Transforming your search experience starts with transforming your data

Data Transformation lets you clean, enrich, and standardize your records before they’re indexed in Algolia. It ensures your data is consistent, searchable, and optimized for the best end-user experience without needing to preprocess it elsewhere.

With Data Transformation, you centralize transformations directly within Algolia, reducing the need for external scripts or ETL pipelines. This saves engineering time, ensures consistency, and makes it easier to adapt quickly when your data model changes.

You can normalize text (e.g., casing, trimming whitespace), combine or split fields, generate computed attributes, remove unwanted fields, or enrich records with metadata. The system is flexible and supports a wide range of use cases. Learn more about code and no-code transformations in our documentation. 

No coding is required for many common transformations. Algolia provides a configuration-based interface, though developers can also define custom logic when needed. Learn more about code and no-code transformations in our documentation. 

Transformations run at indexing time, so your search queries remain fast. Performance is optimized so you can handle large datasets without slowing down user search experiences.

Yes, you can preview transformations on sample records before pushing changes live, ensuring accuracy and preventing errors from reaching production.

Yes. All transformations happen within Algolia’s secure infrastructure. Your data never leaves the platform, and access controls follow your existing Algolia permissions. Learn more about Algolia security and compliance. 

Algolia Data Transformation can complement existing ETL workflows. You can continue using your data pipelines for heavy processing, while leveraging Algolia to handle last-mile, search-specific transformations.

Engineering teams save development time, merchandisers can enrich product data without waiting on dev cycles, and end-users enjoy more consistent, relevant search and discovery experiences.