Panduit HD Flex Enclosure Trunk Slack Plate 2RU, Black
$171.46
$95.99
Mfg # FLEX-PLATE2U
CDW # 6236643
| UNSPSC 43223300
Quick tech specs
- Cable Organizer allows you to effectively utilize most of the space available with maximum dependability
- Enclosure Trunk Slack Plate cable manager type allows you to effectively utilize most of the space available with maximum dependability
Know your gear
Add to Compare
Enhance your purchase
Panduit HD Flex Enclosure Trunk Slack Plate 2RU, Black is rated
4.30 out of
5 by
3.
Rated 5 out of
5 by
Mohamed-Saied from
Efficient data integration and workflow scheduling elevate project performance
What is our primary use case?
Cloudera DataFlow is used as an ETL or ELT solution within Cloudera's data pipeline. Our organization heavily relies on it for data ingestion, transformation, and warehousing. It is also used daily for operational tasks, and it integrates well within Cloudera's ecosystem for high performance and throughput.
What is most valuable?
The most valuable features of Cloudera DataFlow include its native connectivity with a wide range of ecosystems within Cloudera such as Hive, Impala, and Spark. These connections ensure high performance and high throughput. Additionally, it allows for end-to-end scheduling of workflows without needing third-party applications.
What needs improvement?
Cloudera DataFlow's UI interface could be enhanced significantly. Memory handling can also be improved to be better than it is today.
For how long have I used the solution?
I have been using Cloudera DataFlow for about five or six years.
What do I think about the stability of the solution?
Overall, I would rate the stability of Cloudera DataFlow as eight out of ten.
What do I think about the scalability of the solution?
I would rate the scalability of Cloudera DataFlow as seven out of ten. It needs some enhancements to improve scalability.
How are customer service and support?
Customer service and support are responsive and knowledgeable. I would rate them eight out of ten.
How would you rate customer service and support?
Positive
Which solution did I use previously and why did I switch?
Previously, I used Informatica DataStage, IBM DataStage, Talend, and Ab Initio. We switched to Cloudera DataFlow because it is fully integrated with Cloudera and already available with Cloudera's license, thus avoiding the need for additional third-party licenses.
What about the implementation team?
We have an operational team that handles maintenance of Cloudera DataFlow. This team consists of different engineers with similar skill sets in development and operation.
What's my experience with pricing, setup cost, and licensing?
Cloudera is an expensive platform, and the licensing cost is high. I would rate its cost-effectiveness as nine out of ten. There are no extra expenses once the Cloudera license is acquired.
Which other solutions did I evaluate?
Before switching to Cloudera DataFlow, I evaluated Informatica, IBM DataStage, Talend, and Ab Initio.
What other advice do I have?
Cloudera DataFlow is fully compatible with Cloudera's ecosystem and offers high efficiency through native connectors for various ecosystems. However, the learning curve is high, and there is a shortage of skilled professionals. My overall rating for Cloudera DataFlow is eight out of ten.
Which deployment model are you using for this solution?
On-premises
Disclaimer: My company has a business relationship with this vendor other than being a customer:
Date published: 2025-03-17T00:00:00-04:00
Rated 5 out of
5 by
Wallace Hugh from
A scalable and robust platform for analyzing data
What is our primary use case?
We use this solution for sentimental analysis and fraud detection. We also use it to analyze product royalties.
What is most valuable?
This solution is very scalable and robust. It doesn't involve much coding — which is nice.
What needs improvement?
Although its workflow is pretty neat, it still requires a lot of transformation coding; especially when it comes to Python and other demanding programming languages. It should be more like other solutions that don't require that much coding.
For how long have I used the solution?
I have been working with Cloudera DataFlow for more than six years.
What do I think about the scalability of the solution?
This solution is both quite scalable and stable.
How are customer service and technical support?
The technical support is fair. It's not amazing, but it's good. Sometimes they take a while to respond. Often, I'll just look to Google for the solution rather than wait on the phone.
What other advice do I have?
If you're interested in using this solution, first perform some return on investment analysis to make sure that this platform is mature enough for your requirements.
Compare it with some other solutions first and determine which solution is best. It really comes down to your company's needs and what features you require.
Overall, on a scale from one to ten, I would give Cloudera DataFlow a rating of eight.
Disclaimer: I am a real user, and this review is based on my own experience and opinions.
Date published: 2021-05-24T00:00:00-04:00
Rated 5 out of
5 by
Yevgen Manzhulyanov from
Has good data management and analytics features
What is our primary use case?
We use Cloudera DataFlow for stream analytics.
What is most valuable?
The most effective features are data management and analytics.
What needs improvement?
The setup could be simpler.
For how long have I used the solution?
I have been using Cloudera DataFlow for six years.
What do I think about the scalability of the solution?
We used to build solutions processing up to fifty thousand events per second. It can be hundreds of gigabytes or terabytes, depending on the architecture.
I rate the solution’s scalability a ten out of ten.
How are customer service and support?
We are truly happy with their technical support. We have first and second-level support delivered by the Cloudera site.
How was the initial setup?
The tool is pretty complex to deploy and takes from two months to half a year to complete. You need someone with certification or experience in good teams for execution.
Since we are partnered and have a certified team, we have no difficulties with this product. Five people are needed to deploy the solution.
What's my experience with pricing, setup cost, and licensing?
You have to pay a subscription, but deploying it on-site or on the cloud is possible. Cloud is a little expensive. Compared to other enterprise solutions, it is cheap.
What other advice do I have?
The tool ensures data preparation and data delivery for ML products. We would recommend Cloudera DataFlow to customers with strong requirements for data security and governance and those dealing with large volumes of data or a high frequency of events per day. Additionally, it's suitable for customers with complex infrastructures that require interaction among numerous in-house services.
Overall, I rate the solution a nine out of ten.
Which deployment model are you using for this solution?
Public Cloud
Disclaimer: My company has a business relationship with this vendor other than being a customer:Partner
Date published: 2024-05-15T00:00:00-04:00