Cloudera Data Platform vs IBM InfoSphere BigInsights [EOL] comparison

Why PeerSpot?

The compared Cloudera and IBM solutions aren't in the same category. Cloudera is ranked #4 in DMPD , with an average rating of 6.8, and holds a 7.1% mindshare in the category. Additionally, 85% of Cloudera users are willing to recommend the solution, compared to 83% of IBM users who would recommend it.

Cloudera Data Platform

Read 37 Cloudera Data Platform reviews

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1,924 Comparison Views

85% willing to recommend

IBM InfoSphere BigInsights ...

Read 7 IBM InfoSphere BigInsights [EOL] reviews

83% willing to recommend

Cloudera Data Platform

IBM InfoSphere BigInsights ...

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Executive SummaryUpdated on Oct 12, 2025

IBM InfoSphere BigInsights EOL and Cloudera Data Platform compete in the big data analytics space. Cloudera Data Platform is perceived as superior due to its robust features and performance capabilities.

Features: IBM InfoSphere BigInsights EOL leverages a Hadoop-based architecture, integrates with IBM Watson, and offers scalable processing. Cloudera Data Platform provides a comprehensive toolset for data management, real-time analytics, and has a highly scalable cloud-native architecture.

Room for Improvement: IBM InfoSphere BigInsights EOL could enhance modern deployment options, improve user interface intuitiveness, and expand language support in IBM Watson. Cloudera Data Platform could benefit from streamlining upgrades and patches, simplifying integration with third-party tools, and enhancing documentation for user guidance.

Ease of Deployment and Customer Service: IBM InfoSphere BigInsights EOL offers straightforward installation with reliable support but lacks flexibility in modern deployments. Cloudera Data Platform features a cloud-native infrastructure that simplifies deployment and boosts agility, complemented by proactive customer service that enhances user experience.

Pricing and ROI: IBM InfoSphere BigInsights EOL is noted for cost-effectiveness and provides favorable ROI for limited scalability needs. Cloudera Data Platform, while more costly, justifies its price with superior scalability and advanced analytics capabilities, leading to greater long-term ROI.

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Cloudera Data Platform

Average Rating

7.6

Reviews Sentiment

5.5

Number of Reviews

Ranking in other categories

Cloud Master Data Management (MDM) (6th), Data Management Platforms (DMP) (4th), AI Data Analysis (5th)

IBM InfoSphere BigInsights ...

Average Rating

7.6

Number of Reviews

Ranking in other categories

No ranking in other categories

Featured Reviews

T Sarwar

Data architect at SentientAI, Karachi

Has enabled efficient big data processing and querying but remains complex to manage and configure

Cloudera Data Platform should use fewer tools and remove the complexity between them. It should make it easier for the end user to change the configuration and understand it better. The UI tool for jobs in Cloudera Data Platform can be improved to provide a proper image of ETL jobs and detailed consolidated graphs to monitor Spark-based Hue jobs.

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it_user743022

BigData Consultant at a tech services company with 10,001+ employees

Served our customers better by giving real-time suggestions and proactive maintenance, however the UI was not interactive

* The UI was not interactive: Responses used to be very slow and hang up at times. * The UI was not really helping to track the real-time jobs and its logs. * You can bring in a better UI for job management and health checks. * Developer API documentation needs improvement.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"Hadoop/Cloudera is still much cheaper than Oracle's RDBM system, if you want to handle a huge amount of data and make complex analytics."

"Hortonworks has allowed my organization to increase the amount of data that we regularly store from sensor data and weblogs, which in turn gives us a greater scope of data to analyze."

"My main use case for Cloudera Data Platform is to support a multi-source system with different data types, handling semi-structured, structured, and unstructured data to support those kinds of workloads."

"Integration with other tools works well for us and we successfully scaled the solution after two to three years without any issues."

"Open-source Big community"

"From a product standpoint, their Ambari UI is incredibly valuable for cluster monitoring."

"We use it for data science activities."

"It is a scalable platform."

More Cloudera Data Platform pros

"This is a very helpful product, with continuous improvements by IBM and a great customer service which enables easy access to valuable information for both Hadoop developers and system administrators."

"It integrates with JSqsh, enabling us to submit long-running exports from the shell."

"Watson is the perfect engine for text analysis for us, but in 2014 it doesn’t support the Russian language."

"Definitely a product worth evaluating, esp if you are an IBM shop and if done on Bluemix, it gives a jump start on protoypes/POCs."

"InfoSphere Streams was the one core product from the platform in which we were using. We were building a real-time response system and we built it on InfoSphere Streams."

"The thing that I have found most valuable in this solution is the BIQSQL implementation which is fully SQL ANSI compliant."

"This helped us to serve our customers better by giving real-time suggestions and proactive maintenance."

"It gives us the option of extending our analytics system."

Cons

"The cost of the solution is high and there is room for improvement."

"Scalability of Cloudera Data Platform is very good and scalable in public cloud. However, it is not as scalable on on-premises private cloud, which adds considerable cost."

"Hadoop, does not provide improved performance, compared to traditional RDBMS, unless processing batches in the TB-PB range, or if the Hadoop platform has significantly more resources available."

"The setup of Hadoop was easy thanks to Ambari, but installing the security components was complex."

"For on-premise use, I would not recommend Cloudera Data Platform as it is expensive and complicated to upgrade."

"Since Cloudera acquired HDP, it's been bundled with CBH and HDP. However, the biggest challenge is cloud storage integration with Azure, GCP, and AWS."

"The only issue that I had was when I tried to reinstall the software on every node."

"A major drawback that I see with Cloudera Data Platform is that it tends to be one or two years behind the latest open-source implementation of the Apache toolkits such as Spark, Hive, and everything else, which relates to the guardrails of following compliance as the main driving factor, so that is something that could be done better on Cloudera Data Platform's side."

More Cloudera Data Platform cons

"Initial setup is rather complex in comparison with Cloudera."

"I have found a lot of issues in Fluid Query and BigInsights Applications to move data in the enterprise version."

"Unfortunately the stability of the platform was an issue."

"I encountered issues with having the appropriate documentation resources, as well as getting the right stability when explored virtualized environments based on Virtualbox and HyperV software."

"For our business customer pricing is very important motivation, so I can advise change licensing policy from “by volume in the cluster” to “number of machines in the cluster”."

"I'd like to see faster execution time, especially for simple queries that don't touch on many rows and don't involve many operations (Joins, Unions, Groupbys)."

"The UI was not interactive: Responses used to be very slow and hang up at times."

Pricing and Cost Advice

"It is priced well and it is affordable"

"Currently, we are using the product in a sandbox environment, and there is no licensing. We might choose a licensing option once we get the results."

Information not available

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Top Industries

By visitors reading reviews

Manufacturing Company

13%

Comms Service Provider

10%

Financial Services Firm

Construction Company

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	8
Midsize Enterprise	7
Large Enterprise	26

By reviewers
Company Size	Count
Small Business	3
Large Enterprise	4

Questions from the Community

What is your experience regarding pricing and costs for Hortonworks Data Platform?

The experience with pricing, setup cost, and licensing is very good.

See all answers

What needs improvement with Hortonworks Data Platform?

Areas for improvement with Cloudera Data Platform could be the initial learning curve that can be a step for teams new to big data economy systems. Platform setup and configuration require careful ...

See all answers

What is your primary use case for Hortonworks Data Platform?

Cloudera Data Platform on AWS was adopted as the core enterprise data platform, covering the full data lifecycle from ingestion to analytics and advanced use cases. Cloudera Data Platform was used ...

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Product Reports

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Cloudera Data Platform

October 2026

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Hadoop

October 2026

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Also Known As

No data available

InfoSphere BigInsights

Overview

Cloudera Data Platform provides efficient data management through features like Hue, Spark, and Impala. It integrates open-source solutions, supports hybrid environments, and enhances data governance while prioritizing security, scalability, and cost-effectiveness.

Cloudera Data Platform addresses data management needs by supporting large-scale analytics, data science, and ETL processes. It facilitates seamless operation with Ambari UI for deployment and monitoring. Users benefit from robust security via Ranger, open-source compatibility, and a flexible eco-system that uses Hadoop components. While it simplifies setup and supports hybrid workloads, improvements in AI, machine learning, stability in Name Node High Availability, and cost management are ongoing needs. Challenges in tool usability, governance maturity, and scalability call for continued innovation, especially in cloud adoption and staying aligned with open-source technologies.

What are the key features of Cloudera Data Platform?

Hue: Facilitates user-friendly interaction with data.
Spark: Offers fast and systemized data processing.
Impala: Ensures efficient SQL query execution on Hadoop.
Ambari UI: Simplifies cluster monitoring and deployment.
Open-Source Integration: Enhances flexibility and innovation.
Ranger Security: Provides comprehensive data protection.

What benefits or ROI should users focus on in reviews?

Scalability: Supports growing data needs efficiently.
Cost-Effectiveness: Helps in reducing operational expenses.
Reduced Manual Effort: Streamlines processes and tasks.

Organizations in banking, healthcare, and hospitality leverage Cloudera Data Platform for data management, analytics, and cross-source integration. It handles complex data structures, bolsters AI workloads, and adheres to data compliance standards while integrating with tools like Spark, Kafka, and machine learning models.

Cloudera

IBM BigInsights delivers a rich set of advanced analytics capabilities that allows enterprises to analyze massive volumes of structured and unstructured data in its native format. The software combines open source Apache Hadoop with IBM innovations including sophisticated text analytics, IBM BigSheets for data exploration, IBM Big SQL for SQL access to data in Hadoop, and a range of performance, security and administrative features. The result is a cost-effective and user-friendly solution for complex, big data analytics.

IBM

Sample Customers

Information Not Available

Coherent Path Inc., Optibus, Delhaize America, Diyotta Inc., Ernst & Young, Teikoku Databank Ltd., NCSU, Vestas

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