Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
IBM® StreamSets allows users to create and maintain smart streaming data pipelines using an intuitive graphical user interface. This facilitates seamless data integration in hybrid and multicloud environments. IBM StreamSets is used by leading global companies to support millions data pipelines, for modern analytics and intelligent applications.
Reduce data staleness, and enable real-time information at scale. Handle millions of records across thousands of pipelines in seconds.
Drag-and-drop processors that automatically detect and adapt to data drift will protect your data pipelines against unexpected changes and shifts.
Create streaming pipelines for ingesting structured, semistructured, or unstructured data to deliver it to multiple destinations.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
Amazon Kinesis
Yes
Amazon Redshift
No
Amazon S3
No
Apache Cassandra
No
Apache Flink
Yes
Azure Data Lake Storage
No
CrateDB
No
Debezium
Yes
Docker
Yes
Elasticsearch
No
Integrations
Amazon Kinesis
No
Amazon Redshift
Yes
Amazon S3
Yes
Apache Cassandra
Yes
Apache Flink
No
Azure Data Lake Storage
Yes
CrateDB
Yes
Debezium
No
Docker
No
Elasticsearch
Yes
Pricing Details
$350 per month
Free Trial
Yes
Free Version
Yes
Pricing Details
$1000 per month
5 active jobs
5 users
50 published pipelines
99.9% uptime
Email Support (Business hours M-F)
5 users
50 published pipelines
99.9% uptime
Email Support (Business hours M-F)
Free Trial
Yes
Free Version
Yes
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)
Yes
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
Yes
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
GlassFlow
Founded
2023
Country
Germany
Website
www.glassflow.dev/
Vendor Details
Company Name
IBM
Founded
1911
Country
United States
Website
www.ibm.com/products/streamsets
Product Features
Product Features
DevOps
Approval Workflow
Yes
Dashboard
Yes
KPIs
Yes
Policy Management
Yes
Portfolio Management
Yes
Prioritization
Yes
Release Management
Yes
Timeline Management
Yes
Troubleshooting Reports
Yes
Streaming Analytics
Data Enrichment
Yes
Data Wrangling / Data Prep
Yes
Multiple Data Source Support
Yes
Process Automation
Yes
Real-time Analysis / Reporting
Yes
Visualization Dashboards
Yes