IBM Turbonomic vs Oracle Big Data Cloud Service comparison

Why PeerSpot?

IBM and Oracle are both solutions in the Cloud Analytics category. IBM is ranked #1 with an average rating of 9.3, while Oracle is ranked #7. IBM holds a 22.0% mindshare in CA, compared to Oracle’s 5.3% mindshare. Additionally, 98% of IBM users are willing to recommend the solution, compared to 100% of Oracle users who would recommend it.

IBM Turbonomic

Read 205 IBM Turbonomic reviews

19,019 Views
1,522 Comparison Views

98% willing to recommend

Oracle Big Data Cloud Service

Read 2 Oracle Big Data Cloud Service reviews

457 Views
448 Comparison Views

100% willing to recommend

IBM Turbonomic

Oracle Big Data Cloud Service

Comparison Buyer's Guide

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Executive SummaryUpdated on Jan 2, 2025

IBM Turbonomic and Oracle Big Data Cloud Service compete in cloud resource management and big data analytics. IBM Turbonomic has the upper hand with its competitive pricing and ease of deployment, whereas Oracle is preferred for its advanced features and data management capabilities.

Features: IBM Turbonomic offers real-time performance tracking, workload automation, and enhanced operational efficiency. Oracle Big Data Cloud Service provides robust data storage, comprehensive data processing capabilities, and is ideal for complex data analytics.

Ease of Deployment and Customer Service: IBM Turbonomic is known for a straightforward and quick deployment process, coupled with responsive support, making it suitable for various IT environments. Oracle Big Data Cloud Service may require specialized knowledge for deployment, but it is backed by dedicated support, ensuring effective implementation of big data projects.

Pricing and ROI: IBM Turbonomic offers a lower initial setup cost, leading to quicker ROI by optimizing resources and reducing operational inefficiencies. Oracle Big Data Cloud Service, despite higher initial costs, provides a significant ROI over time with its powerful data analytics and processing abilities, adding value to data-intensive operations.

To learn more, read our detailed IBM Turbonomic vs. Oracle Big Data Cloud Service Report (Updated: September 2026).

Buyer's Guide

IBM Turbonomic vs. Oracle Big Data Cloud Service

September 2026

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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

IBM Turbonomic

Ranking in Cloud Analytics

1st

Average Rating

8.8

Reviews Sentiment

7.4

Number of Reviews

205

Ranking in other categories

Cloud Migration (2nd), Cloud Management (4th), Virtualization Management Tools (3rd), IT Financial Management (1st), IT Operations Analytics (9th), Cloud Cost Management (3rd), AIOps (17th)

Oracle Big Data Cloud Service

Ranking in Cloud Analytics

7th

Average Rating

7.6

Reviews Sentiment

6.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of September 2026, in the Cloud Analytics category, the mindshare of IBM Turbonomic is 22.0%, down from 25.0% compared to the previous year. The mindshare of Oracle Big Data Cloud Service is 5.3%, down from 12.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Cloud Analytics Mindshare Distribution
Product	Mindshare (%)
IBM Turbonomic	22.0%
Oracle Big Data Cloud Service	5.3%
Other	72.7%

Cloud Analytics

Featured Reviews

reviewer1446966

Senior Systems Engineer at a university with 1,001-5,000 employees

The solution reduced our operational expenditures and is able to identify points before we even noticed them

The management interface seems to be designed for high-resolution screens. Somebody with a smaller-resolution screen might not like the web interface. I run a 4K monitor on it, so everything fits on the screen. With a lower resolution like 1080, you need to scroll a lot. Everything is in smaller windows. It doesn't seem to be designed for smaller screens. When I change the resolution to 1080, I only see half of what I would on my big 4K monitor. It would be annoying to have to scroll to see the flow chart. They have a flow chart that goes top to bottom like a tree. On a lower resolution, it might be nice if that scrolls horizontally because it's long, narrow, and tall. It's only three icons wide, but it's 15 icons tall. I think it would be helpful to have the ability to change that for a smaller screen and customize the widget.

Read full review

reviewer813444

General Manager with 1-10 employees

Easy to set up with good data integration and data virtualization

We developed the solution based on Hadoop, but using Hadoop as a relationship database, it's hard to maintain and recruit developers. There needs to be better integrations with other solutions and there need to be more tools (including virtualization tools) and utilities between this solution and Hadoop. For example, Oracle has a product called Big Data SQL and it built a bridge between Hadoop and Oracle's database to make things easier for developers. The solution needs to be more stable.

Read full review

Quotes from Members

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

Pros

"The automation piece is one of the most valuable features."

"We allow it to do all our VMotion migrations, ensuring our systems are running at their peak performance."

"Our ROI can be measured in the amount of server hardware that we have not had to purchase due to using VMTurbo Operations Manager."

"Comparing Turbonomic Support against HPE, VMware, and Cisco, is like comparing heaven and hell."

"Better than DRS to load balance VMs across hosts, allowing us to release 30% more computing resources."

"It helps us stay on top of the health of our virtual infrastructure, make near-real-time decisions on how to fine-tune and adjust our infrastructure, and lets us be proactive in our approach."

"Turbonomic's realtime environmental monitoring and aggregated dashboard have been instrumental in expansion decision making for our infrastructure."

"It has allowed our IT organization to keep investments in hardware flat for a projected three year period, and we have seen a 30% performance improvement overall."

More IBM Turbonomic pros

"The solution's most valuable aspects are its data integration and data virtualization."

"The solution's most valuable aspect is the fact that it is open source."

"With this product, they get all the data; it's good quality and refreshed frequently so the customer is able to pull more valuable insights for their business."

Cons

"I would love to see Turbonomic analyze backup data. We have had people in the past put servers into daily full backups with seven-year retention and where the disk size is two terabytes. So, every single day, there is a two terabyte snapshot put into a Blob somewhere. I would love to see Turbonomic say, "Here are all your backups along with the age of them," to help us manage the savings by not having us spend so much on the storage in Azure. That would be huge."

"The only issue I had in the past is the fact that the manager was equipped with only one hard disk so excessive logging could cause an issue."

"Occasionally after changes in our environment, we often needed to restart the Tomcat service on the instance."

"Like any software I use, I'm looking for the least amount of clicking needed to get to places. If I need to click 10 different windows to get a report, I'm done with the software."

"Since Turbonomic can do so much, it can be a complex system to look at for one that haven’t laid eyes on it before."

"It would be nice for them to have a way to do something with physical machines, but I know that is not their strength Thankfully, the majority of our environment is virtual, but it would be nice to see this type of technology across some other platforms. It would be nice to have capacity planning across physical machines."

"Enhanced executive reporting standard with the tool beyond the reports that can be created today. Something that can easily be used with upper management on a monthly or quarterly basis to show the impact to our environment."

"The deployment process is a little tricky. It wasn't hard for me because I have pretty in-depth knowledge of Kubernetes, and their software runs on Kubernetes. To deploy it or upgrade it, you have to be able to follow steps and use the Kubernetes command line, or you'll need someone to come in and do it for you."

More IBM Turbonomic cons

"The solution needs to improve the functionality of the auto-deduplication."

"They lack the ability to respond to issues in a timely manner."

"We developed the solution based on Hadoop, but using Hadoop as a relationship database, it's hard to maintain and recruit developers."

"We've had some issues with stability."

Pricing and Cost Advice

"You should understand the cost of your physical servers and how much time and money you are spending year over year on expanding your virtual farm."

"I'm not involved in any of the billing, but my understanding is that is fairly expensive."

"When we have expanded our licensing, it has always been easy to make an ROI-based decision. So, it's reasonably priced. We would like to have it cheaper, but we get more benefit from it than we pay for it. At the end of the day, that's all you can hope for."

"The product is fairly priced right now. Given its capabilities, it is excellently priced. We think that the product will become self-funding because we will be able to maximize our resources, which will help us from a capacity perspective. That should save us money in the long run."

"I don't know the current prices, but I like how the licensing is based on the number of instances instead of sockets, clusters, or cores. We have some VMs that are so heavy I can only fit four on one server. It's not cost-effective if we have to pay more for those. When I move around a VM SQL box with 30 cores and a half-terabyte of RAM, I'm not paying for an entire socket and cores where people assume you have at least 10 or 20 VMs on that socket for that pricing."

"We see ROI in extended support agreements (ESA) for old software. Migration activities seem to be where Turbonomic has really benefited us the most. It's one click and done. We have new machines ready to go with Turbonomic, which are properly sized instead of somebody sitting there with a spreadsheet and guessing. So, my return on investment would certainly be on currency, from a software and hardware perspective."

"I have not seen Turbonomic's new pricing since IBM purchased it. When we were looking at it in my previous company before IBM's purchase, it was compatible with other tools."

"Licensing is per socket, so load up on the cores rather than a lot of lower core CPUs."

More IBM Turbonomic pricing and cost advice

Information not available

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Top Industries

By visitors reading reviews

Financial Services Firm

11%

Computer Software Company

Manufacturing Company

Construction Company

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	42
Midsize Enterprise	57
Large Enterprise	147

No data available

Comparisons

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Compared 3% of the time

VMWare Tanzu CloudHealth vs IBM Turbonomic

Compared 2% of the time

Spot by Flexera vs IBM Turbonomic

Compared 2% of the time

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Compared 49% of the time

Spot by Flexera vs Oracle Big Data Cloud Service

Compared 11% of the time

Datapipe Cloud Analytics for AWS vs Oracle Big Data Cloud Service

Compared 9% of the time

Sisense vs Oracle Big Data Cloud Service

Compared 9% of the time

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Product Reports

Buyer's Guide

IBM Turbonomic

September 2026

Download IBM Turbonomic product report

Buyer's Guide

Cloud Analytics

August 2026

Download Oracle Big Data Cloud Service product report

Also Known As

Turbonomic, VMTurbo Operations Manager

No data available

Interactive Demo

IBM

Demo not available

Oracle

Overview

IBM Turbonomic enhances IT efficiency with automation, capacity planning, and reporting features, enabling organizations to optimize resource utilization and improve performance through advanced workload management and scenario analysis.

IBM Turbonomic equips organizations with robust capabilities for dynamic resource allocation and informed decision-making. Its planning module provides scenario analysis, right-sizing recommendations, and a customizable dashboard for tailored insights. Automation features improve workload placements and resource efficiency, while forecasting capabilities enhance performance. Simulation of environments helps in decision-making, leading to significant savings in cloud and hardware management. There is a need for a more intuitive interface, enhanced navigation, and improved customization in reporting with integration potential with third-party applications. Transition to the HTML5 interface and stronger training resources are among anticipated improvements.

What are the key features of IBM Turbonomic?

Automation: Automates workload placement and dynamic resource allocation to boost efficiency.
Capacity Planning: Provides scenario analysis and right-sizing for optimal resource use.
Customizable Dashboard: Offers tailored insights for organization needs.
Forecasting: Enhances decision-making through resource-use predictions.
Simulation Capabilities: Aids in assessing savings and performance gains.

What benefits and ROI should be evaluated?

Cost Optimization: Reduces spending on cloud and hardware resources.
Enhanced Performance: Promotes consistent application performance and resource efficiency.
Improved Decision-Making: Supports informed choices with scenario simulation.
Flexibility and Scalability: Assists with workload migrations and resource management across environments.

IBMTurbonomic is implemented across industries such as cloud management and virtualization, helping organizations balance clusters, optimize virtual machine performance, and manage Azure configurations. In resource-monitored environments like VMware and XenServer, its features facilitate load balancing, VM rightsizing, and automation shutoffs. Industries can rely on its insights for cost-saving measures, ensuring efficient resource allocation for hybrid and cloud environments.

IBM

Oracle Big Data Cloud Service offers a robust platform for managing and analyzing extensive datasets, providing businesses with essential tools for data-driven decision-making.

Oracle Big Data Cloud Service integrates advanced analytics with flexible cloud infrastructure, empowering enterprises to handle large volumes of unstructured and structured data effortlessly. It's tailored for demanding data workloads, offering scalability and a range of tools for data processing. Organizations benefit from improved data insights, leading to strategic business advancements.

What are the key features of Oracle Big Data Cloud Service?

Scalable Infrastructure: Supports dynamic resource allocation to efficiently manage data growth.
Advanced Analytics: Offers predictive analytics and machine learning capabilities.
Comprehensive Data Integration: Facilitates seamless data migration and integration.
Secure Environment: Ensures data privacy and security with advanced protocols.

What benefits should users expect from Oracle Big Data Cloud Service?

Enhanced Data Insights: Delivers actionable intelligence for informed business strategies.
Reduced Operational Costs: Streamlines processes and optimizes resource use.
Improved Decision Making: Enables faster data processing for quicker responses.
Flexible Pricing: Provides cost-effective solutions tailored to business requirements.

Industries like finance and healthcare implement Oracle Big Data Cloud Service for its ability to provide deep insights through powerful analytics. Retail sectors use it for consumer behavior analysis, optimizing inventory management and marketing strategies. Telecommunications rely on it to process and analyze massive amounts of data to enhance customer satisfaction and optimize network performance.

Oracle

Sample Customers

IBM, J.B. Hunt, BBC, The Capita Group, SulAmérica, Rabobank, PROS, ThinkON, O.C. Tanner Co.

GE Digital, Wiggle, RecVue

Buyer's Guide

IBM Turbonomic vs. Oracle Big Data Cloud Service

September 2026

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