It would be very valuable to support Parquet as an export format for Azure Blob Storage, in addition to CSV.
Many companies use Azure Blob Storage or ADLS Gen2 as the landing layer for modern data platforms and lakehouse architectures. In these environments, Parquet is often preferred because its columnar format provides better compression, reduces storage and data scanning, and enables more efficient downstream processing with tools such as Databricks, Microsoft Fabric, Synapse, and other analytics engines.
Currently, exporting only as CSV requires an additional transformation step before the data can be efficiently consumed by these platforms.
Supporting native Parquet exports would make Windsor.ai much more suitable for enterprise data pipelines and could significantly simplify integrations between marketing data sources and modern cloud data platforms.