Cloudera Data Platform vs. IBM StreamSets

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Cloudera Data Platform
Score 7.0 out of 10
N/A
Cloudera Data Platform (CDP), launched September 2019, is designed to combine the best of Hortonworks and Cloudera technologies to deliver an enterprise data cloud. CDP includes the Cloudera Data Warehouse and machine learning services as well as a Data Hub service for building custom business applications.
$0.04
per CCU (hourly rate)
IBM StreamSets
Score 8.0 out of 10
N/A
IBM® StreamSets enables users to create and manage smart streaming data pipelines through a graphical interface, facilitating data integration across hybrid and multicloud environments. IBM StreamSets can support millions of data pipelines for analytics, applications and hybrid integration.N/A
Pricing
Cloudera Data PlatformIBM StreamSets
Editions & Modules
CDP Public Cloud - Data Hub
$0.04
per CCU (hourly rate)
CDP Public Cloud - Data Warehouse
$0.054
per CCU (hourly rate)
CDP Public Cloud - Data Engineering
$0.07
per CCU (hourly rate)
CDP Public Cloud - Operational Database
$0.08
per CCU (hourly rate)
CDP Public Cloud - Flow Management
$0.15
per CCU (hourly rate)
CDP Public Cloud - Machine Learning
$0.17
per CCU (hourly rate)
CDP Private Cloud - Plus Edition
$400
CCU (annual subscription)
CDP Private Cloud - Base Edition
$10,000.00
node + variable (annual subscription)
No answers on this topic
Offerings
Pricing Offerings
Cloudera Data PlatformIBM StreamSets
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Cloudera Data PlatformIBM StreamSets
Best Alternatives
Cloudera Data PlatformIBM StreamSets
Small Businesses
Google BigQuery
Google BigQuery
Score 8.8 out of 10
Skyvia
Skyvia
Score 10.0 out of 10
Medium-sized Companies
Cloudera Enterprise Data Hub
Cloudera Enterprise Data Hub
Score 9.0 out of 10
Astera Data Pipeline Builder (Centerprise)
Astera Data Pipeline Builder (Centerprise)
Score 8.8 out of 10
Enterprises
Oracle Exadata
Oracle Exadata
Score 9.8 out of 10
Control-M
Control-M
Score 9.3 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Cloudera Data PlatformIBM StreamSets
Likelihood to Recommend
7.0
(1 ratings)
7.3
(10 ratings)
Likelihood to Renew
-
(0 ratings)
6.4
(1 ratings)
Usability
-
(0 ratings)
7.5
(9 ratings)
Support Rating
8.0
(1 ratings)
5.5
(1 ratings)
User Testimonials
Cloudera Data PlatformIBM StreamSets
Likelihood to Recommend
Cloudera
I have seen that Cloudera Data Platform is well suited for large batch processes. It works really well for our indication analyses that are performed by the actuaries. I feel that rapid streaming operations may be a situation where additional technology would be needed to provide for a robust solution.
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IBM
IBM StreamSets excels in real-time logistics data ingestion and transformation across hybrid systems. It’s less ideal for lightweight ETL tasks or static datasets where simpler tools can achieve similar results with less overhead and complexity.
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Pros
Cloudera
  • Scales
  • Highly available
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IBM
  • It helps streaming huge data that we have in our Teradata database to various reporting applications that runs on cloud seamlessly.
  • We also use IBM StreamSets to power few BI dashboards that our product managers use on regular basis to showcase various data with clients.
  • I think the data quality is way better compared to Informatica tool.
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Cons
Cloudera
  • Constantly changing costs
  • Log visibility
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IBM
  • The error messages I feel aren t always very descriptive so troubleshooting can take longer
  • Maybe more customisation options for scheduling can be done, rest it works pretty well.
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Likelihood to Renew
Cloudera
No answers on this topic
IBM
IBM Stream sets has been a wonderful addition to our technology stack. It has helped in some of our initiatives such as data engineering, data integration for not only external customers but also for internal purposes. The tool has also helped on our use cases related to streaming data. Moving to another tool would require significant amount of work and time.
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Usability
Cloudera
No answers on this topic
IBM
The StreamSets platform is very easy to use and the interface is extremely intuitive. The drag-and-drop, low-code design makes it accessible for teams with varying technical skills, allowing us to quickly connect sources, define transformations, and deploy pipelines without heavy coding. StreamSets allows us to get started quickly and not have to worry about our pipelines breaking once they're built.
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Support Rating
Cloudera
We have utilized Cloudera support quite frequently and are very satisfied with the capability and responsiveness of that team. Often, the new features delivered with the platform give us an opportunity to mature the way we're doing things, and the support team have been valuable in developing those new patterns.
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IBM
Streamsets support has improved a lot in the last couple of years. We had some challenges in the beginning with support, but now the quality of the support and the responsiveness to tickets are better. We have contacted support multiple times when it came to scenarios where the system was slow or the output as not as we expected
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Implementation Rating
Cloudera
No answers on this topic
IBM
I was not involved in the implementation
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Alternatives Considered
Cloudera
IBM's offering of the Cloud Pak for Data has been a moving target and difficult to compare to Cloudera Data Platform. We have implemented our solution on Amazon Web Services, which appears to be supported by IBM at this point, but the migration would be very expensive for us to endeavor.
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IBM
First advantage is that this software is particularly new and it keeps updating according to the needs of the user. Other advantage is the it organises and produces conclusions on the basis of data without leaving any relevant information. Other softwares lack in data summarising and readability of the charts and sheets they produce.
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Return on Investment
Cloudera
  • Reduced operational costs
  • Speed to market
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IBM
  • time saving for automatic collection and integration of data
  • time saving thanks to live monitoring and reaction
  • time saving for standardization of data
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ScreenShots