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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 AWS Data Pipeline?

AWS Data Pipeline is a cloud service designed to facilitate the dependable transfer and processing of data between various AWS computing and storage platforms, as well as on-premises data sources, following established schedules. By leveraging AWS Data Pipeline, users gain consistent access to their stored information, enabling them to conduct extensive transformations and processing while effortlessly transferring results to AWS services such as Amazon S3, Amazon RDS, Amazon DynamoDB, and Amazon EMR. This service greatly simplifies the setup of complex data processing tasks that are resilient, repeatable, and highly dependable. Users benefit from the assurance that they do not have to worry about managing resource availability, inter-task dependencies, transient failures, or timeouts, nor do they need to implement a system for failure notifications. Additionally, AWS Data Pipeline allows users to efficiently transfer and process data that was previously locked away in on-premises data silos, which significantly boosts overall data accessibility and utility. By enhancing the workflow, this service not only makes data handling more efficient but also encourages better decision-making through improved data visibility. The result is a more streamlined and effective approach to managing data in the cloud.

Media

Media

Integrations Supported

Amazon S3
AWS App Mesh
Amazon Redshift
Apache Airflow
Auth0
BMC Helix Control-M
Dataiku
Fivetran
Google Chat
Google Cloud Data Fusion
Google Cloud Dataproc
Google Workspace
HVR
Looker
Microsoft Teams
Okta
PagerDuty
Qlik Sense
Talend Data Integration
dbt

Integrations Supported

Amazon S3
AWS App Mesh
Amazon Redshift
Apache Airflow
Auth0
BMC Helix Control-M
Dataiku
Fivetran
Google Chat
Google Cloud Data Fusion
Google Cloud Dataproc
Google Workspace
HVR
Looker
Microsoft Teams
Okta
PagerDuty
Qlik Sense
Talend Data Integration
dbt

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$1 per month
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

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/datapipeline/

Categories and Features

Categories and Features

ETL

Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control

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