Easily sync data from Akeneo to MS SQL Server, explore your data with the rich Data Explorer and transform your Akeneo data with SQL.
Akeneo is a SaaS application used in modern business operations, holding valuable data on customers, transactions, or workflows. Getting Akeneo data out for cross-source analytics typically requires custom scripts or one-off integration tools. Peliqan provides a managed Akeneo connector that syncs data into your warehouse automatically, unlocking cross-source reporting, AI use cases, and reverse ETL workflows.
MS SQL Server is a cloud data warehouse used as a central destination for analytical workloads, separating storage from compute for scalable performance. It supports SQL-native exploration of large datasets and is the standard target for unified analytics. Peliqan loads MS SQL Server from upstream business applications through managed ELT connectors with incremental syncs and schema management.
Peliqan brings ETL pipelines, data transformations and reverse ETL together in one integrated platform. Connect your favorite BI tool and activate your data with SQL and low-code Python.
Sync Akeneo data into MS SQL Server with a few clicks. Or choose any other data warehouse or database as a destination.
Deploy production-ready ELT pipelines with automatic schema detection and incremental updates. Your Akeneo data flows into MS SQL Server continuously.
Transform your data during sync with SQL or Python. Use AI to generate transformation logic from plain-English descriptions – clean, validate and enrich data before it lands in MS SQL Server.
Combine Akeneo with 250+ other data sources in MS SQL Server. Create unified datasets for analytics, reporting and machine learning – all in your centralized warehouse.
Run custom Python or SQL transformations on your Akeneo data before loading into MS SQL Server. Perfect for data checks, business logic, and complex transformations.
After processing your data in MS SQL Server, sync enriched data back to Akeneo or other systems (writeback). Complete the loop with bidirectional sync.
Authenticate your source (Akeneo)
via OAuth or API key – no complex setup.
Your data appears in the Peliqan data warehouse with automatic schema detection and optimization for analytics.
Or bring your own data warehouse (Snowflake, Redshift, Bigquery, Clickhouse, Fabric).
Use SQL, natural language queries, or the Peliqan data explorer and analyze your unified data.
Connect your favorite BI tool to the Peliqan data warehouse, build Python apps, and sync insights back to your business applications.
Turn on AI Agents (RAG and text-to-SQL) to answer business queries, generate SQL, or trigger downstream actions (e.g., create a CRM task).
A cloud data platform designed for the systems and workflows modern data and business teams use every day.
Efficiently sync only new & changed records from Akeneo to MS SQL Server using incremental loading strategies.
Automatically handle schema changes in Akeneo – new fields, renamed columns, and type changes are detected and propagated to MS SQL Server.
Built-in data quality checks ensure clean data in MS SQL Server. Set validation rules, detect anomalies, and get alerts for data quality issues.
Schedule complex workflows, dependencies, and multi-step pipelines. Use built-in orchestration capabilities.
Leverage MS SQL Server-specific features like partitioning, clustering, and materialized views for optimal query performance.
REST APIs, Python SDK and a custom connector framework for advanced data engineering workflows.
Peliqan provides a high-performance ELT engine optimized for modern cloud data warehouses.
Load, transform and orchestrate data reliably with warehouse-native speed and security.
Send data out
Sync your Akeneo data into these databases and warehouses.
Connect your apps, then work with the data in a spreadsheet, in SQL, or in plain English. No pipelines to maintain.
Yes, you can connect multiple instances of Akeneo and unify the data, or you can customize field mappings for each connection.
You control the sync frequency: as often as every 15 minutes on the Pro plan, or hourly, daily and custom schedules. Some source systems set their own limits – Exact Online, for example, defaults to every 6 hours.
Yes. Transform data with SQL or low-code Python before or after it lands in the warehouse. You can clean fields, join across sources and reshape tables without touching the source system.
Peliqan handles enterprise-scale data volumes. Our distributed architecture processes millions of records efficiently with automatic scaling based on your needs.
Our team builds custom connectors, typically within 2 weeks. You can also build your own pipelines with low-code Python.
Connect Akeneo to MS SQL Server in minutes, and build the reports and dashboards your team actually needs.