Altova MapForce vs Rivery 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

Rivery

0.0 (0 reviews)

Rivery is a complete SaaS data operations platform that streamlines the entire data lifecycle by combining ingestion, transformation, and orchestration into a single unified cloud-native solution for modern teams.

Starting at $0.75/mo
Free Trial 14 days

Quick Comparison

Feature Altova MapForce Rivery
Website altova.com rivery.io
Pricing Model One_time Subscription
Starting Price $??/month $0.75/month
FREE Trial ✓ 30 days free trial ✓ 14 days free trial
Free Plan ✘ No free plan ✘ No free plan
Product Demo ✓ Request demo here ✓ Request demo here
Deployment desktop on-premise saas
Integrations Microsoft SQL Server Oracle Database PostgreSQL MySQL IBM DB2 Microsoft Excel Active Directory Visual Studio Eclipse Snowflake Google BigQuery Amazon Redshift Salesforce HubSpot Facebook Ads Google Ads PostgreSQL SAP Microsoft Azure
Target Users small-business mid-market enterprise mid-market enterprise
Target Industries finance healthcare logistics
Customer Count 0 0
Founded Year 1992 2018
Headquarters Beverly, USA New York, 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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Rivery

Rivery provides you with a fully managed SaaS platform to handle your entire data stack in one place. You can move data from hundreds of sources into your cloud warehouse, transform it using SQL or Python, and orchestrate complex workflows without managing any infrastructure. It eliminates the need for fragmented tools by providing a unified interface for ELT, reverse ETL, and data operations.

You can automate your data pipelines with ease, whether you are a data engineer or an analyst. The platform handles the heavy lifting of scaling and maintenance, allowing you to focus on getting insights from your data rather than fixing broken pipelines. It is particularly effective for mid-market and enterprise teams that need to sync data across marketing, sales, and product databases quickly.

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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Rivery Features

  • Native Connectors. Access over 200 pre-built connectors to pull data from apps, databases, and APIs with just a few clicks.
  • Logic Rivers. Build complex data workflows and orchestrate multiple pipelines using a visual interface that requires no coding.
  • Python Transformations. Run custom Python scripts directly within your data pipelines to handle advanced data science and processing tasks.
  • Reverse ETL. Send your processed data back into operational tools like Salesforce and HubSpot to empower your business teams.
  • Change Data Capture. Sync your databases in real-time by only moving the data that has changed, reducing load and costs.
  • Auto-Migration. Automatically map and migrate entire database schemas to your cloud warehouse without manual configuration or mapping.

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
R

Rivery Pricing

Starter
$0.75
  • Pay-as-you-go credit pricing
  • Unlimited pipelines (Rivers)
  • 200+ fully managed connectors
  • Community support
  • Standard data transformation
  • Basic orchestration features

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

Rivery

Pros

  • Extremely fast setup for complex data pipelines
  • Excellent customer support and technical assistance
  • Intuitive interface for non-technical team members
  • Consolidates multiple data tools into one platform
  • Highly reliable pre-built API connectors

Cons

  • Credit-based pricing can be difficult to predict
  • Documentation can be sparse for niche features
  • Occasional lag in the web interface
  • Learning curve for complex logic orchestration
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