DataRaker

DataRaker, founded in the early 2000s, specializes in cloud-based analytics and infrastructure solutions tailored for the utilities sector.

Reviewed by 7wData

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Profile

Provides cloud-based analytics and infrastructure solutions for utilities.

DataRaker, founded in the early 2000s, specializes in cloud-based analytics and infrastructure solutions tailored for the utilities sector. The company has carved out a niche by offering scalable and reliable cloud services that cater to the unique needs of energy and water providers. DataRaker's product portfolio includes advanced analytics tools and cloud infrastructure solutions designed to enhance operational efficiency and disaster recovery strategies.

The company has seen significant growth in recent years, driven by the increasing demand for cloud computing in AI training and inferencing, as well as the need for robust data management systems in utilities. In 2026, DataRaker reported a 28% increase in cloud revenue, reaching $7.2 billion, with cloud infrastructure revenue growing by 55% to $3.3 billion. The company's remaining performance obligations (RPO) surged to $455 billion, reflecting a 359% year-over-year increase.

DataRaker's customer base includes major utilities and energy providers, leveraging its solutions to improve digital interactions and automate data collection processes. The company is currently focused on expanding its AI capabilities and integrating machine learning models to prepare for unpredictable weather patterns and other scenarios.

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Who buys this

  • Energy providers
  • Water utilities
  • Public utility districts
  • Renewable energy companies
  • Municipal utilities

Strengths and what to watch

Strengths

  • Significant growth in cloud revenue and infrastructure services
  • Strong focus on AI and machine learning integration
  • Robust disaster recovery and data management solutions

Watch for

  • Potential challenges in scaling AI capabilities
  • Dependence on large-scale AI contracts for revenue growth
  • Competition from other cloud service providers

Key Information

Founded
2007
Headquarters
Sausalito, Calif, DataRaker

Frequently Asked Questions

What does DataRaker do for utility companies?

DataRaker provides cloud-based analytics and infrastructure solutions tailored for utilities. Their services help energy and water providers improve operational efficiency, disaster recovery, and data management. The company specializes in scalable cloud services with growing AI capabilities for weather prediction and automation in utility operations. (42 words)

How fast is DataRaker growing in the cloud sector?

DataRaker reported 28% cloud revenue growth reaching $7.2 billion in 2026, with cloud infrastructure revenue up 55% to $3.3 billion. Their remaining performance obligations surged 359% year-over-year to $455 billion, indicating strong market demand for their utility-focused cloud solutions. (44 words)

Which types of utility companies use DataRaker's solutions?

DataRaker serves energy providers, water utilities, public utility districts, renewable energy companies, and municipal utilities. Their cloud analytics and infrastructure solutions help these organizations automate data collection, improve digital interactions, and enhance operational resilience through advanced technology. (42 words)

How does DataRaker incorporate AI into utility operations?

DataRaker integrates machine learning models to help utilities prepare for unpredictable weather and other scenarios. Their AI capabilities focus on improving operational efficiency and customer experience, with growing investments in training and inferencing for energy sector applications. (43 words)

What makes DataRaker different from other cloud providers?

DataRaker specializes exclusively in utility sector solutions, offering tailored cloud analytics and infrastructure. Their focus includes disaster recovery, operational efficiency, and AI integration specifically designed for energy and water providers' unique needs, setting them apart from general-purpose cloud providers. (44 words)

What challenges does DataRaker face in scaling its business?

DataRaker must manage scaling its AI capabilities while maintaining service quality. The company relies heavily on large AI contracts for growth and faces competition from broader cloud providers. Their success depends on continued utility sector adoption of specialized cloud solutions. (45 words)

Sources

  1. www.prnewswire.com — Financial results and growth metrics for DataRaker
  2. www.druidai.com — Case study on utilities using AI agents for customer experience
  3. investors.danaher.com — Financial results and market trends relevant to utilities
  4. www.esource.com — Study on energy reliability and customer satisfaction in utilities