Sold by: kCloudHubs LLC
Deployed on AWS
AWS Free Tier
This product has charges associated with it for support and maintenance. PySpark is the Python API for Apache Spark, used to process large-scale data across clusters in a fast and distributed way.
Overview
PySpark on Ubuntu 26.04 with Free Maintenance Support by kCloudHubs
kCloud provides PySpark on Ubuntu 26.04 based environments with free maintenance support, helping users run big data processing workloads smoothly with high performance, scalability, and production-ready distributed computing support.
Tech Use Cases
- Big data processing and analytics
- ETL (Extract, Transform, Load) pipelines
- Machine learning at scale using Spark MLlib
- Real-time data streaming and processing
Available Now on AWS Marketplace
PySpark on Ubuntu 26.04 with Maintenance Support (kCloud) is a preconfigured big data environment for scalable data processing, analytics workflows, and enterprise-level distributed computing.
Key Features
- Stable Ubuntu 26.04 LTS environment
- Preinstalled Apache Spark and PySpark support
- Optimized for distributed data processing workloads
- Security and performance updates included
- Compatible with Hadoop ecosystem tools
- Production-ready big data configuration
AWS Marketplace Setup
- Ready-to-use EC2 environment
- Preconfigured Spark cluster-ready setup
- Billing handled through AWS
Help Options
Optional kCloud assistance available for PySpark setup, cluster configuration, and big data pipeline optimization.
Highlights
- Work with big data using Python
- Run SQL queries on huge datasets
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 26.04
Deployed on AWS
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Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
If you are an AWS Free Tier customer with a free plan, you are eligible to subscribe to this offer. You can use free credits to cover the cost of eligible AWS infrastructure. See AWS Free Tier for more details. If you created an AWS account before July 15th, 2025, and qualify for the Legacy AWS Free Tier, Amazon EC2 charges for Micro instances are free for up to 750 hours per month. See Legacy AWS Free Tier for more details.
Dimension | Cost/hour |
|---|---|
m4.large Recommended | $0.06 |
t3.micro | $0.06 |
t2.micro | $0.01 |
t2.large | $0.06 |
r4.large | $0.06 |
r3.large | $0.06 |
t3.large | $0.06 |
t3.nano | $0.06 |
t2.2xlarge | $0.06 |
t2.medium | $0.06 |
Vendor refund policy
No Refund
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Packaged with latest updates as of May/2026
Additional details
Usage instructions
Connect your instance via SSH, the username is ubuntu. More info on SSH: https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/AccessingInstancesLinux.html - Run the following commands: #sudo su #docker restart pyspark #docker start pyspark
Support
Vendor support
Feel free to reach out anytime. Our support team is available 24x7 for assistance. Email: meha@kcloudhubs.com
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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