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Data Mechanics - Cloud Management Platform

Data Mechanics

The simplest way to run Apache Spark

Starts from $0.05

7.6/10

Spot Score

Overview of Data Mechanics

What is Data Mechanics ?

Data Mechanics offers a hassle-free and secure way to run Apache Spark in the cloud. We'll manage all the Kubernetes components in your account, keeping your valuable data safe. Continuous optimization of infrastructure parameters and Spark settings ensures peak performance ... Read More

API available

Data Mechanics Platforms

  • Browser Based (Cloud)

Data Mechanics Customer Type

  • Individuals
  • Large Enterprises
  • Medium Business
  • Small Business

Data Mechanics Features

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Pricing of Data Mechanics

Starts from $0.05

  • Free Trial,
  • Subscription

Screenshot of the Data Mechanics Pricing Page (Click on the image to visit Data Mechanics 's Pricing page)

Disclaimer: Pricing information for Data Mechanics is provided by the software vendor or sourced from publicly accessible materials. Final cost negotiations and purchasing must be handled directly with the seller. For the latest information on pricing, visit website. Pricing information was last updated on .

Data Mechanics Alternatives

Data Mechanics Integrations

Data Mechanics FAQs

Data Mechanics is a Cloud Management Platform. Data Mechanics offers the following functionalities:
  • Real-time Sync
  • Task Automation
  • Multi-cloud Management
  • Automated Deployment
  • API Integration
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Here's a list of the best alternatives for Data Mechanics
Yes, Data Mechanics provides API.
No, Data Mechanics doesn’t provide mobile app.
Data Mechanics is located in San Francisco, California
Data Mechanics offers Free Trial, Subscription pricing models
Yes, Data Mechanics can integrate withRead More

Data Mechanics Support

Customer Service

Online

Location

San Francisco, California

Reach out to Data Mechanics Social channels

Read More about Data Mechanics

Data Mechanics offers a hassle-free and secure way to run Apache Spark in the cloud. We'll manage all the Kubernetes components in your account, keeping your valuable data safe. Continuous optimization of infrastructure parameters and Spark settings ensures peak performance and stability for your applications. Additionally, you can connect directly to the platform from Jupyter notebooks. Just a few clicks and your work is up and running, without any delays. Even better, we offer IDE integrations to move from

Disclaimer: This research has been collated from a variety of authoritative sources. We welcome your feedback at [email protected].

Researched by Rajat Gupta