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What is Kestra?

Kestra serves as a free, open-source event-driven orchestrator that enhances data operations and fosters better collaboration among engineers and users alike. By introducing Infrastructure as Code to data pipelines, Kestra empowers users to construct dependable workflows with assurance. With its user-friendly declarative YAML interface, individuals interested in analytics can easily engage in the development of data pipelines. Additionally, the user interface seamlessly updates the YAML definitions in real-time as modifications are made to workflows through the UI or API interactions. This means that the orchestration logic can be articulated in a declarative manner in code, allowing for flexibility even when certain components of the workflow undergo changes. Ultimately, Kestra not only simplifies data operations but also democratizes the process of pipeline creation, making it accessible to a wider audience.

What is GlassFlow?

GlassFlow represents a cutting-edge, serverless solution designed for crafting event-driven data pipelines, particularly suited for Python developers. It empowers users to construct real-time data workflows without the burdens typically associated with conventional infrastructure platforms like Kafka or Flink. By simply writing Python functions for data transformations, developers can let GlassFlow manage the underlying infrastructure, which offers advantages such as automatic scaling, low latency, and effective data retention. The platform effortlessly connects with various data sources and destinations, including Google Pub/Sub, AWS Kinesis, and OpenAI, through its Python SDK and managed connectors. Featuring a low-code interface, it enables users to quickly establish and deploy their data pipelines within minutes. Moreover, GlassFlow is equipped with capabilities like serverless function execution, real-time API connections, alongside alerting and reprocessing functionalities. This suite of features positions GlassFlow as a premier option for Python developers seeking to optimize the creation and oversight of event-driven data pipelines, significantly boosting their productivity and operational efficiency. As the dynamics of data management continue to transform, GlassFlow stands out as an essential instrument in facilitating smoother data processing workflows, thereby catering to the evolving needs of modern developers.

Media

Media

Integrations Supported

Apache Kafka
Debezium
Docker
Kubernetes
OpenAI
Python
Weaviate
Airbyte
Apache Cassandra
Apache Groovy
Apache Pinot
Apache Pulsar
Apache Spark
ClickHouse
Databricks
Elasticsearch
Git
PowerShell
Redis
Vertica

Integrations Supported

Apache Kafka
Debezium
Docker
Kubernetes
OpenAI
Python
Weaviate
Airbyte
Apache Cassandra
Apache Groovy
Apache Pinot
Apache Pulsar
Apache Spark
ClickHouse
Databricks
Elasticsearch
Git
PowerShell
Redis
Vertica

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$350 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

Kestra

Date Founded

2022

Company Location

France

Company Website

kestra.io

Company Facts

Organization Name

GlassFlow

Date Founded

2023

Company Location

Germany

Company Website

www.glassflow.dev/

Categories and Features

Categories and Features

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