Cloudera DataFlowCloudera
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SQLstreamGuavus, a Thales company
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Related Products
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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.
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About
SQLstream ranks #1 for IoT stream processing & analytics (ABI Research). Used by Verizon, Walmart, Cisco, & Amazon, our technology powers applications across data centers, the cloud, & the edge.
Thanks to sub-ms latency, SQLstream enables live dashboards, time-critical alerts, & real-time action. Smart cities can optimize traffic light timing or reroute ambulances & fire trucks. Security systems can shut down hackers & fraudsters right away. AI / ML models, trained by streaming sensor data, can predict equipment failures.
With lightning performance, up to 13M rows / sec / CPU core, companies have drastically reduced their footprint & cost. Our efficient, in-memory processing permits operations at the edge that are otherwise impossible.
Acquire, prepare, analyze, & act on data in any format from any source. Create pipelines in minutes not months with StreamLab, our interactive, low-code GUI dev environment. Export SQL scripts & deploy with the flexibility of Kubernetes.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Not Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Supported
Mac
Not Supported
Linux
Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
SMBs and enterprises looking for a powerful Event Stream Processing solution
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Audience
SMBs and Enterprises
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Support
Phone Support
Supported
24/7 Live Support
Supported
Online
Supported
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Support
Phone Support
Supported
24/7 Live Support
Supported
Online
Supported
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API
Offers API
Supported
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API
Offers API
Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Pricing
No information available.
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
Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Supported
Live Online
Supported
In Person
Supported
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Company InformationCloudera
Founded: 2008
United States
www.cloudera.com/products/cdf.html
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Company InformationGuavus, a Thales company
Founded: 2006
United States
sqlstream.com
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Categories |
Categories |
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Streaming Analytics Features
Data Enrichment
Supported
Data Wrangling / Data Prep
Supported
Multiple Data Source Support
Supported
Process Automation
Supported
Real-time Analysis / Reporting
Supported
Visualization Dashboards
Supported
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Streaming Analytics Features
Data Enrichment
Supported
Data Wrangling / Data Prep
Supported
Multiple Data Source Support
Supported
Process Automation
Supported
Real-time Analysis / Reporting
Supported
Visualization Dashboards
Supported
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Integrations
Amazon Kinesis
Not Supported
Apache Kafka
Not Supported
Cloudera
Supported
Cloudera Data Platform
Supported
Litmus Edge
Supported
RabbitMQ
Not Supported
Talend Data Preparation
Supported
Ternary
Supported
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Integrations
Amazon Kinesis
Supported
Apache Kafka
Supported
Cloudera
Not Supported
Cloudera Data Platform
Not Supported
Litmus Edge
Not Supported
RabbitMQ
Supported
Talend Data Preparation
Not Supported
Ternary
Not Supported
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