CloudBolt vs Cloudify comparison

CloudBolt and Cloudify are both solutions in the Cloud Management category. CloudBolt is ranked #19 with an average rating of 7.3, while Cloudify is ranked #15 with an average rating of 10.0. CloudBolt holds a 2.2% mindshare in CM, compared to Cloudify’s 1.8% mindshare. Additionally, 90% of CloudBolt users are willing to recommend the solution, compared to 100% of Cloudify users who would recommend it.

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Executive Summary

We performed a comparison between CloudBolt and Cloudify based on real PeerSpot user reviews.

Find out in this report how the two Cloud Management solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed CloudBolt vs. Cloudify Report (Updated: October 2024).

Buyer's Guide

CloudBolt vs. Cloudify

October 2024

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Categories and Ranking

IBM Turbonomic

Mindshare comparison

As of November 2024, in the Cloud Management category, the mindshare of IBM Turbonomic is 6.3%, down from 6.6% compared to the previous year. The mindshare of CloudBolt is 2.2%, up from 1.9% compared to the previous year. The mindshare of Cloudify is 1.8%, down from 2.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Cloud Management

Featured Reviews

SubashSubbiah

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

Dec 10, 2022

It can tell us where performance is lagging on the hardware layer, but the reporting on the application layer is lacking

The automation area could be improved, and the generic reports are poor. We want more details in the analysis report from the application layer. The reports from the infrastructure layer are satisfactory, but Turbonomic won't provide much information if we dig down further than the application layer. I would like them to add some apps for physical device load resourcing and physical-to-virtual calculation. It gives excellent recommendations for the virtual layer but doesn't have the capabilities for physical-to-virtual analysis. Automated deployment is something else they could add. Some built-in automation features are helpful, but we aren't effectively using a few. We want a few more automated features, like autoscaling and automatic performance optimization testing would be useful.

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AdeolaEkunola

Director at NIGERCUBES LTD

Sep 15, 2023

The solution offers reliable resource control but needs to improve its UI

Cloudbox is just an abstraction software. There is no need for scalability. It's quite a simple solution. You might only need to increase the resources you apply to the CloudBold deployment. If, for example, the number of users increases, you might have to check the recommendations from CloudBolt and act accordingly. We have over 100 internal users. Regarding the infrastructure it sits on, the solution sits on the private of the on-prem, a VMware infrastructure that stands across two sites, the DR and the main production. We have over 60 ESXi of Asterisk and about 500 or 1,000 virtual machines.

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Mark Wittling

Cloud Architect at Cox communications

Jul 21, 2022

Works very well for advanced service chaining requirements and has extremely advanced engineers for support

We had a manager who thought that Cloudify could be used as a replacement for Horizon in OpenStack, but we found that Cloudify lacked the user interface or GUI for doing multitenancy and basic platform management tasks. Cloudify was really good at launching, for example, firewalls and configuring them and doing service chaining and rather advanced things like that, but it didn't meet the requirements for a basic platform management solution. It is something that seems to work better as a bolt-on or an augmented solution. It is a bit mis-marketed as a Cloud Management solution. It is not that. It is more of a service orchestration and automation tool. It is very good at doing that, but it fails to meet basic platform management requirements. Once you have it running, you can't really do anything with it without writing code and scripts. It requires a full-time DevOps person to use it. We deployed a Palo Alto firewall with it. That's basically what the project was for us, and it worked flawlessly once we got it finished, but it took another 12 weeks to get all of the automation and everything else coded, tested, and working. There is certainly a place for this technology, but when we got rid of OpenStack and moved to VMware, we either had to go with the vRealize Automation Suite to do this kind of automation, or we had to find an alternative solution to manage the private cloud. So, we put Cloudify in, but we really couldn't find it useful for basic platform administration tasks.

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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

"It also brings up a list of machines and if something is under-provisioned and needs more compute power it will tell you, 'This server needs more compute power, and we suggest you raise it up to this level.' It will even automatically do it for you. In Azure, you don't have to actually go into the cloud provider to resize. You can just say, 'Apply these resizes,' and Turbonomic uses some back-end APIs to make the changes for you."

"The proactive monitoring of all our open enrollment applications has improved our organization. We have used it to size applications that we are moving to the cloud. Therefore, when we move them out there, we have them appropriately sized. We use it for reporting to current application owners, showing them where they are wasting money. There are easy things to find for an application, e.g., they decommissioned the server, but they never took care of the storage. Without a tool like this, that storage would just sit there forever, with us getting billed for it."

"The ability to monitor and automate both the right-sizing of VMs as well as to automate the vMotion of VMs across ESXi hosts."

"We've saved hundreds of hours. Most of the time those hours would have to be after hours as well, which are more valuable to me as that's my personal time."

"The automation and orchestration components are definitely the best part, as you can tell it what it can do and when, and just let it be."

"It is a good holistic platform that is easy to use. It works pretty well."

"The notifications saying, "This is a corrective action," even though some of them can be automated, are always welcome to see. They summarize your entire infrastructure and how you can better utilize it. That is the biggest feature."

"The primary features we have focused on are reporting and optimization."

More IBM Turbonomic pros

"Hybrid cloud platform for VM and app deployment and management, with very good stability. It's customizable, easy to set up, and can be deployed within half an hour."

"I find the self-service features valuable."

"The solution's biggest advantage is flexibility"

"Role-based access control and application blueprinting."

"The initial deployment was super easy."

"The solution includes the option to run background scripts and processes from a connected API."

"Cloudify works in cases where you have very advanced service chaining requirements. It really works well there, and it fits the best. They have a standardized markup that's based on TOSCA, which is a standard. I like the fact that they're standards-based. Their solution works extremely well if you have the talent and the manpower to write TOSCA descriptors to deploy and interchange services or to automate the configuration and turn up of services."

"TOSCA model allows modeling the application rather than the automation. It is a machine-readable representation of the application and its infrastructure, which can be used for other things too, not just for the orchestration (e.g. enterprise architecture big picture, who connects to whom)."

"It enables a single platform to communicate with the entire infrastructure."

"Has great extendability which means you can build your own custom logic."

"Extensible internal functions and plugins. Can implement custom plugins to fit your scenario. Python based plugins."

"You can use only what you need. You can remove certain Cloudify functions from the framework to create a "minified" version of what you need. This might only consist of the messaging delivery system, and the orchestration functions."

"Valuable features are auto-scaling and load balancing."

More Cloudify pros

Cons

"The reporting needs to be improved. It's important for us to know and be able to look back on what happened and why certain decisions were made, and we want to use a custom report for this."

"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."

"Remove the need for special in-house knowledge and development."

"In Azure, it's not what you're using. You purchase the whole 8 TB disk and you pay for it. It doesn't matter how much you're using. So something that I've asked for from Turbonomic is recommendations based on disk utilization. In the example of the 8 TB disk where only 200 GBs are being used, based on the history, there should be a recommendation like, "You can safely use a 500 GB disk." That would create a lot of savings."

"There is room for improvement [with] upgrades. We have deployed the newer version, version 8 of Turbonomic. The problem is that there is no way to upgrade between major Turbonomic versions. You can upgrade minor versions without a problem, but when you go from version 6 to version 7, or version 7 to version 8, you basically have to deploy it new and let it start gathering data again. That is a problem because all of the data, all of the savings calculations that had been done on the old version, are gone. There's no way to keep track of your lifetime savings across versions."

"They have a long road map when we ask for certain things that will make the product better. It takes time, but that's understandable because there are other things that are higher on the priority list."

"The automation area could be improved, and the generic reports are poor. We want more details in the analysis report from the application layer. The reports from the infrastructure layer are satisfactory, but Turbonomic won't provide much information if we dig down further than the application layer."

"If they would educate their customers to understand the latest updates, that would help customers... Also, there are a lot of features that are not available in Turbonomic. For example, PaaS component optimization and automation are still in the development phase."

More IBM Turbonomic cons

"Could increase the number of integrations and add more out-of-the-box work flows."

"The area of integrating on-prem and cloud needs improvement."

"The management of SaaS must be improved."

"The scheduling feature of CloudBolt needs improvement because sometimes, it doesn't work."

"The solution is not easy to use. It's not intuitive enough to click anywhere in the solution and make it work."

"Error handling could be improved; GUI is lacking with respect to user privileges and connectivity."

"The solution is a bit of a headache because mistakes happen in the blueprint every time we deploy and they require modifications."

"It lacked the user interface for multitenancy and basic platform management tasks. It is a leader in the niche area that they like to perform in, but it only does about 30% of top-tier advanced functions of platform management. It doesn't meet about 70% of what you need to manage a private cloud platform."

"Certainly the UI could use some intensive work, but nevertheless, overall, it’s a complete product with its 3.4 version and much better features are available with 4.0."

"The upgrading process could be simplified."

"Unlike the Docker environment, Cloudify takes time for configuration and its learning curve."

"Install of the product itself could be improved and I would like to see better event monitoring."

Pricing and Cost Advice

"Contact the Turbonomic sales team, explain your needs and what you're looking to monitor. They will get a pre-sales SE on the phone and together work up a very accurate quote."

"If you're a super-small business, it may be a little bit pricey for you... But in large, enterprise companies where money is, maybe, less of an issue, Turbonomic is not that expensive. I can't imagine why any big company would not buy it, for what it does."

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

"The pricing is in line with the other solutions that we have. It's not a bargain software, nor is it overly expensive."

"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 know there have been some issues with the billing, when the numbers were first proposed, as to how much we would save. There was a huge miscommunication on our part. Turbonomic was led to believe that we could optimize our AWS footprint, because we didn't know we couldn't. So, we were promised savings of $750,000. Then, when we came to implement Turbonomic, the developers in AWS said, "Absolutely not. You're not putting that in our environment. We can't scale down anything because they coded it." Our AWS environment is a legacy environment. It has all these old applications, where all the developers who have made it are no longer with the company. Those applications generate a ton of money for us. So, if one breaks, we are really in trouble and they didn't want to have to deal with an environment that was changing and couldn't be supported. That number went from $750,000 to about $450,000. However, that wasn't Turbonomic's fault."

"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."

"Price is a big one. VMTurbo was very competitively priced."

More IBM Turbonomic pricing and cost advice

"I rate the pricing an eight out of ten because the solution is expensive."

"The solution is reasonably priced."

"The system is cheaper if a customer has fewer servers since you pay by the node."

"I wasn't involved in the pricing of it because we were just doing prototype work with it, but I was told by the upper management team that it was quite expensive. That was another reason we switched to Morpheus."

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Top Industries

By visitors reading reviews

Financial Services Firm

16%

Computer Software Company

14%

Manufacturing Company

11%

Healthcare Company

Computer Software Company

18%

Financial Services Firm

12%

Government

10%

University

Computer Software Company

19%

Financial Services Firm

15%

Retailer

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

What is your experience regarding pricing and costs for Turbonomic?

It offers different scenarios. It provides more capabilities than many other tools available. Typically, its price is...

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What needs improvement with Turbonomic?

The implementation could be enhanced.

See all answers

What is your primary use case for Turbonomic?

We use IBM Turbonomic to automate our cloud operations, including monitoring, consolidating dashboards, and reporting...

See all answers

What do you like most about CloudBolt?

I find the self-service features valuable.

See all answers

What is your experience regarding pricing and costs for CloudBolt?

I rate the pricing an eight out of ten because the solution is expensive. The license is expensive to acquire.

See all answers

What needs improvement with CloudBolt?

The area of integrating on-prem and cloud needs improvement. Another area that the solution needs to improve on is th...

See all answers

What do you like most about Cloudify?

It enables a single platform to communicate with the entire infrastructure.

See all answers

What needs improvement with Cloudify?

The solution could be improved with respect to error handling. If the deployment fails, we get an error message. If w...

See all answers

What is your primary use case for Cloudify?

Cloudify is a DevOps tool that we use for spinning up the VM. In order to do that it needs to communicate with the IP...

See all answers

Comparisons

VMware Aria Operations vs IBM Turbonomic

Compared 20% of the time

Azure Cost Management vs IBM Turbonomic

Compared 12% of the time

VMware vSphere vs IBM Turbonomic

Compared 9% of the time

Cisco Intersight vs IBM Turbonomic

Compared 9% of the time

Intel Granulate vs IBM Turbonomic

Compared 2% of the time

More IBM Turbonomic Competitors

Morpheus vs CloudBolt

Compared 48% of the time

VMware Aria Automation vs CloudBolt

Compared 13% of the time

BMC Helix Cloud Security vs CloudBolt

Compared 11% of the time

BMC Cloud Lifecycle Management vs CloudBolt

Compared 9% of the time

Nutanix Cloud Manager (NCM) vs CloudBolt

Compared 7% of the time

More CloudBolt Competitors

Morpheus vs Cloudify

Compared 37% of the time

CloudStack vs Cloudify

Compared 16% of the time

Nutanix Cloud Manager (NCM) vs Cloudify

Compared 14% of the time

OpenNebula vs Cloudify

Compared 13% of the time

VMware Aria Automation vs Cloudify

Compared 10% of the time

More Cloudify Competitors

Product Reports

Buyer's Guide

IBM Turbonomic

October 2024

Download IBM Turbonomic product report

Buyer's Guide

CloudBolt

November 2024

Download CloudBolt product report

Buyer's Guide

Cloudify

November 2024

Download Cloudify product report

Also Known As

Turbonomic, VMTurbo Operations Manager

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IBM

CloudBolt

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Cloudify

Interactive Demo

IBM

Demo not available

CloudBolt

Demo not available

Cloudify

Overview

IBM Turbonomic is a performance and cost optimization platform for public, private, and hybrid clouds used by companies to assure application performance while eliminating inefficiencies by dynamically resourcing applications through automated actions.

IBM Turbonomic leverages AI to continuously analyze application resource consumption, deliver insights and dashboards, and make real-time adjustments. Common use cases include cloud cost optimization, cloud migration planning, data center modernization, FinOps acceleration, Kubernetes optimization, sustainable IT, and application resource management. By integrating with various cloud platforms, on-premise infrastructures, and containers, IBM Turbonomic provides a holistic view of the environment, ensuring that resources are allocated efficiently.

The solution is designed to support complex IT environments, offering actionable insights and automated actions that help IT teams proactively manage application performance and infrastructure resources. Turbonomic customers report an average 33% reduction in cloud and infrastructure waste without impacting application performance, and return-on-investment of 471% over three years.

IBM Turbonomic manages resources across hybrid and on-premises data centers to ensure efficiency and financial impact awareness. It automates resource allocation, balances memory dynamically, and provides robust performance metrics. Users benefit from its ability to prevent resource starvation and offer cost-saving recommendations through continuous management. Executive Dashboards provide insights for cost justification and resource management, making IT operations simpler with AI-driven automation and actionable recommendations.

What are the most important features of IBM Turbonomic?

Automated Resource Allocation: Dynamically allocates resources for optimal performance.
Dynamic Memory Balancing: Adjusts memory allocation to prevent resource shortages.
Right-Sizing: Sizes VMs accurately for Azure and on-prem environments.
Single Platform Management: Manages resources across hybrid and on-premises data centers.
Proactive Performance Optimization: Continuously optimizes performance to prevent issues.
Kubernetes Support: Enhances container management with robust support.
Cost-Saving Recommendations: Provides actionable tips for reducing expenses.

What benefits should users look for in IBM Turbonomic reviews?

Cost Reduction: Helps minimize expenses through efficient resource management.
Performance Improvement: Enhances application performance by preventing resource starvation.
Detailed Insights: Offers comprehensive analytics to justify costs and resource utilization.
Simplified IT Processes: Uses AI automation to streamline operations.

IBM Turbonomic is implemented across multiple industries, including finance for optimizing peak payroll processing, IT for enhanced virtual server management, and healthcare for reliable performance monitoring. Organizations benefit from its robust automation, ensuring maximum efficiency and cost savings.

CloudBolt supports a variety of cloud technologies, from on-premises virtualization and private cloud to a wide range public and hybrid cloud configurations.

No need to rip-and-replace. CloudBolt provides easy import, syncing, and management of legacy deployments even as it helps you build out new cloud environments.

CloudBolt lets administrators create and maintain configuration standards while developing a reusable library of service and application templates.

Cloudify is an open-source orchestration-first cloud management platform. The solution allows applications to efficiently run across multiple cloud or data center platforms for premium multi-cloud infrastructure automation and orchestration. It provides infrastructure automation using environment as a service (EaaS) technology to deploy and continuously manage any cloud, private data center, or Kubernetes service from one central point while leveraging existing toolchains.

Cloudify Product Highlights

Fully customizable (white label, add, and modify widgets)
Create a custom view per business units, groups, user role
Easy integration with any 3rd-party/homegrown portal
Identify and eliminate task execution failures via a visual interface
Easy service composition that allows you to create new or update existing services
Switch between code and topology views
Import existing automation templates and scripts into Cloudify and automatically convert them into certified environments.
Intelligent and declarative engine that automates the entire lifecycle management
Intuitive UX and dashboards allowing complete visibility and control over usage, behavior, faults, and events of application/network services.

Cloudify Features

Cloudify has many valuable key features. Some of the most useful ones include:

Elastic caching
Post-deployment automation
Deployment monitoring
Service catalog
Real-time code validation
Plugins (Kubernetes, Ansible, AWS Cloud Formation, Azure ARM, Terraform)
Advanced Kubernetes management UI
Multi cluster action
Governance and compliance
Self-serve experience

Cloudify Benefits

There are many benefits to implementing Cloudify. Some of the biggest advantages the solution offers include:

Operation agility: Cloudify gives your organization and DevOps teams the ability to react to resource needs, evolve, and adapt quickly over time.

Self-service: Cloudify provides a self-service catalog and portal framework for cloud automation and cloud orchestration to provide a helpful and intuitive experience for environments, apps, and services setup and management.

Real-time visibility: Cloudify enables you to visually track all task executions. By implementing Cloudify, you can monitor progress and status of each execution step on Cloudify’s cloud orchestration platform, identify and eliminate task execution failures via a visual interface, and you can also apply management actions, such as stop, correct, and resume, quickly.

Reduce design and configuration time: The Cloudify solution has a visual editor, allowing greater visibility into blueprint structure and dependencies, and drag-n-drop service composition that helps you leverage shared resources and components for ultimate open-source infrastructure and cloud orchestration.

Fast deployment: Another benefit of Cloudify is that it helps speed up deployments of your test/dev/production environments from your CI/CD.

Enables continuous updates: With Cloudify, you have continuous updates for your production environments. Cloudify enables your organization to monitor health, heal failures, update patches, and scale resources without any environment downtime.

Governance: By using the Cloudify solution, you can accommodate governance changes and can scale and update operations according to your certified architecture.

Easier to manage Kubernetes: Cloudify makes it simple for you to manage multi Kubernetes clusters via service orchestration, enabling you to manage the application service itself rather than just its infrastructure.

Cost optimization: With Cloudify, you can control costs by employing end-to-end modeling of the entire infrastructure. The solution offers cost-saving policies, which include the decommissioning of formerly complex services and resources.

Sample Customers

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

WM, CyWest, Panic, Camden, University of Maryland, Xerox, Neustar, Medidata, Continu, Aruba Networks, Neuberger Berman, Peak6, EverBank, Ascensus, Hosting Edge

Proximus Partner Communications (Israel) VMware NTT Data Metaswitch Spirent Communications Lumina Networks Atos Fortinet

Buyer's Guide

CloudBolt vs. Cloudify

October 2024

Free Report: CloudBolt vs. Cloudify

Find out what your peers are saying about CloudBolt vs. Cloudify and other solutions. Updated: October 2024.

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