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Is DataRobot a good company?

Is DataRobot a good company?

Overall, the employees at DataRobot are generally happy, based on their aggregated ratings of future outlook, customer perception, and their excitement going to work.

How much is a DataRobot license?

Pricing Information

Units Description 12 MONTHS
MLDev & MLOps 5 users (user limit) + 10 model workers + 5 models deployed $65,000

Is DataRobot a public company?

DataRobot is a privately held company The executive leaders of the business have not yet filed for an Initial Public Offering. DataRobot is financially backed by venture capital and has not yet taken the step to go public.

Who is the CEO of DataRobot?

Dan Wright (2021–)
DataRobot, Inc./CEO

Dan Wright Named Chief Executive Officer of DataRobot – DataRobot AI Cloud. DataRobot 7.3 introduces over 80 new features and capabilities designed for all users to enable AI-driven decisions across all lines of business, within a single platform.

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How can I buy DataRobot shares?

How to buy shares in DataRobot when it goes public

  1. Compare share trading platforms. Use our comparison table to help you find a platform that fits you.
  2. Open your brokerage account. Complete an application with your details.
  3. Confirm your payment details. Fund your account.
  4. Research the stock.
  5. Purchase now or later.

Who uses DataRobot?

Companies Currently Using DataRobot

Company Name Website Country
Ford Motor Company ford.com US
CoEnterprise, LLC coenterprise.com US
LendingTree lendingtree.com US
Verizon verizon.com US

Is DataRobot a private company?

DataRobot is a privately held company The executive leaders of the business have not yet filed for an Initial Public Offering.

Where is DataRobot located?

DataRobot headquarters is located at 225 Franklin St 13th Floor, Boston. Where are DataRobot offices? DataRobot has offices in Boston, San Francisco, Columbus, Washington and in 8 other locations.

Is DataRobot going public?

DataRobot is a privately held company DataRobot is financially backed by venture capital and has not yet taken the step to go public. There really hasn’t been a need to file an IPO because the main reason for going public is to raise funds and DataRobot has ample financial backing from the private sector.

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Is DataRobot open source?

DataRobot + Open Source Model Infrastructure The open source model infrastructure is an essential underpinning of the DataRobot AI Cloud platform, which uses open-source algorithms for most of its models because they are some of the best available.

How many people work at DataRobot?

DataRobot has more than 1,000 employees, according to Craft, an enterprise intelligence web site. The automated machine learning vendor also has offices in San Francisco and Chicago, as well in Australia, Germany, Japan, Singapore, Ukraine and the United Kingdom.

Will DataRobot be acquired?

Oppenheimer will remain at DataRobot following the acquisition. He co-founded Algorithmia with Kenny Daniel, the company’s CTO. DataRobot also announced a $300 million Series G funding round at a $6.3 billion valuation alongside its acquisition of Algorithmia.

What is the difference between datadatarobot and Databricks?

Datarobot focuses on automated machine learning. You upload data in a spreadsheet-like format, and it automatically finds a good model and parameters to predict a specific column. Databricks is primarily a managed Apache Spark environment that also includes integrations with tools like MLFlow for workflow orchestration.

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What is the difference between Alteryx and DataRobot?

Alteryx vs. Datarobot Alteryx is a broader solution that provides analytics, data management, and dashboarding components as well as no-code machine learning. Datarobot has a narrower focus on no-code machine learning. Use Alteryx if your focus is on data and analytics, and you need a platform for your whole organization.

What is the difference between datdatabricks and Dataiku?

Databricks acts as the glue between Apache Spark, AWS or Azure, and MLFlow, and provides a centralized interface to connect these. Dataiku is a higher-level tool, with integrations for machine learning libraries like Tensorflow and an AutoML interface that can do machine learning on data in a spreadsheet format.

What is Dataiku used for in machine learning?

Dataiku is a higher-level tool, with integrations for machine learning libraries like Tensorflow and an AutoML interface that can do machine learning on data in a spreadsheet format. Use Dataiku if you’re comfortable managing your own infrastructure but want a platform to manage your machine learning pipelines and analytics.