Elastic DataOps

Elastic operations that combine DevOps and Data Engineering for better data systems

What is Elastic DataOps?

Modern data platforms are built with a dizzying number of technologies. At the same time, the expectations of your customers, analysts, data engineers, and data scientists are getting higher every day. Elastic DataOps help you architect, operate, automate, and support your data platform to meet the needs of your customers. 


  • Design your cloud security, accounts, and data.
  • Choose new platform capabilities and tooling.
  • Advise as new data systems requirements arise.
  • Review use case architectures and define best practices.


  • Build your infrastructure-as-code and CI/CD systems.
  • Deploy centralized logging and monitoring.
  • Secure authorization policies for cloud data services.
  • Manage configurations, resources, and provisioning for cloud and data services. 


  • Self-service for user provisioning and security management.
  • Monitoring and alerting for problems and performance.
  • Reporting for costs and chargebacks.
  • Migrate workloads with SQL translation.


  • Incident management and response.
  • Troubleshooting for deployment, capacity, connectivity, resources, and function.
  • Management of applications & platform configurations.
  • Coordination of changes and service requests. 

Who needs Elastic DataOps?

IT and data management teams who seek to deliver reliable experience for analytics and ML users.

Business teams that expect access to reliable, up-to-date data.

Product owners who are building products using data and AI. 

Data scientists who want reliable access to data in all its forms.

Governance and security teams that need to eliminate data sprawl and centralize management.

What is (and is not) included in Elastic DataOps?

Elastic DataOps is one of our most flexible offerings. No two customers are exactly alike, but below we list some examples of what is typically covered and not covered. 

What do DataOps Engineers do?

What do DataOps Engineers not do?

We love our Elastic DataOps clients.

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Got Elastic DataOps questions? We've got answers.

Our typical Elastic DataOps customer is a large enterprise using many different cloud-based data technologies. Pricing for these services typically starts at about $150,000 per year and increases based on the support hours and complexity of the platform. Our smaller customers with less complexity typically opt for Snowflake Elastic Platform Operations. All of our elastic operations offerings use elastic, usage-based pricing. You pay only for the parts of the service that you use.

DataOps and CloudOps engineers have plenty in common. Both use DevOps principles of continuous integration and continuous deployment (CI/CD). Both are involved in management of infrastructure, creating best practices for automation, deploying infrastructure, configuration management, resource management, and ensuring SLAs are met. 

DataOps engineers are specialists in applying CloudOps principles to next-generation technologies for analytics, machine learning, and data storage. Since data teams have specific best practices and skills for provisioning, monitoring, automation, and policies, DataOps has emerged as a specialty. 

As an example, DataOps engineers often help support the entire organization to succeed with data. This means making recommendations on analytical file-formats, Spark sizing, troubleshooting and debugging pipelines, and configuration management for data warehouses. They also help to choose and manage common tooling and automation like self-service onboarding, automated access management, or centralized logging and alerting.

Great data operations = great outcomes.

  • Speedy response times

    Expert operations support means that you’ll meet the speed and capability expectations of users.

  • Proven best practices

    We’ve developed our approach with the most advanced data and analytics organizations, deploying 1000s of data product use cases.

  • Streamlined operations and support costs

    phData saves clients an average of 45% on their platform administration costs, providing 24/7 support along the way.

Want to learn more about Elastic DataOps? We’ve got you covered.

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