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What is Cloudera DataFlow?

Cloudera DataFlow for the Public Cloud (CDF-PC) serves as a flexible, cloud-based solution for data distribution, leveraging Apache NiFi to help developers effortlessly connect with a variety of data sources that have different structures, process that information, and route it to many potential destinations. Designed with a flow-oriented low-code approach, this platform aligns well with developers’ preferences when they are crafting, developing, and testing their data distribution pipelines. CDF-PC includes a vast library featuring over 400 connectors and processors that support a wide range of hybrid cloud services, such as data lakes, lakehouses, cloud warehouses, and on-premises sources, ensuring a streamlined and adaptable data distribution process. In addition, the platform allows for version control of the data flows within a catalog, enabling operators to efficiently manage deployments across various runtimes, which significantly boosts operational efficiency while simplifying the deployment workflow. By facilitating effective data management, CDF-PC ultimately empowers organizations to drive innovation and maintain agility in their operations, allowing them to respond swiftly to market changes and evolving business needs. With its robust capabilities, CDF-PC stands out as an indispensable tool for modern data-driven enterprises.

What is Amazon MSK?

Amazon Managed Streaming for Apache Kafka (Amazon MSK) streamlines the creation and management of applications that utilize Apache Kafka for processing streaming data. As an open-source solution, Apache Kafka supports the development of real-time data pipelines and applications. By employing Amazon MSK, you can take advantage of Apache Kafka’s native APIs for a range of functions, including filling data lakes, enabling data interchange between databases, and supporting machine learning and analytical initiatives. Nevertheless, independently managing Apache Kafka clusters can be quite challenging, as it involves tasks such as server provisioning, manual setup, and addressing server outages. Furthermore, it requires you to manage updates and patches, design clusters for high availability, securely and durably store data, set up monitoring systems, and strategically plan for scaling to handle varying workloads. With Amazon MSK, many of these complexities are mitigated, allowing you to concentrate more on application development rather than the intricacies of infrastructure management. This results in enhanced productivity and more efficient use of resources in your projects.

Media

Media

Integrations Supported

5X
Amazon Data Firehose
Amazon EC2
Apache Kafka
Argonaut
Cloudera
Cloudera Data Platform
Datadog
Lenses
Litmus Edge
New Relic
Onehouse
Protegrity
Sumo Logic
Talend Data Preparation
Tenzir
Ternary
Waterstream
kPow

Integrations Supported

5X
Amazon Data Firehose
Amazon EC2
Apache Kafka
Argonaut
Cloudera
Cloudera Data Platform
Datadog
Lenses
Litmus Edge
New Relic
Onehouse
Protegrity
Sumo Logic
Talend Data Preparation
Tenzir
Ternary
Waterstream
kPow

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$0.0543 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

Cloudera

Date Founded

2008

Company Location

United States

Company Website

www.cloudera.com/products/cdf.html

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/msk/

Categories and Features

Streaming Analytics

Data Enrichment
Data Wrangling / Data Prep
Multiple Data Source Support
Process Automation
Real-time Analysis / Reporting
Visualization Dashboards

Categories and Features

Streaming Analytics

Data Enrichment
Data Wrangling / Data Prep
Multiple Data Source Support
Process Automation
Real-time Analysis / Reporting
Visualization Dashboards

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