tableau Supported
Claim Datafold and update features and information
Claim Datafold and update features and information
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