Sold by: Pacific Data Integrators
Deployed on AWS
Short Description : Our Data Validation Framework ensures seamless validation between databases, Files, guaranteeing data consistency, accuracy, and integrity. Ideal for database migrations, synchronization, and quality assurance, it quickly identifies and highlights discrepancies, making it an essential tool for maintaining high data standards.
Overview
Long Description : The Data Validation Tool is a powerful solution designed to ensure the integrity and accuracy of your data across databases, files. Whether you're performing database migrations, synchronizations, or regular quality checks, this tool provides comprehensive validation capabilities to compare and contrast data from two distinct sources. Its user-friendly interface and robust functionality make it easy to identify discrepancies, ensuring your data remains consistent and reliable. Key features include automated data comparison, detailed discrepancy reports, and support for various database types, ensuring compatibility with your existing systems. The tool can handle large datasets efficiently, providing swift and accurate results without compromising performance. With customizable validation rules, you can tailor the tool to meet specific needs, making it versatile for various applications, from small-scale projects to enterprise-level deployments. The benefits of using the Data Validation Tool extend beyond just data accuracy. By automating the validation process, it significantly reduces the time and effort required for manual checks, freeing up valuable resources for other critical tasks. This not only improves operational efficiency but also enhances decision-making by providing trustworthy data. Investing in the Data Validation Tool means investing in the reliability and integrity of your data, ultimately supporting the success and growth of your business.
Highlights
- Effortlessly compare and validate data between two databases with precision, ensuring consistent and reliable data integrity across your systems.
- Receive comprehensive and easy-to-understand reports highlighting any discrepancies found during the validation process.
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
This product is available free of charge. Free 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.
Vendor refund policy
Thank you for your interest in the Data Validation Framework. This product is provided to users free of charge, and as such, there are no fees associated with its download. Consequently, a refund policy is not applicable to this product.
Legal
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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
DVF v9 - Security Patch Release Security Fixes CVE-2025-6965 (Critical, CVSS 9.8): SQLite Buffer Overflow Upgraded SQLite from 3.45.1 to 3.50.2 SQLite versions before 3.50.2 are vulnerable to memory corruption when aggregate terms in a SQL query exceed available columns, which can lead to denial of service or data corruption Fix applied to system libsqlite3, sqlite3 CLI, and Python sqlite3 module Changes Packer build now runs apt-get upgrade on the base image to pull in all current Ubuntu security patches SQLite 3.50.2 compiled from upstream source during AMI build Verification All three SQLite surfaces confirmed at 3.50.2 on the built AMI:
sqlite3 --version reports 3.50.2 Python sqlite3.sqlite_version reports 3.50.2 Runtime libsqlite3.so.0 reports 3.50.2 Platform Base: Ubuntu 24.04.4 LTS Python: 3.12.3 Node.js: 22.22.2 AMI ID: ami-0cc51471c5731ecc2 (us-east-1)
Additional details
Usage instructions
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Prerequisites Ensure you have access to the databases you intend to validate. Supported database types include MySQL, PostgreSQL, Oracle, SQL Server, and more. Have your database credentials ready for configuration.
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Configuration Launch the server within our private network where the database you want to use is accessible.
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Accessing the Software Launch the product via 1-Click. Use a web browser to access the application at http://<Public IPv4 address>:8081. Sign in using the following credentials: Username: admin Password: admin
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SSH to box : ssh -i *.pem ubuntu@<Public IPv4 address>
Support
Vendor support
When you purchase the Data Validation Tool, you can expect comprehensive support to ensure a smooth and successful experience. Our dedicated support team is available to assist you with any issues or questions you may encounter. For further information regarding this process, please direct your inquiries to marketing@pacificdataintegrators.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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