Akeneo to BigQuery connector
€100/month
Sync your Akeneo product catalogue into BigQuery with Kaivo to audit product data quality and completeness across channels and locales.
What gets synced
Kaivo syncs 11+ Akeneo tables, including association_types, attribute_groups, attributes, categories , channels, currencies, into your BigQuery warehouse.
See all Akeneo tablesWhat you can do with Akeneo data
Catalogue completeness
Join products with attributes and families to find missing or incomplete product information.
Channel readiness
Use channels and locales to check which products are ready to publish in each market.
Category structure
Analyse categories and family_variants to understand how your catalogue is organised.
Attribute coverage
Bring attributes and attribute_groups together to measure how consistently products are described.
Use your Akeneo data in your AI and BI tools
Once your Akeneo data lands in your Kaivo-managed BigQuery warehouse, you can explore it with AI tools like Claude or any BI tool that connects to BigQuery. Here is how the most common tools work with Akeneo data.
Analyze Akeneo data with Claude
Once your Akeneo data is in BigQuery you can ask Claude questions about it and get reports and summaries in plain language.
Akeneo data in Power BI
Connect your Akeneo data in BigQuery to Power BI and build live dashboards that refresh automatically.
Akeneo data in Data Studio
Connect your Akeneo data in BigQuery to Data Studio and build shareable reports that stay up to date.
Akeneo data in Tableau
Connect your Akeneo data in BigQuery to Tableau and explore it with interactive visualizations.
Akeneo data in Google Sheets
Pull your Akeneo data from BigQuery into Google Sheets for quick analysis and shared reporting.
Akeneo data in Excel
Pull your Akeneo data from BigQuery into Excel for quick analysis and reporting.
Start analyzing your Akeneo data in three easy steps
Connect your Akeneo account
Connecting to Akeneo or any of our other 450+ ready-made data sources is quick and doesn't require deep technical knowledge.
Select the data you want to fetch
The tables and columns you select will be stored securely in a fully managed BigQuery data warehouse.
Analyze with your data tool
Plug in your favorite data tool and start analyzing. All the data you selected will be available in an easy-to-use format.
Why get your data connectors from Kaivo
Access all the data you need
Bring together data from your marketing, finance, HR, CRM, and other systems. Select from our 450+ ready-made data connectors or ask for custom connectors.
Use the data tool of your choice
Analyze data and build reports with your favorite tools. No need to learn a new and complicated tool.
Data warehouse included
All Kaivo plans include a fully managed BigQuery warehouse. Get all the benefits of a data warehouse without any of the hassle.
Data always up to date
Schedule automatic data syncs to run as frequently as you need and your reports will always have the latest numbers.
No need to worry about maintenance
Tools, APIs, and databases change, but we keep your data pipelines working and connectors updated.
Data is cleaned and ready for reporting
Raw data from source systems can be hard to use for analytics or reports. Kaivo automatically cleans all data and makes it easy to use.
Data-driven companies sync their data with Kaivo
Answers to your questions
Yes. Kaivo syncs your Akeneo data into a managed Google BigQuery warehouse and keeps it up to date automatically.
Kaivo syncs 11+ Akeneo tables, including association_types, attribute_groups, attributes, categories , channels, currencies.
Kaivo keeps your Akeneo data up to date with automatic syncs that you can schedule as often as you need.
No. Kaivo is fully managed, so you can connect Akeneo and start analyzing without building or maintaining any data pipelines.
The Akeneo connector is €100 per month plus the Kaivo platform fee. See the pricing page for platform fee details and trial terms.
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Get started for free in minutes
Connect your sources and your data's ready to use, warehouse included.
