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About

Cloudera DataFlow for the Public Cloud (CDF-PC) is a cloud-native universal data distribution service powered by Apache NiFi ​​that lets developers connect to any data source anywhere with any structure, process it, and deliver to any destination. CDF-PC offers a flow-based low-code development paradigm that aligns best with how developers design, develop, and test data distribution pipelines. With over 400+ connectors and processors across the ecosystem of hybrid cloud services—including data lakes, lakehouses, cloud warehouses, and on-premises sources—CDF-PC provides indiscriminate data distribution. These data distribution flows can then be version-controlled into a catalog where operators can self-serve deployments to different runtimes.

About

AI-powered Informatica Data Engineering Streaming enables data engineers to ingest, process, and analyze real-time streaming data for actionable insights. Advanced serverless deployment option​ with integrated metering dashboard cuts admin overhead. Rapidly build intelligent data pipelines with CLAIRE®-powered automation, including automatic change data capture (CDC). Ingest thousands of databases and millions of files, and streaming events. Efficiently ingest databases, files, and streaming data for real-time data replication and streaming analytics. Find and inventory all data assets throughout your organization. Intelligently discover and prepare trusted data for advanced analytics and AI/ML projects.

About

Unified stream and batch data processing that's serverless, fast, and cost-effective. Fully managed data processing service. Automated provisioning and management of processing resources. Horizontal autoscaling of worker resources to maximize resource utilization. OSS community-driven innovation with Apache Beam SDK. Reliable and consistent exactly-once processing. Streaming data analytics with speed. Dataflow enables fast, simplified streaming data pipeline development with lower data latency. Allow teams to focus on programming instead of managing server clusters as Dataflow’s serverless approach removes operational overhead from data engineering workloads. Allow teams to focus on programming instead of managing server clusters as Dataflow’s serverless approach removes operational overhead from data engineering workloads. Dataflow automates provisioning and management of processing resources to minimize latency and maximize utilization.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

SMBs and enterprises looking for a powerful Event Stream Processing solution

Audience

Organizations in need of an advanced Event Stream Processing solution

Audience

Teams that want unified stream and batch data processing that's serverless, fast, and cost-effective

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Cloudera
Founded: 2008
United States
www.cloudera.com/products/cdf.html

Company Information

Informatica
United States
www.informatica.com/products/big-data/big-data-streaming.html

Company Information

Google
Founded: 1998
United States
cloud.google.com/dataflow

Alternatives

Alternatives

Alternatives

Apache Beam

Apache Beam

Apache Software Foundation
Apache NiFi

Apache NiFi

Apache Software Foundation

Categories

Categories

Categories

Streaming Analytics Features

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

Streaming Analytics Features

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

Streaming Analytics Features

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

Integrations

CData Connect
Cloudera
Cloudera Data Platform
DataBuck
Dataplex Universal Catalog
Google Cloud Bigtable
Google Cloud Composer
Google Cloud Confidential VMs
Google Cloud Datastream
Google Cloud IoT Core
Google Cloud Platform
Google Cloud Profiler
Litmus Edge
New Relic
Orchestra
Pantomath
Protegrity
Sedai
Telmai
Ternary

Integrations

CData Connect
Cloudera
Cloudera Data Platform
DataBuck
Dataplex Universal Catalog
Google Cloud Bigtable
Google Cloud Composer
Google Cloud Confidential VMs
Google Cloud Datastream
Google Cloud IoT Core
Google Cloud Platform
Google Cloud Profiler
Litmus Edge
New Relic
Orchestra
Pantomath
Protegrity
Sedai
Telmai
Ternary

Integrations

CData Connect
Cloudera
Cloudera Data Platform
DataBuck
Dataplex Universal Catalog
Google Cloud Bigtable
Google Cloud Composer
Google Cloud Confidential VMs
Google Cloud Datastream
Google Cloud IoT Core
Google Cloud Platform
Google Cloud Profiler
Litmus Edge
New Relic
Orchestra
Pantomath
Protegrity
Sedai
Telmai
Ternary
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