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What is Chalk?
Experience resilient data engineering workflows without the burdens of managing infrastructure. By leveraging simple yet modular Python code, you can effortlessly create complex streaming, scheduling, and data backfill pipelines. Shift away from conventional ETL practices and gain immediate access to your data, no matter how intricate it may be. Integrate deep learning and large language models seamlessly with structured business datasets, thereby improving your decision-making processes. Boost your forecasting precision by utilizing real-time data, cutting down on vendor data pre-fetching costs, and enabling prompt queries for online predictions. Experiment with your concepts in Jupyter notebooks prior to deploying them in a live setting. Prevent inconsistencies between training and operational data while crafting new workflows in just milliseconds. Keep a vigilant eye on all your data activities in real-time, allowing you to easily monitor usage and uphold data integrity. Gain complete transparency over everything you have processed and the capability to replay data whenever necessary. Integrate effortlessly with existing tools and deploy on your infrastructure while establishing and enforcing withdrawal limits with customized hold durations. With these capabilities, not only can you enhance productivity, but you can also ensure that operations across your data ecosystem are both efficient and smooth, ultimately driving better outcomes for your organization. Such advancements in data management lead to a more agile and responsive business environment.
What is Azure Event Hubs?
Event Hubs is a comprehensive managed service designed for the ingestion of real-time data, prioritizing ease of use, dependability, and the ability to scale. It facilitates the streaming of millions of events each second from various sources, enabling the development of agile data pipelines that respond instantly to business challenges. During emergencies, its geo-disaster recovery and geo-replication features ensure continuous data processing. The service integrates seamlessly with other Azure solutions, providing valuable insights for users. Furthermore, existing Apache Kafka clients can connect to Event Hubs without altering their code, allowing a streamlined Kafka experience free from the complexities of cluster management. Users benefit from both real-time data ingestion and microbatching within a single stream, allowing them to focus on deriving insights rather than on infrastructure upkeep. By leveraging Event Hubs, organizations can build robust real-time big data pipelines, swiftly addressing business challenges and maintaining agility in an ever-evolving landscape. This adaptability is crucial for businesses aiming to thrive in today's competitive market.
Integrations Supported
Abstract Security
Amazon Web Services (AWS)
Apache Airflow
Apache Arrow
Ascend
Docker
Evvox
GitHub
GraphQL
Jupyter Notebook
Integrations Supported
Abstract Security
Amazon Web Services (AWS)
Apache Airflow
Apache Arrow
Ascend
Docker
Evvox
GitHub
GraphQL
Jupyter Notebook
API Availability
Has API
API Availability
Has API
Pricing Information
Free
Free Trial Offered?
Free Version
Pricing Information
$0.03 per hour
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
Chalk
Company Location
United States
Company Website
www.chalk.ai/
Company Facts
Organization Name
Microsoft
Date Founded
1975
Company Location
United States
Company Website
azure.microsoft.com/en-us/services/event-hubs/
Categories and Features
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization
Categories and Features
Streaming Analytics
Data Enrichment
Data Wrangling / Data Prep
Multiple Data Source Support
Process Automation
Real-time Analysis / Reporting
Visualization Dashboards
