Altova MapForce
Altova MapForce is a graphical data mapping tool for transforming and integrating XML, JSON, database, and EDI data through a drag-and-drop interface that generates execution code automatically.
Matillion
Matillion is a unified data integration platform that helps you transform raw data into business-ready insights through high-performance pipelines and integrated artificial intelligence for modern cloud environments.
Quick Comparison
| Feature | Altova MapForce | Matillion |
|---|---|---|
| Website | altova.com | matillion.com |
| Pricing Model | One_time | Freemium |
| Starting Price | $??/month | Free |
| FREE Trial | ✓ 30 days free trial | ✓ 14 days free trial |
| Free Plan | ✘ No free plan | ✓ Has free plan |
| Product Demo | ✓ Request demo here | ✓ Request demo here |
| Deployment | ||
| Integrations | ||
| Target Users | ||
| Target Industries | ||
| Customer Count | 0 | 0 |
| Founded Year | 1992 | 2011 |
| Headquarters | Beverly, USA | Manchester, UK |
Overview
Altova MapForce
Altova MapForce is a visual data mapping and integration tool that simplifies how you transform complex data structures. Instead of writing manual transformation code, you use a graphical interface to map data between XML, JSON, databases, EDI, Excel, and Web services. You can simply drag lines between source and target structures to define your data movements and apply built-in functions for data processing.
The software helps you automate recurring integration tasks by generating royalty-free code in Java, C#, or C++, or by deploying mappings to MapForce Server. It is ideal for data architects and developers in finance, logistics, and healthcare who need to manage high-volume data conversions without the overhead of manual coding. You can choose between Professional and Enterprise editions depending on your need for EDI or Web services support.
Matillion
Matillion provides a unified platform to help you move, transform, and orchestrate data across your entire cloud ecosystem. Instead of manual coding, you can build sophisticated data pipelines using a visual, low-code interface that pushes processing power directly to your cloud data warehouse. This approach allows you to handle massive datasets with high efficiency while maintaining full control over your data transformations.
You can automate complex workflows and integrate generative AI directly into your data pipelines to summarize text or extract entities. Whether you are a data engineer or a business analyst, the platform scales to meet your needs by supporting major cloud providers like Snowflake, Databricks, and Amazon Redshift. It helps you reduce the time spent on manual data preparation so you can focus on delivering actionable insights to your organization.
Overview
Altova MapForce Features
- Drag-and-Drop Mapping Connect source and target data structures visually by dragging lines between fields to define your transformation rules.
- Multi-Format Support Map data across XML, JSON, relational databases, Excel, and flat files within a single unified mapping project.
- Extensive Function Library Apply built-in mathematical, string, and logical functions to your data during the mapping process to ensure accuracy.
- Automatic Code Generation Generate royalty-free C#, C++, or Java code from your visual mappings to integrate into your own applications.
- EDI Integration Map and transform electronic data interchange formats like X12, EDIFACT, and HL7 for seamless supply chain communication.
- Interactive Data Preview View the results of your data mapping instantly with a built-in execution engine before deploying to production.
Matillion Features
- Visual Pipeline Designer. Build complex data workflows using a drag-and-drop interface that eliminates the need for extensive manual SQL coding.
- AI Data Productivity. Integrate large language models into your pipelines to automate data labeling, sentiment analysis, and text summarization tasks.
- Push-Down Optimization. Execute transformations directly within your cloud data warehouse to maximize performance and reduce unnecessary data movement.
- Universal Connectivity. Connect to hundreds of data sources including SaaS applications, NoSQL databases, and ERP systems with pre-built connectors.
- Change Data Capture. Sync your databases in real-time by capturing incremental changes, ensuring your cloud warehouse always reflects the latest information.
- Hybrid Deployment. Keep your sensitive data within your own virtual private cloud while managing everything through a centralized SaaS control plane.
Pricing Comparison
Altova MapForce Pricing
- XML to XML mapping
- Database to XML mapping
- JSON and Excel support
- Built-in data processing functions
- Java, C#, and C++ code generation
- Visual data mapping debugger
- Everything in Professional, plus:
- EDI data mapping (X12, EDIFACT)
- Web services integration (SOAP/REST)
- XBRL data mapping
- NoSQL database support
- Advanced data streaming for large files
Matillion Pricing
- Up to 500 rows per month
- Unlimited users
- Batch data ingestion
- Basic data transformation
- Community support access
- Everything in Free, plus:
- Pay-as-you-go credit system
- Unlimited data rows
- Change Data Capture (CDC)
- Standard support
- Git integration
Pros & Cons
Altova MapForce
Pros
- Handles extremely complex XML and EDI structures easily
- Generates clean and efficient royalty-free source code
- Visual debugger makes finding mapping errors very simple
- Supports a massive range of legacy and modern formats
- Stable performance even with very large data sets
Cons
- Interface feels dated compared to modern web apps
- Steep learning curve for non-technical business users
- Licensing costs can be high for small teams
- Requires separate server purchase for automated execution
Matillion
Pros
- Intuitive visual interface simplifies complex ETL tasks
- Fast processing speeds via push-down architecture
- Extensive library of pre-built source connectors
- Excellent integration with Snowflake and Databricks
- Responsive customer support and active community
Cons
- Credit-based pricing can be difficult to predict
- Occasional bugs in newer connector versions
- Steep learning curve for advanced orchestration
- Documentation can be inconsistent for niche features