Shopify / GraphQL Data Mapping Tools

Integrate Shopify Data

  • Define calls to Shopify API
  • Shopify data extraction
  • Upload data to Shopify services
  • Shopify to database integration
  • ETL for Shopify
  • Define calls to GraphQL APIs
  • Extract/upload data to GraphQL
  • Drag & drop data mapping
  • Visual function builder
  • Automate data integration with MapForce Server

Convert Shopify/GraphQL Data

Shopify is an immensely popular ecommerce platform used by small businesses, online sellers, and global businesses to process payments, manage inventory, and perform other requirements for running a retail operation. Shopify has recently standardized on GraphQL as the format for its API and will soon require that all new Shopify apps use GraphQL. GraphQL allows developers to precisely define the data required, reducing unnecessary data transfer and improving performance. It is used by numerous e-commerce platforms in addition to Shopify.

MapForce supports calls to Shopify, as well as for generic GraphQL calls used by other services, as the source or target of any data mapping project. Visual tools in MapForce make it easy to convert and integrate Shopify data with other data formats such as XML, CSV, Excel, and databases.

Software to integrate Shopify/GraphQL data

Importing and exporting data from Shopify (or other services using GraphQL APIs) can be used to, for instance:

  • Export Shopify data to a backend database or accounting system
  • Sync product data across multiple Shopify stores
  • Import CSV data from an inventory system to a Shopify store
  • Convert Shopify customer data to XML for CRM or marketing tools
  • Generate custom reports by exporting Shopify data to Excel
  • Automate Shopify ETL pipelines

Shopify/GraphQL Data Integration

MapForce supports any combination of XML, JSON, database, PDF, CSV, Excel, EDI, XBRL, Protobuf, and Web services data for integration with Shopify and GraphQL data. This flexible, any-to-any support makes it easy to map, transform, and convert Shopify data to and from other common data formats. MapForce uses a no-code, graphical approach to data mapping, enabling drag-and-drop field association between data structures that are representited graphically (as shown above).

The data integration tool supports advanced transformations between multiple input and multiple output data formats, multiple source and/or target files, or advanced multi-pass data transformations. A rich library of data processing functions let you filter and manipulate data according to the needs of the project at hand, and the unique visual function builder offers a powerful visual interface for defining and reusing custom functions that combine multiple operations.

ETL for Shopify

With support for all popular NoSQL and relational database types, MapForce is an affordable, efficient ETL tool.

Graphical tools in MapForce make it easy to define Shopify ETL pipelines to extract data from Shopify, transform it as required, and write it to a target database system.

Supported SQL databases:

  • Firebird
  • IBM DB2 for iSeries®
  • IBM DB2®
  • Informix®
  • MariaDB
  • Microsoft Access™
  • Microsoft® Azure SQL
  • Microsoft® SQL Server®
  • MySQL®
  • Oracle®
  • PostgreSQL
  • Progress OpenEdge
  • SQLite
  • Sybase® ASE
  • Teradata

Supported NoSQL Databases:

  • MongoDB
  • CouchDB
  • Microsoft Azure Cosmos DB

Once your mapping is defined, the built-in MapForce Engine executes the ETL process and lets you preview results with one click.

Writing Shopify or GraphQL data to a database produces output in the form of SQL scripts (e.g., SELECT, INSERT, UPDATE, and DELETE statements) that are run against your target database directly from within MapForce or via MapForce Server.

High-performance automation

For high-performance, scalable automation, Shopify/GraphQL ETL workflows and data integration projects can be executed by MapForce Server.