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Turbonomic VS IBM Workload Automation

Compare Turbonomic VS IBM Workload Automation and see what are their differences

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Contents:
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  2. » Videos
  3. » Reviews
  4. » Alternatives

Turbonomic logo Turbonomic

Turbonomic AI-powered Application Resource Management simultaneously optimizes performance, compliance, and cost in real time. Applications are continually resourced, automatically, to perform while satisfying business constraints.

IBM Workload Automation logo IBM Workload Automation

IBM Workload Automation helps increase productivity and governance of enterprise business workloads with hybrid automation and applied analytics.
  • Turbonomic Landing page
    Landing page //
    2023-10-02
  • IBM Workload Automation Landing page
    Landing page //
    2023-03-28

Turbonomic

Website
turbonomic.com
Pricing URL
Official Turbonomic Pricing
Release Date
2008 January
Startup details
Country
United States
State
Massachusetts
City
Boston
Founder(s)
Danillo Florissi
Employees
250 - 499
Edit details

IBM Workload Automation

Website
ibm.com
Pricing URL
-
Release Date
-
Edit details

Turbonomic features and specs

  • Automated Resource Management
    Turbonomic's automation capabilities enable efficient management of resources, reducing the need for manual intervention and increasing operational efficiency.
  • Cost Optimization
    The platform helps in identifying and scaling down underutilized resources in cloud and on-prem environments, leading to significant cost savings.
  • Performance Improvement
    By providing real-time analytics and recommendations, Turbonomic ensures that applications run efficiently, improving overall system performance and user experience.
  • Multi-Cloud Support
    Turbonomic supports a wide range of cloud providers, allowing seamless management of diverse cloud environments from a single dashboard.
  • Integration Capabilities
    The platform can be integrated with various IT management tools, enhancing its functionality and providing a comprehensive IT operations solution.
  • AI-Driven Decision Making
    Leveraging machine learning algorithms, Turbonomic provides intelligent recommendations and decisions for optimal resource management.

Possible disadvantages of Turbonomic

  • Complexity in Setup
    Initial setup and configuration of Turbonomic can be complex and time-consuming, requiring significant expertise to get started.
  • Cost
    While it offers cost-saving features, Turbonomic itself can be expensive, particularly for smaller organizations with limited budgets.
  • Learning Curve
    Due to its advanced features and comprehensive nature, there is a steep learning curve associated with effectively using the platform.
  • Vendor Dependency
    Heavily relying on Turbonomic for resource management may create dependency on the software, limiting flexibility in choosing alternative solutions.
  • Performance Impact
    In some cases, running the Turbonomic software can introduce additional load on resources, which may impact overall system performance.
  • Limited Customization
    While offering robust automated features, Turbonomic may have limited scope for customization, restricting the ability to tailor the solution to specific needs.

IBM Workload Automation features and specs

  • Comprehensive Automation
    IBM Workload Automation provides a wide range of automation capabilities across different platforms and environments, which can simplify complex workflows and improve operational efficiency.
  • Scalability
    The software supports scalability, allowing businesses to grow and manage workflows efficiently as their needs and operations expand.
  • Integration Capabilities
    It offers strong integration capabilities with various applications, cloud environments, and IT infrastructure, facilitating seamless workflow management across different systems.
  • Improved Efficiency
    By automating repetitive tasks and processes, it reduces manual intervention, thereby improving operational efficiency and reducing the risk of human error.
  • Advanced Scheduling
    The solution provides robust scheduling features which allow precise control over the execution of workflows, including dependency management and triggering based on complex conditions.

Possible disadvantages of IBM Workload Automation

  • Complexity
    The extensive features and configuration options might result in a steep learning curve, especially for organizations that are new to workload automation tools.
  • Cost
    IBM Workload Automation can be expensive, which might be a constraint for smaller businesses or those with limited budgets.
  • Resource Intensive
    The system may require significant IT resources and expertise to deploy and maintain effectively, potentially straining smaller IT departments.
  • Customization Challenges
    While highly customizable, tailoring the solution to fit specific business needs might require substantial time and expertise.
  • Dependence on IBM Support
    Businesses might become reliant on IBM’s customer support for troubleshooting and complex implementations, which can lead to delays if support is not timely or efficient.

Analysis of Turbonomic

Overall verdict

  • Turbonomic is generally regarded as a good solution for application resource management and cloud cost optimization.

Why this product is good

  • Automation: Turbonomic offers powerful automation capabilities that help ensure applications get the resources they need in real-time, improving performance and efficiency.
  • Cost Savings: It can significantly reduce cloud costs by optimizing resource allocation and preventing over-provisioning.
  • Scalability: Turbonomic is suitable for both small-scale and large enterprise environments, providing centralized management of resources across various platforms.
  • Integration: It integrates well with other IT management tools, enhancing its utility and ease of use.
  • User Experience: Many users find its interface intuitive and easy to navigate, with helpful visualizations and dashboards.

Recommended for

  • IT Operations Teams: Those seeking to automate resource management and reduce manual intervention.
  • Enterprise Businesses: Companies looking to optimize their IT infrastructure costs and improve application performance.
  • Cloud Service Managers: Professionals who manage cloud environments and need to maximize their return on investments through efficient resource usage.
  • Development Teams: Developers who need to ensure applications run optimally without resource constraints.

Turbonomic videos

+ Add

Setup Turbonomic - Step by Step [AskJoyB]

More videos:

  • Review - The Business Impacts on Having an Executive Buyer Review - Featuring: Alex Hesterberg, Turbonomic
  • Review - Turbonomic and AppDynamics: Assuring Performance from App to Infrastructure

IBM Workload Automation videos

+ Add

IBM Workload Automation Roadmap and Strategy Update

Category Popularity

0-100% (relative to Turbonomic and IBM Workload Automation)

Turbonomic

IBM Workload Automation

Monitoring Tools
100 100%
Monitoring Tools
0% 0
IT Automation
53 53%
IT Automation
47% 47
Project Management
100 100%
Project Management
0% 0
Workflow Automation
0 0%
Workflow Automation
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Turbonomic and IBM Workload Automation

Turbonomic Reviews

Top 5 Cloud Optimization Tools in 2024
Turbonomic, now part of IBM, is recognized for its AI-powered approach to cloud optimization. Their system automatically manages AWS resources, including EC2 instances, Lambda, and Amazon S3, to ensure businesses don’t overspend. Turbonomic is excellent at pinpointing where cost savings can be made, but the process of implementing these savings remains with the user. With...
Source: cloudfix.com

IBM Workload Automation Reviews

9 Control-M Alternatives & Competitors In 2023
Verdict: IBM Workload Automation has been designed to simplify business, operational, and IT workflows. It is also capable of orchestrating event-driven and unattended workloads. Its user-friendly interface provides graphical views and embedded analytics that allow users to make data-driven decisions.
Source: www.softwaretestingmaterial.com

What are some alternatives?

When comparing Turbonomic and IBM Workload Automation, you can also consider the following products

Amazon CloudWatch - Amazon CloudWatch is a monitoring service for AWS cloud resources and the applications you run on AWS.

Control-M - Control‑M simplifies and automates diverse batch application workloads while reducing failure rates, improving SLAs, and accelerating application deployment.

Freshservice - Freshservice: the one-stop cloud solution for all your IT management needs.

Stonebranch - Stonebranch builds IT orchestration and automation solutions that transform business IT environments from simple IT task automation into sophisticated, real-time business service automation.

Goverlan - Goverlan Reach provides IT systems support and remote management software solutions enabling innovative and simplified ways for businesses to address remote IT administration needs.

ActiveBatch - Orchestrate the entire tech stack with ActiveBatch Workload Automation & Job Scheduling. Build and manage workflows from one place.

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