Carbonite Migrate vs Rivery comparison

OpenText and Rivery are both solutions in the Migration Tools category. OpenText is ranked #8, while Rivery is ranked #5 with an average rating of 8.0. Additionally, 100% of OpenText users are willing to recommend the solution, compared to 100% of Rivery users who would recommend it.

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Carbonite Migrate and Rivery based on real PeerSpot user reviews.

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

To learn more, read our detailed Carbonite Migrate vs. Rivery Report (Updated: October 2024).

Buyer's Guide

Carbonite Migrate vs. Rivery

October 2024

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IBM Turbonomic

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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reviewer1228836

Solutions Architect at Cognizant

Aug 9, 2020

Great tool for one-to-one migration, but not suitable for multi-cloud migration

Some of the tools relating to multi-cloud migration need to be improved as they have a very limited capability at this point in time. These tools are suitable for one-to-one migration scenarios but they are not fit for multi-cloud or hybrid-cloud environments. I would like to point out that I don't have a hands-on very large scale production implementation experience, as that is the job of our infra team. As I mentioned earlier, we find it very difficult to use these tools in a multi-cloud environment but they work well for single-cloud environments — from an on-premise environment to the public cloud. These tools are quite limited, making things much more complex in a multi-cloud environment. They should add a feature that supports multi-cloud and hybrid-cloud environment migration properly. The world is going to be very different five years from now, how will they support these kinds of container-based migrations? Currently, infrastructure as code is very limited. It's not as simple as just moving the server or data. The customer wants you to move the entire application, exactly as it is, and then deploy it. From that perspective, these tools offer only part of the solution, they are not fulfilling the holistic need, which the customer or organization needs. As of now, Carbonite Migrate is helpful on an infrastructure level. If we had to move 100 applications across a multi-cloud environment, then this solution would not work. In the cloud-world (the migration part of it) there needs to be better automation. Let me explain: automation refers to your infra, app, and data. Together, these three components combine and automate will provide you to deploy faster on any cloud platform. As of now, this tool doesn’t fit too much into a multi-cloud environment cloud data migrations. Together, these three components combine and automate it allowing you to deploy it. As of now, these tools cannot deploy it into a multi-cloud environment. That's where the challenge is; that's for other tools. We need to see what this product can do in terms of app, data, and infra. It is automated from the infra point of view, but not in regards to the app and data. Other vendors understand this problem and have taken the necessary steps to address it. In short, multi-cloud and hybrid-cloud environments pose a problem for this solution. I would like to know how I can take the automated path — data, app, and infra all together. That is something they need to enhance. Recently, I have seen a lot of other companies implementing AI-based automation, where more things are taken care of by AI itself, and not people. Many of these migrations are too complex for humans to analyze and form solutions. It is better to use AI platforms to create recommendations and then automate them, that way you can reduce the burden. Currently, the migration time is vast, from six months to one year, it would be impossible to do 100 application migrations. This is very time consuming and needs to be improved.

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reviewer2335923

Senior Operations Analyst at a computer software company with 201-500 employees

Jun 25, 2024

Provides users with an initial setup phase, which is fairly simple to manage

I don't know what could be improved in terms of what my company was used to previously or after moving over to Rivery. I have not had much experience with platforms other than Rivery. For me, Rivalry was a way to step up from what we used. To be honest, I am not really sure what improvements could be made in Rivery. Pricing is a little steep for smaller organizations, I would say. The product's pricing model could be a little bit better. I am not aware if there are additional packages for smaller organizations, but if there are no packages available, then maybe that would be a good way to introduce something new in the tool.

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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

"Turbonomic has helped optimize cloud operations and reduced our cloud costs significantly. Overall, we are at about 40 percent savings, and we spend about three million a year just in Azure. It reduces the size of the VMs, putting them into the right template for usage. People don't realize that you don't have to future-proof a virtual machine in Azure. You just need to build it for today. As the business or service grows, you can scale up or out. About 90 percent of all the costs that we've reduced has been from sizing machines appropriately."

"Turbonomic helps us right-size virtual machines to utilize the available infrastructure components available and suggest where resources should exist. We also use the predictive tool to forecast what will happen when we add additional compute-demanding virtual machines or something to the environment. It shows us how that would impact existing resources. All of that frees up time that would otherwise be spent on manual calculation."

"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 most important feature to us is an objective measurement of VM headroom per cluster. In addition, the ability to check for the right-sizing of VMs."

"Rightsizing is valuable. Its recommendations are pretty good."

"With over 2500 ESX VMs, including 1500+ XenDesktop VDI desktops, hosted over two datacentres and 80+ vSphere hosts, firefighting has become something of the past."

"I like Turbonomic's automation and AI machine learning features. It shows you what it can do, but it can also act on recommendations automatically. Integration with an APM system makes the AI/ML features truly effective. Understanding what the application is doing and the trends of application behavior can help you make real-world decisions and act on that information."

"The system automatically sizes and moves resources based on the needs of the applications."

More IBM Turbonomic pros

"Carbonite Migrate works well in Windows platform migrations and in the case of a VML platform. The migration is smooth in Windows environments."

"Carbonite Migrate is helpful on an infrastructure level."

"Connects to many APIs in the market and new ones are being added all the time."

"The solution's most valuable features are that it is quick to connect and simple to use."

Cons

"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."

"I like the detail I get in the old user interface and will miss some of that in the new interface when we perform our planned upgrade soon."

"The implementation could be enhanced."

"The GUI and policy creation have room for improvement. There should be a better view of some of the numbers that are provided and easier to access. And policy creation should have it easier to identify groups."

"I do not like Turbonomic's new licensing model. The previous model was pretty straightforward, whereas the new model incorporates what most of the vendors are doing now with cores and utilization. Our pricing under the new model will go up quite a bit. Before, it was pretty straightforward, easy to understand, and reasonable."

"We don't use Turbonomic for FinOps and part of the reason is its cost reporting. The reporting could be much more robust and, if that were the case, I could pitch it for FinOps."

"I would like Turbonomic to add more services, especially in the cloud area. I have already told them this. They can add Azure NetApp Files. They can add Azure Blob storage. They have already added Azure App service, but they can do more."

"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."

More IBM Turbonomic cons

"Migration in RHEL and Linux environments can be improved. During RHEL migration with multiple data areas, you have to create a similar source environment at the destination. This can be challenging because you have to install it, create the VM, install over it, and mount it at the mount point. Only then can you do the migration."

"We find it very difficult to use these tools in a multi-cloud environment"

"Lineage and an impact analysis or logic dependency are lacking."

"Pricing is a little steep for smaller organizations, I would say. The product's pricing model could be a little bit better."

Pricing and Cost Advice

"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."

"IBM Turbonomic is an investment that we believe will deliver positive returns."

"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."

"We felt the pricing was very fair for the product. It is in no way prohibitive for larger deployments, unlike other similar product on the market."

"It is an endpoint type license, which is fine. It is not overly expensive."

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

"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."

"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."

More IBM Turbonomic pricing and cost advice

"The licensing costs are really high."

"In terms of pricing, I think it's an expensive tool."

"I rate the tool's price as six out of ten if I consider the lowest price to be one and the highest price to be ten."

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Top Industries

By visitors reading reviews

Financial Services Firm

16%

Computer Software Company

15%

Manufacturing Company

10%

Healthcare Company

Computer Software Company

22%

Government

Media Company

University

Financial Services Firm

17%

Computer Software Company

14%

Government

11%

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

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.

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What is your primary use case for Turbonomic?

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

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What is your experience regarding pricing and costs for Rivery?

The tool's price can be a little steep for a small organization. I rate the tool's price as six out of ten if I consi...

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What needs improvement with Rivery?

I don't know what could be improved in terms of what my company was used to previously or after moving over to Rivery...

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What is your primary use case for Rivery?

My company has started to use the Rivery extract data from Hive. It is like a project management sort of program, and...

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Comparisons

VMware Aria Operations vs IBM Turbonomic

Compared 20% of the time

Azure Cost Management vs IBM Turbonomic

Compared 12% of the time

Cisco Intersight vs IBM Turbonomic

Compared 9% of the time

VMware vSphere vs IBM Turbonomic

Compared 8% of the time

VMWare Tanzu CloudHealth vs IBM Turbonomic

Compared 6% of the time

More IBM Turbonomic Competitors

Nutanix Move vs Carbonite Migrate

Compared 60% of the time

Zerto vs Carbonite Migrate

Compared 22% of the time

AWS Migration Hub vs Carbonite Migrate

Compared 18% of the time

More Carbonite Migrate Competitors

dbt vs Rivery

Compared 52% of the time

Alteryx Designer vs Rivery

Compared 48% of the time

More Rivery Competitors

Product Reports

Buyer's Guide

IBM Turbonomic

October 2024

Download IBM Turbonomic product report

Buyer's Guide

Cloud Migration

October 2024

Download Carbonite Migrate product report

Buyer's Guide

Data Integration

October 2024

Download Rivery product report

Also Known As

Turbonomic, VMTurbo Operations Manager

No data available

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IBM

OpenText

Rivery

Interactive Demo

IBM

Demo not available

OpenText

Demo not available

Rivery

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.

Carbonite Migrate allows you to easily migrate physical, virtual and cloud workloads to and from any environment with minimal risk and near-zero downtime. Options for finely tuned automation help orchestrate every stage of the process.

Rivery is a serverless, SaaS DataOps platform that empowers companies of all sizes around the world to consolidate, orchestrate, and manage internal and external data sources with ease and efficiency.

By offering comprehensive data solutions and partnering with complementary technology providers, including Google, Snowflake, Tableau, and Looker, Rivery enables data-driven companies to build the perfect ecosystems for all their data processes.

Sample Customers

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

Computrade Malaysia

Information Not Available

Buyer's Guide

Carbonite Migrate vs. Rivery

October 2024

Free Report: Carbonite Migrate vs. Rivery

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