Sold by: EASYCLOUD
Deployed on AWS
AWS Free Tier
This product has charges associated with it for technical support with a 24-hour response time. This AMI contains DuckDB and a Python Data Science stack on Ubuntu 24.04 LTS repackaged by Easycloud, fully configured for production environments. The system is built on a minimal installation of Ubuntu, updated to the latest version, and includes continuous updates and support to ensure a secure foundation.
Overview
This is a repackaged open source software product wherein additional charges apply for technical support with a 24-hour response time. This AMI contains DuckDB 1.4.4, Pandas, and NumPy on Ubuntu 24.04 repackaged by Easycloud, fully configured for high-performance data analytics and processing. The system is built on a minimal installation of Ubuntu, updated to the latest version, and includes continuous updates and support to ensure a secure and stable foundation.
DuckDB is a fast, in-process analytical database designed to support online analytical processing (OLAP) workloads. Combined with Pandas and NumPy, this environment provides a complete, out-of-the-box solution for data scientists and engineers.
We uphold the core value of "Redefining open source value through performance and simplicity."
Guided by this commitment, this AMI is professionally repackaged by experienced engineers with a strict focus on Development Speed and Operational Efficiency.
Why choose this AMI?
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Enterprise-Grade Virtual Environment: Python and data science libraries are installed in a dedicated, globally accessible virtual environment (/opt/duckdb-env), ensuring zero conflict with the core Ubuntu system Python.
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Seamless Integration: Global path variables are pre-configured (/etc/profile.d/duckdb_env.sh), allowing all users to access the data science stack immediately upon login without manual environment activation.
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Out-of-the-box Analytics: Pre-installed with DuckDB, Pandas, and NumPy, bypassing complex setup procedures and allowing you to query and analyze data instantly.
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Secure Foundation: Built on a hardened Ubuntu base with the latest security patches applied for enterprise-grade reliability.
Highlights
- Ready to Analyze: DuckDB 1.4, Pandas, and NumPy are pre-installed and globally configured.
- Optimized Performance: Carefully tuned and stripped of unnecessary bloat to ensure maximum compute resources are dedicated to your applications.
- Expert Support: Backed by comprehensive documentation and fast, professional technical assistance.
Details
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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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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 |
|---|---|
t3.medium Recommended | $0.04 |
t2.micro | $0.04 |
t3.micro | $0.04 |
r6i.metal | $0.68 |
g7e.24xlarge | $0.68 |
u7i-12tb.224xlarge | $0.68 |
vt1.6xlarge | $0.28 |
g7e.4xlarge | $0.28 |
p6-b200.48xlarge | $0.68 |
g4dn.2xlarge | $0.18 |
Vendor refund policy
No refunds. Cancel anytime.
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) .
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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
Update to the latest version
Additional details
Usage instructions
Connection Methods
To access your instance, SSH into the public IP address as 'ubuntu' using your specified launch key pair. You can switch to the root user environment by running sudo su -. Please see the links below for additional information:
Install Information
Operating System: Ubuntu 24.04 LTS
DuckDB Version: 1.4.4
Python Version: 3.12
Virtual Environment Location: /opt/duckdb-env
Activation Command: source /opt/duckdb-env/bin/activate
Environment Configuration: /etc/profile.d/duckdb_env.sh
Python Binary Path: /opt/duckdb-env/bin/python
pip Binary Path: /opt/duckdb-env/bin/pip
Quick Verification Commands
Check Python path by running: which python
Check DuckDB version by running: pip show duckdb | grep Version
Check Pandas version by running: pip show pandas | grep Version
Check NumPy version by running: pip show numpy | grep Version
Firewall Configuration
SSH (Port 22): Required for initial system access.Security Recommendation: Strictly limit SSH access to trusted IP addresses only via AWS Security Groups.
Documentation
For a detailed installation and management guide, please visit: https://www.easyclouds.io/docs/duckdb-guide
Resources
Vendor resources
Support
Vendor support
Should you encounter any issues while using the system, please do not hesitate to contact us via email at: support@easyclouds.io . Thank you!
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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