Sold by: kCloudHubs LLC
Deployed on AWS
AWS Free Tier
This product has charges associated with it for support and maintenance. Vaex is a high-performance Python library for working with very large datasets efficiently.
Overview
Vaex on Ubuntu 26.04 with Free Performance Optimization Support by kCloudHubs
kCloud provides Vaex on Ubuntu 26.04 for high-performance big data processing, enabling efficient analysis of large datasets (terabytes scale), memory-optimized computations, and production-grade data science workflows.
Tech Use Cases
- Processing large-scale datasets without memory overload
- Data exploration and statistical analysis on big data
- Machine learning feature engineering and preprocessing
- High-speed data visualization and analytics workflows
Available for Data Engineering & AI Workloads
Vaex on Ubuntu 26.04 (kCloud) is a high-performance DataFrame library designed for scalable data processing. It allows users to analyze massive datasets efficiently using lazy evaluation and out-of-core computation techniques.
Key Features
- Handles billions of rows efficiently
- Lazy evaluation for fast computation without full memory loading
- Out-of-core processing for large datasets
- High-speed aggregations and statistical operations
- Built-in visualization support for data exploration
- Compatible with Python data science ecosystem
Deployment Setup
- Ready-to-use Python environment on Ubuntu 26.04
- Virtual environment or Docker-based installation support
- Preconfigured for data science and ML workflows
Help Options
Optional kCloud assistance available for installation, performance tuning, dataset optimization, and production-scale Vaex deployment.
Highlights
- Much faster than Pandas for large datasets
- Works with out-of-core processing
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 |
t2.micro | $0.01 |
t3.micro | $0.06 |
t2.large | $0.06 |
t3.large | $0.06 |
r3.large | $0.06 |
r4.large | $0.06 |
t3.nano | $0.06 |
t3.medium | $0.06 |
t2.2xlarge | $0.06 |
Vendor refund policy
No Refund
Legal
Vendor terms and conditions
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Content disclaimer
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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 start -ai vaex-container #python -c "import vaex; print(vaex.version)"
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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