Altova MapForce vs Hevo Data Comparison: Reviews, Features, Pricing & Alternatives in 2026

Detailed side-by-side comparison to help you choose the right solution for your team

Updated Apr 2026 8 min read

Altova MapForce

0.0 (0 reviews)

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.

Starting at $??/mo
Free Trial 30 days
VS

Hevo Data

0.0 (0 reviews)

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.

Starting at Free
Free Trial 14 days

Quick Comparison

Feature Altova MapForce Hevo Data
Website altova.com hevodata.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 desktop on-premise cloud
Integrations Microsoft SQL Server Oracle Database PostgreSQL MySQL IBM DB2 Microsoft Excel Active Directory Visual Studio Eclipse Snowflake BigQuery Redshift Salesforce PostgreSQL MySQL HubSpot MongoDB Google Ads Shopify
Target Users small-business mid-market enterprise small-business mid-market enterprise
Target Industries finance healthcare logistics
Customer Count 0 0
Founded Year 1992 2017
Headquarters Beverly, USA San Francisco, USA

Overview

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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.

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Hevo Data

Hevo Data simplifies how you move and manage data across your entire stack. Instead of writing complex code or maintaining brittle scripts, you get a zero-maintenance pipeline that automates data collection from SaaS apps, databases, and streaming services. You can clean and transform your data on the fly before it hits your warehouse, ensuring your analytics are always accurate and up to date.

The platform handles everything from schema mapping to failure recovery automatically, so you don't have to worry about data loss or downtime. Whether you are a data engineer at a fast-growing startup or an analyst at a mid-market firm, you can set up a fully functional pipeline in minutes. It supports over 150 integrations and offers a free tier to help you get started without any upfront investment.

Overview

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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.
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Hevo Data Features

  • Automated Schema Management. Detect source schema changes automatically and map them to your destination without manual intervention or pipeline breaks.
  • Real-time Data Streaming. Move your data in real-time using log-based change data capture to ensure your dashboards always reflect the latest information.
  • Python-based Transformations. Write custom Python scripts to clean, enrich, and format your data exactly how you need it before loading.
  • Reverse ETL. Sync processed data from your warehouse back into your favorite business tools like Salesforce, HubSpot, and Intercom.
  • Pre-load Transformations. Fix data issues at the source level with drag-and-drop tools to ensure high-quality data enters your warehouse.
  • Auto-recovery Mechanism. Rest easy knowing your pipelines automatically retry failed tasks and alert you to any issues that require attention.

Pricing Comparison

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Altova MapForce Pricing

Professional Edition
$??
  • 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
H

Hevo Data Pricing

Free
$0
  • Up to 1 million events/month
  • 50+ free connectors
  • Unlimited single-user access
  • Email support
  • Fully managed pipelines

Pros & Cons

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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
A

Hevo Data

Pros

  • Extremely fast setup process for most sources
  • Excellent 24/7 customer support responsiveness
  • Intuitive interface requires very little technical training
  • Reliable handling of schema changes and updates

Cons

  • Pricing can scale quickly with high volumes
  • Some complex transformations require Python knowledge
  • Limited documentation for very niche connectors
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