Sold by: bCloud LLC
Deployed on AWS
AWS Free Tier
This product has charges associated with it for seller support. Weka (Waikato Environment for Knowledge Analysis) is an open source machine learning workbench that provides a wide collection of algorithms and tools for data preprocessing, classification, regression, clustering, association rule mining, and visualization.It is designed for both beginners and advanced users, supporting a graphical interface and command line execution.
Overview
Weka 3.9.6 on Ubuntu 24.04 with Free Maintenance Support by bCloud.
Weka Solutions on AWS Marketplace
AWS Marketplace offers Weka solutions for fast and reliable deployment on Ubuntu 24.04 LTS, optimized for AWS cloud environments. This solution is intended for machine learning experimentation, data mining, and analytical workloads in cloud and hybrid setups.
Weka is an open source machine learning software suite that provides a collection of algorithms for data preprocessing, classification, regression, clustering, association rules, and visualization. It is commonly used in education, research, and prototyping environments.
These solutions are optimized to run on AWS infrastructure and can be deployed using Amazon Machine Images (AMIs), enabling consistent environments and faster setup.
Weka Offering Available on AWS Marketplace
1. Weka 3.9.6 on Ubuntu 24.04 LTS with Free Maintenance Support
This offering provides Weka 3.9.6 preinstalled on Ubuntu 24.04 LTS as a repackaged open source software product. Free maintenance support is included to assist with basic operational guidance and updates.
Main Points
- Preinstalled Weka 3.9.6 on Ubuntu 24.04 LTS
- Supports data preprocessing, modeling, evaluation, and visualization
- Designed for single node and small scale analytical workloads
- Free maintenance support included
- Optimized for deployment on AWS EC2
Core Technical Benefits of Weka
Comprehensive Machine Learning Toolkit
Weka provides a broad set of machine learning algorithms and utilities that allow users to experiment with datasets and models without complex configuration.
Flexible Usage Modes
Weka supports graphical and command line execution, allowing both interactive use and scripted workflows depending on user requirements.
Open Source and Extensible
Weka is distributed as open source software, allowing users to extend functionality, integrate custom processes, and adapt workflows to specific analytical needs.
AWS Marketplace Optimized Advantages
AMI Based Deployment
Weka is delivered as an Amazon Machine Image (AMI), allowing users to launch a preconfigured environment with repeatable and consistent settings.
AWS EC2 Ready
Weka runs on Amazon EC2 and is suitable for:
- Machine learning experimentation
- Academic and research projects
- Data analysis and prototyping
AWS Service Compatibility
The solution is compatible with AWS services such as Amazon EC2, Amazon EBS, and Amazon S3 for compute and data storage.
Consolidated AWS Billing
All infrastructure usage is billed through AWS, simplifying cost management and procurement.
Support and Maintenance
This is a repackaged open source software product. Weka is not affiliated with or endorsed by its original developers. Free maintenance support is provided by the seller. Additional paid support options may be available separately.
Use Cases
Weka 3.9.6 on Ubuntu 24.04 LTS is suitable for:
- Machine learning education and training
- Data mining and analytics
- Research and academic workloads
- Model prototyping and evaluation
- Lightweight analytical workloads on AWS
Technical Highlights
- Weka 3.9.6
- Ubuntu 24.04 LTS
- Open source ML toolkit
- GUI and CLI execution support
- EC2 AMI based deployment
- EBS compatible storage
- Optimized for AWS Cloud Marketplace
Highlights
- Data Preprocessing Tools
- Visualization Capabilities
- Batch Processing Support
Details
Sold by
Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 24.04
Deployed on AWS
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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
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 | $0.007 |
t2.micro | $0.001 |
t3.micro | $0.007 |
t3.small | $0.007 |
c4.large | $0.007 |
c5.large | $0.007 |
m3.medium | $0.007 |
c3.large | $0.007 |
m3.large | $0.007 |
t2.xlarge | $0.007 |
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 Jan/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 #sudo apt update #cd /opt #cd /opt/weka #weka396 --version | head -n 1
Support
Vendor support
Feel free to reach out anytime. Our support team is available 24x7 for assistance. Phone: +1 (408) 646-8523 Email: cloud@bcloud.ai Website:
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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