TrustRadius

Cloudera Data Platform vs. IBM watsonx.data

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Cloudera Data Platform
Score 6.5 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 watsonx.data
Score 9.0 out of 10
N/A
Watsonx.data is presented as an open, hybrid and governed data store that makes it possible for enterprises to scale analytics and AI with a fit-for-purpose data store, built on an open lakehouse architecture, supported by querying, governance and open data formats to access and share data.N/A
Pricing
Cloudera Data PlatformIBM watsonx.data
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 watsonx.data
Free Trial
NoYes
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 watsonx.data
Considered Both Products
Cloudera Data Platform
Verified User
Anonymous
Chose Cloudera Data Platform
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 …
IBM watsonx.data
Verified User
Anonymous
Chose IBM watsonx.data
with iceberg open table format and presto engine the performance and flexibility increased and also with watsonx.ai with GENAI capability which other tools lag as of now.
Verified User
Anonymous
Chose IBM watsonx.data
Salesforce Genie and Snowflake
Prajwal Shetty | TrustRadius Reviewer
Prajwal Shetty
Senior Cloud Solutions Engineer
Chose IBM watsonx.data
Oracle really cost effective solution, where it has the support of community, with rich integration of all wide range of oracle products.
Amazon sageMaker is another cost effective solution, where is tightly coupled with AWS platform, in terms of performance it copes up really …
Verified User
Anonymous
Chose IBM watsonx.data
IBM watsonx.data integrates well with other IBM services used in our deployment and provides enterprise grade security which is critical for our regulated business
Shrideep Tamboli | TrustRadius Reviewer
Shrideep Tamboli
AI Engineer
Chose IBM watsonx.data
AstraDB was giving me vector database solutions, Retrieval Augmented Generation features and even Agentic workflows that IBM watsonx.data does not have currently. But the volume of data I've coming everyday and has to deal with everyday, can do anomaly detection just in plain …
Verified User
Anonymous
Chose IBM watsonx.data
Pinecone and IBM watsonx.data (Milvus in our case) both work great as a full-managed cloud-based vector database.
We selected IBM watsonx.data because it integrates well with watson.ai and is a little more beginner friendly than pinecone, but I think both are great anyway.
Verified User
Anonymous
Chose IBM watsonx.data
IBM watsonx.data helps in reducing data warehousing costs. IBM AIOps Insights focuses mainly on incident management, while IBM watsonx.data provides a flexible data store.
Verified User
Anonymous
Chose IBM watsonx.data
May be I cannot say why I choose, business preferred to use IBM watsonx.data which is good for me as well to learn. I cannot compare this tool with others because it has unique feature which alteryx or Amazon or Azure dont have. So this tool is going good for us.
CC
Christine Canassa
IT Specialist
Chose IBM watsonx.data
IBM watsonx.data has great capabilities on multiple data easy accessibility and easy to extract data and sharing to various platforms. The IBM watsonx.data still offers effective data protection and the ability to manage large amount of business data from one piont is …
Verified User
Anonymous
Chose IBM watsonx.data
We use IBM watsonx.data as a unified data platform to integrate and govern data across systems, eliminating silos and improving data quality. Its open lakehouse architecture enables faster, trusted access to data for AI, analytics, and reporting, forming the foundation for …
Verified User
Anonymous
Chose IBM watsonx.data
Already using the watsonx.orchestrate, so it's was easier to incorporate this into existing infrastructure.
Verified User
Anonymous
Chose IBM watsonx.data
IBM watsonx.ai and IBM watsonx.governance
Verified User
Anonymous
Chose IBM watsonx.data
The three pair nicely together to create my own RAG solution in a controlled manner.
Chose IBM watsonx.data
IBM watsonx.data stacks up against Snowflake very well. It come in at a less expensive price. Also, you can run IBM watsonx.data on any cloud. or on prem.. Much more flexible.
Best Alternatives
Cloudera Data PlatformIBM watsonx.data
Small Businesses
Google BigQuery
Google BigQuery
Score 8.5 out of 10

No answers on this topic

Medium-sized Companies
Cloudera Enterprise Data Hub
Cloudera Enterprise Data Hub
Score 9.0 out of 10
Snowflake
Snowflake
Score 8.9 out of 10
Enterprises
Oracle Exadata
Oracle Exadata
Score 10.0 out of 10
Snowflake
Snowflake
Score 8.9 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Cloudera Data PlatformIBM watsonx.data
Likelihood to Recommend
7.0
(0 ratings)
7.7
(0 ratings)
Usability
-
(0 ratings)
7.6
(0 ratings)
Support Rating
8.0
(0 ratings)
-
(0 ratings)
User Testimonials
Cloudera Data PlatformIBM watsonx.data
Likelihood to Recommend
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.
Verified User
Anonymous
Read full review
IBM watsonx.data is well suited for use cases were you have to combine various data sources to build a lakehouse. It provides a secure framework to gather data and provide access to it to build ML/AI models. It allows users to focus on prompts and business logic than spend time on data engineering.
Verified User
Anonymous
Read full review
Pros
  • Scales
  • Highly available
Verified User
Anonymous
Read full review
  • It doesn't just store data but unlocks potential. I am able to analyse a vast amount of information, identify trends, and predict future outcomes.
  • It not only gives me high quality but accessible data as well. It handles missing values, outliers and feature engineering with case.
Sarthak Chopra | TrustRadius Reviewer
Read full review
Cons
  • Constantly changing costs
  • Log visibility
Verified User
Anonymous
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  • Cloud based is the easy solution, though not always preferred
  • Slow importing of data due to the chunks causing many records
Verified User
Anonymous
Read full review
Usability
No answers on this topic
I can give it 10/10 due to its impact in data analysis management. This is the right software for driving business insights and enhancing effective decision making. The infrastructure has the formal tools for preparing data before using it to make critical decisions. The NLP has enhanced standard analysis of unstructured data from social media websites.
Barbara Hilbun | TrustRadius Reviewer
Barbara Hilbun
Financial Analyst
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Support Rating
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.
Verified User
Anonymous
Read full review
No answers on this topic
Alternatives Considered
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.
Verified User
Anonymous
Read full review
Pinecone and IBM watsonx.data (Milvus in our case) both work great as a full-managed cloud-based vector database. We selected IBM watsonx.data because it integrates well with watson.ai and is a little more beginner friendly than Pinecone, but I think both are great anyway.
Verified User
Anonymous
Read full review
Return on Investment
  • Reduced operational costs
  • Speed to market
Verified User
Anonymous
Read full review
  • for one automation project, we managed to cut cloud storage costs by a third through IBM watsonx.data's lakehouse optimization
  • data integration projects have had a 20 % reduction in turnaround times. Can only imagine how that will improve with the Claude partnership
Verified User
Anonymous
Read full review
ScreenShots