Altova MapForce vs Dremio 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

Dremio

0.0 (0 reviews)

Dremio is a unified data lakehouse platform that enables you to run high-performance SQL analytics directly on your cloud data lake storage without moving or copying your data.

Starting at Free
Free Trial 0 days

Quick Comparison

Feature Altova MapForce Dremio
Website altova.com dremio.com
Pricing Model One_time Freemium
Starting Price $??/month Free
FREE Trial ✓ 30 days free trial ✓ 0 days free trial
Free Plan ✘ No free plan ✓ Has free plan
Product Demo ✓ Request demo here ✓ Request demo here
Deployment desktop on-premise cloud on-premise
Integrations Microsoft SQL Server Oracle Database PostgreSQL MySQL IBM DB2 Microsoft Excel Active Directory Visual Studio Eclipse Tableau Power BI Amazon S3 Azure Data Lake Storage Apache Iceberg Apache Hive Snowflake Oracle PostgreSQL Microsoft Teams
Target Users small-business mid-market enterprise mid-market enterprise
Target Industries finance healthcare logistics
Customer Count 0 0
Founded Year 1992 2015
Headquarters Beverly, USA Santa Clara, 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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Dremio

Dremio provides a unified data lakehouse that lets you query your data directly where it lives. Instead of waiting for complex ETL processes to move data into expensive warehouses, you can connect your preferred BI tools like Tableau or Power BI straight to your Amazon S3, Azure Data Lake, or Apache Iceberg tables. This approach reduces data sprawl and gives you immediate access to your information.

You can manage your data with Git-like version control, allowing you to branch, merge, and tag data sets just like code. This makes it easier to experiment with data transformations without affecting your production environment. Whether you are a data engineer or an analyst, the platform simplifies your architecture by providing a single, high-performance layer for all your analytical needs.

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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Dremio Features

  • Reflections. Accelerate your queries automatically using physical data optimizations that make your BI dashboards feel instant and responsive.
  • Data Catalog. Search and discover your data assets easily with a built-in catalog that organizes your tables, views, and metadata.
  • SQL Runner. Run complex SQL queries directly against your data lake storage using a familiar, powerful interface designed for analysts.
  • Data Lineage. Track how your data flows from source to visualization so you can maintain trust and compliance across your organization.
  • Git-for-Data. Manage your data versions with branches and tags to safely test changes before merging them into your production sets.
  • Semantic Layer. Create a consistent view of your data for all users, ensuring everyone uses the same definitions for key business metrics.

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
D

Dremio Pricing

Dremio Discovery
$0
  • Unlimited users
  • Standard SQL engine
  • Community support
  • Basic data catalog
  • Connect to S3 and ADLS

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

Dremio

Pros

  • Significantly reduces the need for complex ETL pipelines
  • Provides fast query performance on large datasets
  • Intuitive interface for both engineers and analysts
  • Easy integration with popular BI tools like Power BI

Cons

  • Initial configuration can be complex for beginners
  • Requires significant memory resources for peak performance
  • Documentation can be sparse for niche data sources
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