Best Data Exchange Platforms for MySQL

Compare the Top Data Exchange Platforms that integrate with MySQL as of June 2025

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This a list of Data Exchange platforms that integrate with MySQL. Use the filters on the left to add additional filters for products that have integrations with MySQL. View the products that work with MySQL in the table below.

What are Data Exchange Platforms for MySQL?

Data exchange platforms are platforms and digital ecosystems that facilitate the secure and efficient sharing of data between organizations, individuals, or systems. These platforms provide standardized protocols and tools to enable seamless data integration, ensuring interoperability across diverse formats and systems. They often include features such as data encryption, access control, and compliance management to maintain privacy and regulatory adherence. By streamlining data sharing, these platforms promote collaboration, innovation, and decision-making across industries like healthcare, finance, and logistics. Their use reduces data silos, enhances scalability, and unlocks new opportunities for data-driven insights. Compare and read user reviews of the best Data Exchange platforms for MySQL currently available using the table below. This list is updated regularly.

1

Weld

Weld

Create, edit and organize your data models. No need to get yet another data tool for your data models. Create and manage them in Weld. Packed with features that will make creating your data models a breeze: smart autocomplete, code folding, error highlighting, audit logs, version control and collaboration. Plus, we use the same text editor as VS Code – it's fast, powerful and easy on the eye. Your queries are organized in an easily searchable and accessible library. Audit logs also let you see when the query was last updated, and by who. Weld Model supports materializing models as tables, incremental tables, views, or a custom materialization of your design. Run all your data operations in one simple platform – with help from a dedicated team of data analysts.

Starting Price: €750 per month

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2

Osmos

Osmos

With Osmos, your customers can easily clean their messy data files and import them directly into your operational system without writing a line of code. At the core, we have an AI-powered data transformation engine that enables users to map, validate, and clean data with only a few clicks. Your account will be charged or credited based on the percentage of the billing cycle left at the time the plan was changed. An eCommerce company automates ingestion of product catalog data from multiple distributors and vendors into their database. A manufacturing company automates the data ingestion of purchase orders from email attachments into Netsuite. Automatically clean up and reformat incoming data to match your destination schema. Never deal with custom scripts and spreadsheets again.

Starting Price: $299 per month

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3

CSVBox

CSVBox

CSVBox is a CSV importer tool designed for web applications, SaaS platforms, and APIs, enabling users to add a CSV import widget to their apps in just a few minutes. It provides a sophisticated upload experience, allowing users to select a spreadsheet file, map CSV column headers to a predefined data model with automatic column-matching recommendations, and validate data directly within the widget to ensure clean and error-free uploads. The platform supports multiple file types, including CSV, XLSX, and XLS, and offers features such as smart column matching, client-side data validation, and progress bar uploads to enhance user confidence during the upload process. CSVBox also provides no-code configuration, enabling users to define their data model and validation rules through a dashboard without modifying existing code. Additionally, it offers import links to accept files without embedding the widget, custom attributes.

Starting Price: $19 per month

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4

Alibaba Cloud Data Integration

Alibaba

Alibaba Cloud Data Integration is a comprehensive data synchronization platform that facilitates both real-time and offline data exchange across various data sources, networks, and locations. It supports data synchronization between more than 400 pairs of disparate data sources, including RDS databases, semi-structured storage, non-structured storage (such as audio, video, and images), NoSQL databases, and big data storage. The platform also enables real-time data reading and writing between data sources such as Oracle, MySQL, and DataHub. Data Integration allows users to schedule offline tasks by setting specific trigger times, including year, month, day, hour, and minute, simplifying the configuration of periodic incremental data extraction. It integrates seamlessly with DataWorks data modeling, providing an operations and maintenance integrated workflow. The platform leverages the computing capability of Hadoop clusters to synchronize HDFS data to MaxCompute.

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