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Average Ratings 0 Ratings

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ease
features
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support

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Write a Review

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

Managed Service for Apache Airflow is a cloud-based workflow orchestration service that simplifies the creation and management of complex data pipelines. Built on the open-source Apache Airflow framework, it allows users to define workflows using Python-based DAGs. The platform is fully managed, removing the need to provision or maintain infrastructure, which helps teams focus on pipeline development and execution. It integrates with a wide range of Google Cloud services, including BigQuery, Dataflow, Cloud Storage, and Managed Service for Apache Spark. The service supports hybrid and multi-cloud environments, enabling organizations to orchestrate workflows across different platforms. It offers advanced monitoring and troubleshooting tools, including visual workflow representations and logs. New features such as DAG versioning and improved scheduling enhance reliability and control. The platform also supports CI/CD pipelines and DevOps automation use cases. Its open-source foundation ensures flexibility and avoids vendor lock-in. Overall, it provides a powerful and scalable solution for managing data workflows and automation processes.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Google Cloud Pub/Sub Yes 
Python Yes 
Amazon Kinesis Yes 
Apache Airflow No 
Apache Flink Yes 
Apache Kafka Yes 
Control-M No 
Dataform No 
Debezium Yes 
Docker Yes 
Google Cloud AI Infrastructure No 
Google Cloud BigQuery No 
Google Cloud Dataflow No 
Google Cloud Datastore No 
Google Cloud Storage No 
IBM watsonx.data integration No 
JSON Yes 
Kubernetes Yes 
OpenAI Yes 
Pantomath No 

Integrations

Google Cloud Pub/Sub Yes 
Python Yes 
Amazon Kinesis No 
Apache Airflow Yes 
Apache Flink No 
Apache Kafka No 
Control-M Yes 
Dataform Yes 
Debezium No 
Docker No 
Google Cloud AI Infrastructure Yes 
Google Cloud BigQuery Yes 
Google Cloud Dataflow Yes 
Google Cloud Datastore Yes 
Google Cloud Storage Yes 
IBM watsonx.data integration Yes 
JSON No 
Kubernetes No 
OpenAI No 
Pantomath Yes 

Pricing Details

$350 per month
Free Trial Yes 
Free Version Yes 

Pricing Details

$0.074 per vCPU hour
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 No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

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

Types of Training

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

Types of Training

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

Vendor Details

Company Name

GlassFlow

Founded

2023

Country

Germany

Website

www.glassflow.dev/

Vendor Details

Company Name

Google

Founded

1998

Country

United States

Website

cloud.google.com/products/managed-service-for-apache-airflow

Product Features

Product Features

Alternatives

Alternatives

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