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.
Hevo Data
Hevo Data is a bidirectional data pipeline platform that helps you automate data movement from over 150 sources into warehouses like Snowflake, BigQuery, and Redshift for real-time analytics.
Quick Comparison
| Feature | Altova MapForce | Hevo Data |
|---|---|---|
| Website | altova.com | hevo.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 | 2017 |
| Headquarters | Beverly, USA | San Francisco, USA |
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.
Hevo Data
Hevo Data simplifies how you move and manage data across your entire stack. Instead of spending weeks writing custom scripts, you can set up automated pipelines in minutes to sync data from apps, databases, and SDKs into your preferred cloud warehouse. It handles the heavy lifting of schema mapping and data transformation so your information arrives ready for analysis without manual intervention.
You can monitor your data flow in real-time and catch issues before they impact your dashboards. Whether you are a growing startup or a large enterprise, the platform scales with your data volume while maintaining low latency. It eliminates data silos by providing a single, reliable source of truth for your marketing, sales, and product teams to make faster decisions.
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.
Hevo Data Features
- Automated Schema Mapping. Save hours of manual work as the platform automatically detects and maps incoming data schemas to your destination warehouse.
- Real-time Data Streaming. Move your data instantly with low-latency pipelines that ensure your analytics dashboards always reflect the most current information.
- No-code Transformations. Clean and enrich your data on the fly using Python-based scripts or drag-and-drop models before it reaches its destination.
- Change Data Capture. Track database changes efficiently using log-based CDC to sync only modified records and reduce load on your source systems.
- Bidirectional Sync. Sync data back from your warehouse into operational tools like Salesforce or HubSpot to empower your front-line teams.
- Pre-load Data Validation. Identify and fix data errors before they load into your warehouse with built-in monitoring and automated alerting systems.
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
Hevo Data Pricing
- Up to 1 million events
- 50+ free connectors
- Unlimited single-region destinations
- Email support
- Automated schema mapping
- Everything in Free, plus:
- 150+ connectors
- 24/7 Live chat support
- On-demand sync
- Data transformation support
- Single Sign-On (SSO)
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
Hevo Data
Pros
- Extremely fast setup for standard SaaS connectors
- Reliable real-time data syncing with minimal latency
- Responsive customer support team for technical troubleshooting
- Intuitive interface requires very little technical training
- Generous free tier for small-scale data projects
Cons
- Pricing can scale quickly with high event volumes
- Python transformation scripts require some coding knowledge
- Limited documentation for some niche API connectors