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What is Pantomath?

Organizations are increasingly striving to embrace a data-driven approach, integrating dashboards, analytics, and data pipelines within the modern data framework. Despite this trend, many face considerable obstacles regarding data reliability, which can result in poor business decisions and a pervasive mistrust of data, ultimately impacting their financial outcomes. Tackling these complex data issues often demands significant labor and collaboration among diverse teams, who rely on informal knowledge to meticulously dissect intricate data pipelines that traverse multiple platforms, aiming to identify root causes and evaluate their effects. Pantomath emerges as a viable solution, providing a data pipeline observability and traceability platform that aims to optimize data operations. By offering continuous monitoring of datasets and jobs within the enterprise data environment, it delivers crucial context for complex data pipelines through the generation of automated cross-platform technical lineage. This level of automation not only improves overall efficiency but also instills greater confidence in data-driven decision-making throughout the organization, paving the way for enhanced strategic initiatives and long-term success. Ultimately, by leveraging Pantomath’s capabilities, organizations can significantly mitigate the risks associated with unreliable data and foster a culture of trust and informed decision-making.

What is Astro by Astronomer?

Astronomer serves as the key player behind Apache Airflow, which has become the industry standard for defining data workflows through code. With over 4 million downloads each month, Airflow is actively utilized by countless teams across the globe. To enhance the accessibility of reliable data, Astronomer offers Astro, an advanced data orchestration platform built on Airflow. This platform empowers data engineers, scientists, and analysts to create, execute, and monitor pipelines as code. Established in 2018, Astronomer operates as a fully remote company with locations in Cincinnati, New York, San Francisco, and San Jose. With a customer base spanning over 35 countries, Astronomer is a trusted ally for organizations seeking effective data orchestration solutions. Furthermore, the company's commitment to innovation ensures that it stays at the forefront of the data management landscape.

Media

Media

Integrations Supported

Databricks Data Intelligence Platform
Fivetran
Opsgenie
PagerDuty
SQL Server
Slack
Snowflake
Tableau
Azure Data Factory
Celery
Jira
Microsoft Power BI
Okta
Qubole
SAP BusinessObjects Business Intelligence
SQLite
Segment
Yandex
Zendesk
dbt

Integrations Supported

Databricks Data Intelligence Platform
Fivetran
Opsgenie
PagerDuty
SQL Server
Slack
Snowflake
Tableau
Azure Data Factory
Celery
Jira
Microsoft Power BI
Okta
Qubole
SAP BusinessObjects Business Intelligence
SQLite
Segment
Yandex
Zendesk
dbt

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Pantomath

Date Founded

2022

Company Location

United States

Company Website

www.getpantomath.com

Company Facts

Organization Name

Astronomer

Date Founded

2018

Company Location

United States

Company Website

www.astronomer.io

Categories and Features

Categories and Features

Big Data

Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates

Data Extraction

Disparate Data Collection
Document Extraction
Email Address Extraction
IP Address Extraction
Image Extraction
Phone Number Extraction
Pricing Extraction
Web Data Extraction

Data Governance

Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

Data Preparation

Collaboration Tools
Data Access
Data Blending
Data Cleansing
Data Governance
Data Mashup
Data Modeling
Data Transformation
Machine Learning
Visual User Interface

DevOps

Approval Workflow
Dashboard
KPIs
Policy Management
Portfolio Management
Prioritization
Release Management
Timeline Management
Troubleshooting Reports

Integration

Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services

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