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Managed Spark by Canonical

Speed up your time to value with open source Apache Spark as a managed service.

Benefit from increased agility, backed by an SLA. Canonical delivers the service in your cloud tenancy or data centre.


Managed Spark on your cloud


Why choose Canonical’s Managed Spark


Streamline operations

Offload critical Spark operational service delivery to Canonical, so that your internal team can focus on your business goals.

High availability

Our deep expertise in open source software enables us to manage systems with high uptime, ensuring that even the strictest SLAs will be met. We guarantee 99.9% availability of the Spark service.

Secure and compliant

Our operations are certified, and undergo regular independent audits for your assurance.

Innovate at scale with your data

Delivering at web scale can be immensely challenging. Canonical’s managed services for Spark scale efficiently – so your Spark service remains stable and exceptionally cost-effective as your business grows.


Our process

Our Managed Solutions process is easy and intuitive. You’ll initially be consulted by our specialists to design the best managed solution for your needs. Afterwards, it’s all on us:


1. Deployment

Specialized Canonical engineers deploy a database sustainably and efficiently on any cloud.


2. Management

Our team manages all your ‘day 2’ operations, from observability to upgrades. We handle all issues, and consistently enforce the security of your environment.


3. Optional handover

There’s no vendor lock-in with Canonical, so if after a while you want to start managing your environments by yourself, we can teach you how and give you remote support for high-severity cases.


Key features

  • Backed by an SLA

    Backed by a 99.9% uptime SLA. Your data is the backbone of your business. Canonical ensures that it’s available with a high uptime commitment. Canonical managed services for Spark keep the data flowing.
  • Secure by design

    Service delivery with security in mind. Minimize risks. Canonical managed services are routinely audited for conformance to industry standards and legislation like GDPR, ISO:27001, and SOC-2 Type II.
  • Turnkey service

    A complete solution, on your cloud tenancy or in your data centre. Canonical covers the full project engagement including architecture design, deployment, transition, and day-to-day operations.
  • Service health dashboards

    Service health dashboards for full transparency. We provide you with access to Spark health dashboards, so that you can verify the health and uptime of your service directly.

Managed Spark pricing

A low total cost of ownership. Up to five times lower than cloud services when fully costed.


Managed Spark on VMs

Annual price $3099

per VM*

The low cost solution for maximum scalability.


  • Highly automated service delivery for security and efficiency
  • Real operations staff proactively monitoring and on call 24/7
  • Includes upgrades and security patches

* Management fee does not include the cloud.


Managed Spark on K8s

Annual price $9470

per node*

Secure, managed service delivered to your on-premise data centre by our Spark operations team.


  • Deliver a web scale Spark data platform on-premise with our managed services team
  • Combine managed OpenStack with Managed Spark for maximum efficiency gains
  • Strong SLA and compliance commitments ensure your data is not left compromised

* All nodes in the cluster must be covered. Per-VM pricing is also available.



Managed Spark resources

Secure Apache Spark Big Data Operations

Watch our webinar and get tips on how to identify and prioritize security requirements and learn pragmatic steps that you can take to secure your Spark applications – wherever they may be running.


Build an online datahub with Spark

Read our white paper to discover the value, use cases, and challenges of building an enterprise data hub – whether on the public cloud or on-premise – based on Apache Spark.


Make better decisions with open source Big Data and AI solutions

Learn how to build a smarter enterprise with a secure, integrated open source stack for Big Data and AI.


What is Spark?

Learn about Charmed Apache Spark on Kubernetes.


Apache®, Apache Spark, Spark®, and the Spark logo are either registered trademarks or trademarks of the Apache Software Foundation in the United States and/or other countries.