Sold by: cloudimg
Deployed on AWS
Free Trial
AWS Free Tier
This product has charges associated with it for seller support. Apache Spark, the open source unified analytics engine for large scale data processing, preinstalled as a single node standalone cluster with Java 17 and Python 3 for PySpark. The master and worker run under systemd and the master web UI is ready on launch. Backed by 24/7 cloudimg support.
Overview
Image
Spark master web UI
Image
Spark worker detail
Image
Completed Spark application
This is a repackaged open source software product wherein additional charges apply for cloudimg support services.
Overview Apache Spark is the open source unified analytics engine for large scale data processing. It runs batch pipelines, interactive queries, streaming workloads and machine learning at scale across a cluster of executors. This image delivers Spark fully installed and configured as a single node standalone cluster, so a working analytics engine is running within minutes of launch. The current release available is Spark 4.
Application Stack Apache Spark with the standalone cluster manager. A Spark master and a Spark worker, each running as a systemd service under a dedicated unprivileged spark user. Java 17 provides the JVM runtime for every Spark process. Python 3 is installed for PySpark. The Scala based spark shell, spark submit, spark sql and pyspark command line tools are all ready to use.
Ready To Use The Spark distribution, configuration, systemd units and standalone cluster are all in place. The master web UI is served on port 8080 and shows the cluster, its workers and every running and completed application. Submit your first job with spark submit or start an interactive PySpark session straight away.
Headless First Boot Apache Spark standalone has no built in authentication and ships no shared or default credentials. On first boot a one shot service writes a short non secret information file describing the cluster and then marks itself complete. There are no passwords baked into the image.
Dedicated Data Volume A separate, independently resizable data volume holds the Spark worker work directory, the SQL warehouse and the daemon logs, keeping cluster data off the operating system disk.
cloudimg Support 24/7 technical support by email and chat. Help with Spark deployment, cluster configuration, job tuning, enabling authentication and performance optimisation.
Use Cases Large scale batch data processing and ETL. Interactive analytics and ad hoc SQL over large datasets. Data engineering pipelines. Machine learning feature engineering. Proof of concept and development clusters.
All product and company names are trademarks or registered trademarks of their respective holders. Use of them does not imply any affiliation with or endorsement by them.
Highlights
- Apache Spark preinstalled as a single node standalone cluster, with the master and worker supervised by systemd and the master web UI ready on launch
- Java 17 and Python 3 bundled so spark submit, spark sql, the spark shell and PySpark all work with no version reconciliation
- 24/7 technical support from cloudimg, with expert assistance for Spark deployment, cluster configuration, job tuning and performance optimisation
Details
Sold by
Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 24.04
Deployed on AWS
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Free trial
Try this product free for 7 days according to the free trial terms set by the vendor. Usage-based pricing is in effect for usage beyond the free trial terms. Your free trial gets automatically converted to a paid subscription when the trial ends, but may be canceled any time before that.
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. Alternatively, you can pay upfront for a contract, which typically covers your anticipated usage for the contract duration. Any usage beyond contract will incur additional usage-based costs.
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 | Description | Cost/hour |
|---|---|---|
m5.xlarge Recommended | m5.xlarge | $0.12 |
t2.micro | t2.micro instance type | $0.04 |
t3.micro | t3.micro instance type | $0.04 |
m8azn.metal-24xl | m8azn.metal-24xl instance type | $0.24 |
g4dn.4xlarge | g4dn.4xlarge instance type | $0.24 |
c8i-flex.12xlarge | c8i-flex.12xlarge instance type | $0.24 |
c7i-flex.xlarge | c7i-flex.xlarge instance type | $0.12 |
m8a.16xlarge | m8a.16xlarge instance type | $0.24 |
c5d.12xlarge | c5d.12xlarge instance type | $0.24 |
t3a.nano | t3a.nano instance type | $0.00 |
Vendor refund policy
Refunds available on request.
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
Initial release of Apache Spark 4 as a single node standalone cluster.
Additional details
Usage instructions
Connect via SSH on port 22 as the default login user for your operating system variant (the user guide lists it per variant). The Spark master and worker start automatically under systemd. Browse to http://<instance-public-ip>:8080/ to open the Spark master web UI. To run a job, SSH in, switch to the spark user with 'sudo -iu spark', source the environment with 'source ~/setEnv.sh', then use spark-submit or pyspark. The standalone cluster ships with Spark authentication disabled; the user guide explains how to enable a shared secret before exposing the RPC port beyond the instance.
Resources
Vendor resources
Support
Vendor support
cloudimg provides 24/7 technical support for this product by email and live chat. Our engineers help with deployment, configuration, updates, performance tuning and troubleshooting; critical issues receive a one hour average response. Contact support@cloudimg.co.uk .
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.
Similar products
This product has charges associated with it for seller support. Oracle Linux 9.4 (OL9.4) with 24/7 cloudimg support. RHEL 9 compatible, AWS optimized with CLI v2, CloudWatch, SSM pre installed. Choice of RHCK or UEK kernel. Production ready.
This product has charges associated with it for seller support. Oracle Linux 9.7 (OL9.7) with 24/7 cloudimg support. RHEL 9 compatible, AWS optimized with CLI v2, CloudWatch, SSM pre installed. Choice of RHCK or UEK kernel. Production ready.
This product has charges associated with it for seller support. Oracle Linux 8.10 (OL8.10) with 24/7 cloudimg support. RHEL compatible, AWS optimized with CLI v2, CloudWatch, SSM pre installed. Choice of RHCK or UEK kernel. Production ready.
This product has charges associated with it for seller support. Oracle Linux 9.3 (OL9.3) with 24/7 cloudimg support. RHEL 9 compatible, AWS optimized with CLI v2, CloudWatch, SSM pre installed. Choice of RHCK or UEK kernel. Production ready.
Customer reviews
No customer reviews yet
Be the first to review this product . We've partnered with PeerSpot to gather customer feedback. You can share your experience by writing or recording a review, or scheduling a call with a PeerSpot analyst.