IBM Turbonomic vs Sisense comparison

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485 views|233 comparisons
98% willing to recommend
Sisense Logo
0 views|2 comparisons
95% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between IBM Turbonomic and Sisense based on real PeerSpot user reviews.

Find out in this report how the two Cloud Analytics solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed IBM Turbonomic vs. Sisense Report (Updated: March 2024).
768,924 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"The automated memory balancing, where it looks at whether it's being used in the most efficient way and adds or takes away memory, is the best part. If it didn't do that, it would be something that I would have to do. We have too many machines for one person to do that. The automation helps me in that it is done in a really efficient way and a balanced way because of the policies. It really helps.""It became obvious to us that there was a lot more being offered in the product that we could leverage to ensure our VMware environment was running efficiently.""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.""The recommendation of the family types is a huge help because it has saved us a lot of money. We use it primarily for that. Another thing that Turbonomic provides us with is a single platform that manages the full application stack and that's something I really like.""I only deal with the infrastructure side, so I really couldn't speak to more than load balancing as the most valuable feature for me. It provides specific actions that prevent resource starvation. It always keeps things in perfect balance.""Rightsizing is valuable. Its recommendations are pretty good.""Turbonomic can show us if we're not using some of our storage volumes efficiently in AWS. For example, if we've over-provisioned one of our virtual machines to have dedicated IOPs that it doesn't need, Turbonomic will detect that and tell us.""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."

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"The dashboard design interface is very intuitive and allows you to quickly and easily produce professional, innovative dashboards.""The most valuable thing I have found is the ability for Sisense to connect data from totally different sources.""Whenever we have an issue or are unsure how to proceed, they manage to simplify the issue and help us execute it in a graceful and scalable way.""There are many built-in connectors, which allow us to easily add new sources of data, often in minutes.""I have found the dashboard creating feature helpful.""This solution is easy to learn how to use.""A very simple setup: Easy to download, install, and updates are pain free.""No issues with stability. It is a very stable solution."

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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.""While the product is fairly intuitive and easy to use once you learn it, it can be quite daunting until you have undergone a bit of training.""It sometimes does get false positives. Sometimes, it'll move something when it really wasn't a performance metric. I've seen it do that, but it's pretty much an automated tool for performance. We've only got about 500 virtual machines, so lots of times, I'm able to manage it physically, but it's definitely a nice tool for a larger enterprise that might be managing 2,000 or 3,000 virtual machines.""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're still evaluating the solution, so I don't know enough about what I don't know. They've done a lot over the years. I used Turbonomics six or seven years ago before IBM bought them. They've matured a lot since then.""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.""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.""Some features are only available via changes to the deployment YAML, and it would be better to have them in the UI."

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"I would also like to be able to run a bursts of reports based on different field values with PDF output right in the tool, rather than filtering on each field value and generating each PDF manually.""I would like to see more development and growth for the support of Knowledge Base and Community forums.""The initial version we purchased only ran on Windows servers, which was less than ideal for our DevOps team. I believe that has been remedied in the latest release.""I would like Sisense to improve its performance, particularly when we are dealing with large-scale data.""Larger datasets will sometimes give a "Accumulated logs" error when trying to make minor changes. T""The solution's setup process could be easier.""This solution does not have tabs. In order to have tabs, you have to download an add-on to mimic the tabs. They should be integrated to improve the solution.""At present there are additional costs involved if we wish to share our data queues within this solution, which we would like to see removed."

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Pricing and Cost Advice
  • "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."
  • "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."
  • "What I can advise is to trial the product, taking advantage of the Turbonomic pre-sales implemention support and kickstart training."
  • "Licensing is per socket, so load up on the cores rather than a lot of lower core CPUs."
  • "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."
  • "Price is a big one. VMTurbo was very competitively priced."
  • "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."
  • "It was an annual buy-in. You basically purchase it based on your host type stuff. The buy-in was about 20K, and the annual maintenance is about $3,000 a year."
  • More IBM Turbonomic Pricing and Cost Advice →

  • "This solution is more expensive than Tableau, Qlik and Dundas. It is an expensive tool. They charge $75,000 while Tableau is $45,000."
  • More Sisense Pricing and Cost Advice →

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    Questions from the Community
    Top Answer: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.
    Top Answer: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… more »
    Top Answer:I mostly provide it to my clients. There are multiple reasons why they would use it depending on the client's needs and their solution.
    Top Answer:The solution's technical support team is good.
    Top Answer:Sisense is good in terms of visualization, but it has some drawbacks. For example, it doesn't have any way to sort or filter tables directly on the server side. Also, you can't have multiple tabs; it… more »
    Top Answer:We use the solution to centralize all processes.
    Ranking
    1st
    out of 9 in Cloud Analytics
    Views
    485
    Comparisons
    233
    Reviews
    16
    Average Words per Review
    1,455
    Rating
    8.5
    4th
    out of 9 in Cloud Analytics
    Views
    0
    Comparisons
    2
    Reviews
    5
    Average Words per Review
    373
    Rating
    7.4
    Comparisons
    Also Known As
    Turbonomic, VMTurbo Operations Manager
    Learn More
    IBM
    Video Not Available
    Interactive Demo
    Sisense
    Demo Not Available
    Overview

    IBM Turbonomic is a performance and cost optimization platform for public, private, and hybrid clouds used by customers to assure application performance while eliminating inefficiencies by dynamically resourcing applications through automated actions. Common use cases include cloud cost optimization, cloud migration planning, data center modernization, FinOps acceleration, Kubernetes optimization, sustainable IT, and application resource management. 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. Ready to take a closer look? Explore the interactive demo or start your free 30-day trial today!

    Sisense is an end-to-end business analytics software that enables users to easily prepare and analyze large, complex datasets. Sisense’s Single-Stack BI software includes data preparation, data management, analysis, visualization and reporting capabilities.

    Sample Customers
    IBM, J.B. Hunt, BBC, The Capita Group, SulAmérica, Rabobank, PROS, ThinkON, O.C. Tanner Co.
    Ebay, WIX, Wave Accounting, ESPN.com, Magellan Luxury Hotel, Paylogic, Sony, Merck, EDA, One Hour Translation, NASA, Plastic Jungle, Philips, Yahoo
    Top Industries
    REVIEWERS
    Healthcare Company13%
    Manufacturing Company13%
    Financial Services Firm13%
    Insurance Company7%
    VISITORS READING REVIEWS
    Computer Software Company18%
    Financial Services Firm16%
    Manufacturing Company9%
    Insurance Company6%
    REVIEWERS
    University17%
    Media Company13%
    Retailer8%
    Leisure / Travel Company8%
    VISITORS READING REVIEWS
    Financial Services Firm25%
    Computer Software Company16%
    Healthcare Company6%
    Government6%
    Company Size
    REVIEWERS
    Small Business17%
    Midsize Enterprise23%
    Large Enterprise60%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise11%
    Large Enterprise71%
    REVIEWERS
    Small Business57%
    Midsize Enterprise17%
    Large Enterprise26%
    VISITORS READING REVIEWS
    Small Business27%
    Midsize Enterprise14%
    Large Enterprise60%
    Buyer's Guide
    IBM Turbonomic vs. Sisense
    March 2024
    Find out what your peers are saying about IBM Turbonomic vs. Sisense and other solutions. Updated: March 2024.
    768,924 professionals have used our research since 2012.

    IBM Turbonomic is ranked 1st in Cloud Analytics with 204 reviews while Sisense is ranked 4th in Cloud Analytics with 39 reviews. IBM Turbonomic is rated 8.8, while Sisense is rated 8.8. The top reviewer of IBM Turbonomic writes "The solution reduced our operational expenditures and is able to identify points before we even noticed them ". On the other hand, the top reviewer of Sisense writes "Business intelligence solution that has improved automation and provided meaningful insights". IBM Turbonomic is most compared with VMware Aria Operations, Azure Cost Management, Cisco Intersight, VMware Aria Cost powered by CloudHealth and VMware vSphere, whereas Sisense is most compared with Microsoft Power BI, Tableau, Apache Superset, Qlik Sense and Amazon QuickSight. See our IBM Turbonomic vs. Sisense report.

    See our list of best Cloud Analytics vendors.

    We monitor all Cloud Analytics reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.