Bring your data directly into AMPL—without extra steps or manual formatting. Whether you’re working with spreadsheets, databases, or Python-based data sources like Pandas and NumPy, AMPL seamlessly integrates with your workflow. Eliminate data bottlenecks, keep your models up to date, and focus on optimizing real-world decisions with accurate, connected data.
Set up AMPL Data Integrations in minutes and seamlessly import your financial, supply chain, or energy data from Excel, CSV, SQL, or Python. Automatically sync data with AMPL on an ongoing basis—no complex scripting required.
Create a unified data pipeline to power your optimization models with the most up-to-date insights. Fine-tune supply chain logistics, optimize portfolios, or enhance energy grid efficiency—all with seamless data connectivity.
Connect your data directly to AMPL without relying on third-party ETL tools. Load data from Python (Pandas, NumPy), SQL databases, and spreadsheets while keeping full control over security, compliance, and performance.
AMPL ensures your data is always complete and reliable, even for large-scale optimization problems. Forget about manual imports—automate data updates and eliminate errors with an integration pipeline designed for performance at scale.
For users working with spreadsheets & static files, import data using AMPL’s built-in table functionality.
Connect Excel to AMPL for seamless spreadsheet-based data import and optimization modeling.
Incorporate CSV files into AMPL for lightweight, structured data transfer and optimization workflows.
For users with large datasets & dynamic data sources, AMPL connects to databases via SQL queries.
Incorporate MySQL with AMPL for fast, reliable relational data storage and optimization.
Connect Microsoft SQL Server to AMPL for scalable, secure enterprise data-driven optimization.
Integrate PostgreSQL with AMPL for advanced analytics, complex queries, and high-performance optimization.
For Python users working with data science, ML, or automation, use AMPL’s Python API to send data from Pandas & NumPy.
Integrate Pandas with AMPL to effortlessly manipulate and analyze your optimization data, ensuring insightful and data-driven decision-making processes.
Incorporate NumPy with AMPL for efficient numerical computations, optimizing your mathematical modeling and solution analysis workflows.
Incorporate NumPy with AMPL for efficient numerical computations, optimizing your mathematical modeling and solution analysis workflows.
Create an account, download a free license, and start integrating your data today. Or contact us to learn more about key integrations for your workflow.
See AMPL, integrations, and enhanced workflows in action.