Related Products
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About
Save hours developing and maintaining ETL/ELT data pipelines in an easy-to-use environment made for effortless debugging. Visualize changes pre-deployment to ease dev processes, expedite testing, and simplify debugging. Foster team collaboration and save time on the most painful development stages by working with Python and our easy-to-use interface. Consolidate any amount of data, in any format and from endless sources with zero data storing processing hesitations. Guarantee the most accurate data with error flagging and real-time debugging within specific data processes and across pipelines in their entirety. Utilize compute, storage, and network bandwidth to efficiently auto-scale your infrastructure as data volume and velocity increase. Identify and pinpoint issues with real-time data observability tools, zoom in, and troubleshoot data pipelines thoroughly and accurately.
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About
GlassFlow is a serverless, event-driven data pipeline platform designed for Python developers. It enables users to build real-time data pipelines without the need for complex infrastructure like Kafka or Flink. By writing Python functions, developers can define data transformations, and GlassFlow manages the underlying infrastructure, offering auto-scaling, low latency, and optimal data retention. The platform supports integration with various data sources and destinations, including Google Pub/Sub, AWS Kinesis, and OpenAI, through its Python SDK and managed connectors. GlassFlow provides a low-code interface for quick pipeline setup, allowing users to create and deploy pipelines within minutes. It also offers features such as serverless function execution, real-time API connections, and alerting and reprocessing capabilities. The platform is designed to simplify the creation and management of event-driven data pipelines, making it accessible for Python developers.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Companies looking for a Data Orchestration Environment platform to shorten their data-to-value journey
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Audience
Developers wanting a tool to create event-driven data pipelines in minutes
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Not Supported
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API
Offers API
Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
Free
Credit based pricing system
Free Version
Supported
Free Trial
Supported
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Pricing
$350 per month
Free Version
Supported
Free Trial
Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Supported
Live Online
Not Supported
In Person
Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Supported
In Person
Not Supported
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Company InformationDatorios
Founded: 2020
United States
datorios.com
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Company InformationGlassFlow
Founded: 2023
Germany
www.glassflow.dev/
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Alternatives |
Alternatives |
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Categories |
Categories |
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Data Management Features
Customer Data
Not Supported
Data Analysis
Not Supported
Data Capture
Not Supported
Data Integration
Supported
Data Migration
Supported
Data Quality Control
Not Supported
Data Security
Not Supported
Information Governance
Supported
Master Data Management
Not Supported
Match & Merge
Not Supported
ETL Features
Data Analysis
Not Supported
Data Filtering
Supported
Data Quality Control
Not Supported
Job Scheduling
Supported
Match & Merge
Supported
Metadata Management
Not Supported
Non-Relational Transformations
Supported
Version Control
Supported
Integration Features
Dashboard
Supported
ETL - Extract / Transform / Load
Supported
Metadata Management
Not Supported
Multiple Data Sources
Supported
Web Services
Not Supported
Master Data Management Features
Data Governance
Supported
Data Masking
Not Supported
Data Source Integrations
Supported
Hierarchy Management
Not Supported
Match & Merge
Not Supported
Metadata Management
Supported
Multi-Domain
Not Supported
Process Management
Supported
Relationship Mapping
Supported
Visualization
Not Supported
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Integrations
Amazon Kinesis
Not Supported
Apache Flink
Not Supported
Apache Kafka
Not Supported
Debezium
Not Supported
Docker
Not Supported
Google Cloud Pub/Sub
Not Supported
JSON
Not Supported
Kubernetes
Not Supported
OpenAI
Not Supported
Python
Not Supported
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Integrations
Amazon Kinesis
Supported
Apache Flink
Supported
Apache Kafka
Supported
Debezium
Supported
Docker
Supported
Google Cloud Pub/Sub
Supported
JSON
Supported
Kubernetes
Supported
OpenAI
Supported
Python
Supported
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