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What is IBM Turbonomic?

Cut your infrastructure costs by one-third, reduce data center upgrades by a whopping 75%, and recover 30% of your engineering hours with improved resource management techniques. As applications grow more complex, they often place a heavy burden on teams striving to adapt to fluctuating demands. When application performance dips, teams frequently react too slowly, tackling issues at a pace that doesn't match the urgency required. To avoid service disruptions, businesses may end up overprovisioning resources, resulting in costly miscalculations that do not achieve the intended outcomes. The IBM® Turbonomic® Application Resource Management (ARM) platform alleviates this unpredictability, providing substantial savings in both time and costs. By automating critical actions in real-time with no need for human intervention, it maximizes the effective use of computing, storage, and network resources for your applications throughout all levels of the technology stack. This forward-thinking method empowers teams to prioritize innovation instead of merely managing maintenance tasks, ultimately fostering a more productive environment. Embracing such solutions not only enhances operational efficiency but also drives greater organizational agility.

What is Keebo?

Keebo Datalearning presents an excellent solution for those worried about escalating cloud warehousing expenses and the extensive time their data teams spend fine-tuning queries and data models, especially when users voice frustrations over sluggish dashboard performance. While Snowflake offers robust features, it can also lead to significant costs. With Keebo's fully automated optimizations, you can see a reduction in your Snowflake expenses within minutes. Our pricing model is simple: we only take a percentage of the savings we generate for you, meaning no savings equate to no charges. If you're swamped with other responsibilities, fear not; Keebo's setup process is quick, taking just 30 minutes from start to finish, allowing you to set it and forget it. There’s no need for installations or granting access to your data, making it hassle-free. Every data team grapples with inefficient queries that demand substantial manual labor, time, and expertise. However, with Keebo, you can achieve the desired performance without the heavy lifting. Our solution is platform-independent, enhancing performance across various systems, ultimately boosting the ROI of your current data and analytics investments. The implementation process is seamless, requiring zero coding, no alterations, and no migration efforts, making it an attractive option for organizations seeking efficiency.

Media

Media

Integrations Supported

Azure Marketplace
HPE OneView
IBM Cloud Pak for Watson AIOps
Microsoft Exchange

Integrations Supported

Amazon Redshift
Amazon S3
Google Cloud BigQuery
Looker
Microsoft Power BI
Oracle Cloud Infrastructure
Presto
SQL Server
Snowflake
Tableau

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS
Windows
Mac

Supported Platforms

SaaS

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars
On-Site Training

Training Options

Documentation Hub
On-Site Training

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/products/turbonomic

Company Facts

Organization Name

Keebo

Company Location

United States

Company Website

keebo.ai/

Categories and Features

AIOps

Not specified

Cloud Cost Management

Not specified

Cloud Management

Not specified

Cloud Monitoring

Not specified

Container Monitoring

Not specified

Database Monitoring

Not specified

IT Alerting

Not specified

IT Automation

Not specified

Virtualization

Data Mobility
Desktop Virtualization
Performance Management

Categories and Features

Cloud Cost Management

Not specified

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