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ease
features
design
support

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Description

GlassFlow is an innovative, serverless platform for building event-driven data pipelines, specifically tailored for developers working with Python. It allows users to create real-time data workflows without the complexities associated with traditional infrastructure solutions like Kafka or Flink. Developers can simply write Python functions to specify data transformations, while GlassFlow takes care of the infrastructure, providing benefits such as automatic scaling, low latency, and efficient data retention. The platform seamlessly integrates with a variety of data sources and destinations, including Google Pub/Sub, AWS Kinesis, and OpenAI, utilizing its Python SDK and managed connectors. With a low-code interface, users can rapidly set up and deploy their data pipelines in a matter of minutes. Additionally, GlassFlow includes functionalities such as serverless function execution, real-time API connections, as well as alerting and reprocessing features. This combination of capabilities makes GlassFlow an ideal choice for Python developers looking to streamline the development and management of event-driven data pipelines, ultimately enhancing their productivity and efficiency. As the data landscape continues to evolve, GlassFlow positions itself as a pivotal tool in simplifying data processing workflows.

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.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Active Directory
Apache Airflow
Apache Kafka
Astro by Astronomer
Azure Data Factory
Azure Data Lake Storage
Databricks
Dataiku
Fivetran
Google Chat
Google Cloud BigQuery
Google Cloud Managed Service for Apache Spark
Google Cloud Storage
JSON
Microsoft Power BI
Microsoft Teams
OpenAI
PagerDuty
Qlik Sense
Slack

Integrations

Active Directory
Apache Airflow
Apache Kafka
Astro by Astronomer
Azure Data Factory
Azure Data Lake Storage
Databricks
Dataiku
Fivetran
Google Chat
Google Cloud BigQuery
Google Cloud Managed Service for Apache Spark
Google Cloud Storage
JSON
Microsoft Power BI
Microsoft Teams
OpenAI
PagerDuty
Qlik Sense
Slack

Pricing Details

$350 per month
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

GlassFlow

Founded

2023

Country

Germany

Website

www.glassflow.dev/

Vendor Details

Company Name

Pantomath

Founded

2022

Country

United States

Website

www.getpantomath.com

Product Features

Alternatives

Alternatives

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