Zoho CRM and MySQL Integration

Replace Manual Hassle with Automated Two Way Sync

Manual exports, script maintenance, and copy-paste workflows are slow and hard to scale. Skyvia replaces these tasks with automatic, bidirectional sync between Zoho CRM and MySQL. Set up your sync logic once and let the platform keep both systems in sync while your team focuses on work that matters.

Smart Zoho CRM Replication to MySQL

Skyvia Replication tool for Zoho CRM data archiving to MySQL or loading data to the database for data analysis and reporting. It allows you to quickly create an exact Zoho CRM data copy in the MySQL database and keep it updated automatically.

by object, exclude unnecessary fields, and customize naming conventions. Skyvia ensures every replication job stays accurate, efficient, and fully automated — even as your source evolves.

ETL Tool with Advanced Transformations

With Skyvia Import, you can easily exchange data between Zoho CRM objects and MySQL tables regardless of their structure. Import allows you to transform data via data splitting - channel data from one object into multiple ones. It supports a number of mapping kinds, including constants, expressions, lookups, etc.

Skyvia has it's own expression language with a number of string, datetime, mathematical, and logical functions and operators that enable you to transform and convert data as you need it. Special relation mapping easily builds relations in target based on the relations in source with minimal configuration.

ETL Pipelines with Business Logic

With Data Flow and Control Flow, Skyvia becomes more than an integration tool — it’s a logic engine.

Connect unlimited sources. Route records by condition. Launch flows when others finish or fail. With these tools, you don’t just move data — you define the business processes around it.

Automate Like Clockwork

Think of Skyvia Automation like lining up smart dominos. One event triggers the next — each piece falling exactly where it should.

Set up the first move: a webhook, a data change, a scheduled time. Then define what happens next — query data, run a check, act on results. Each step leads to the next, flowing through multiple systems, decisions, and outcomes. No coding. Just a well-designed chain reaction.