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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Organizations are increasingly focused on becoming more data-driven, implementing dashboards, analytics, and data pipelines throughout the contemporary data landscape. However, many organizations face significant challenges with data reliability, which can lead to misguided business decisions and a general mistrust in data that negatively affects their financial performance. Addressing intricate data challenges is often a labor-intensive process that requires collaboration among various teams, all of whom depend on informal knowledge to painstakingly reverse engineer complex data pipelines spanning multiple platforms in order to pinpoint root causes and assess their implications. Pantomath offers a solution as a data pipeline observability and traceability platform designed to streamline data operations. By continuously monitoring datasets and jobs within the enterprise data ecosystem, it provides essential context for complex data pipelines by generating automated cross-platform technical pipeline lineage. This automation not only enhances efficiency but also fosters greater confidence in data-driven decision-making across the organization.

Description

Microservices architecture enables efficient streaming and batch data processing specifically designed for platforms like Cloud Foundry and Kubernetes. By utilizing Spring Cloud Data Flow, users can effectively design intricate topologies for their data pipelines, which feature Spring Boot applications developed with the Spring Cloud Stream or Spring Cloud Task frameworks. This powerful tool caters to a variety of data processing needs, encompassing areas such as ETL, data import/export, event streaming, and predictive analytics. The Spring Cloud Data Flow server leverages Spring Cloud Deployer to facilitate the deployment of these data pipelines, which consist of Spring Cloud Stream or Spring Cloud Task applications, onto contemporary infrastructures like Cloud Foundry and Kubernetes. Additionally, a curated selection of pre-built starter applications for streaming and batch tasks supports diverse data integration and processing scenarios, aiding users in their learning and experimentation endeavors. Furthermore, developers have the flexibility to create custom stream and task applications tailored to specific middleware or data services, all while adhering to the user-friendly Spring Boot programming model. This adaptability makes Spring Cloud Data Flow a valuable asset for organizations looking to optimize their data workflows.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Active Directory Yes 
Apache Airflow Yes 
Apache Tomcat No 
Azure Data Factory Yes 
Fivetran Yes 
Google Chat Yes 
Google Cloud BigQuery Yes 
Google Cloud Data Fusion Yes 
Google Cloud Managed Service for Apache Spark Yes 
Google Cloud Storage Yes 
Informatica Cloud Application Integration Yes 
Looker Yes 
Microsoft Power BI Yes 
Microsoft Teams Yes 
Okta Yes 
Qlik Compose Yes 
Spring Framework No 
Tableau Yes 
Talend Data Integration Yes 
VMware Cloud No 

Integrations

Active Directory No 
Apache Airflow No 
Apache Tomcat Yes 
Azure Data Factory No 
Fivetran No 
Google Chat No 
Google Cloud BigQuery No 
Google Cloud Data Fusion No 
Google Cloud Managed Service for Apache Spark No 
Google Cloud Storage No 
Informatica Cloud Application Integration No 
Looker No 
Microsoft Power BI No 
Microsoft Teams No 
Okta No 
Qlik Compose No 
Spring Framework Yes 
Tableau No 
Talend Data Integration No 
VMware Cloud Yes 

Pricing Details

No price information available.
Free Trial No 
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 Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

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

Types of Training

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

Vendor Details

Company Name

Pantomath

Founded

2022

Country

United States

Website

www.getpantomath.com

Vendor Details

Company Name

Spring

Website

spring.io/projects/spring-cloud-dataflow

Alternatives

Alternatives

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