Data Sources Overview

In a nutshell: Data sources are connections to your data storage, data warehouses, or databases. Connecting to a data source enables you to onboard data assets such as tables or buckets into Monda.

Ready to get started with Monda? Creating a data source is where it all begins.

By connecting your data tables to the platform, you establish the foundational building blocks for the Data Products you will soon share with customers, and with prospects via your Customer Portal.

Supported data sources

Monda currently supports some of the most popular data storage, data warehouses, and databases as a data source.

Source	Type	Tabular Data	Non-Tabular Data
Google Cloud Storage	Object Storage	✅	❌
Microsoft Azure Blob Storage	Object Storage	✅	✅
Amazon S3	Object Storage	✅	❌
Google BigQuery	Data Warehouse	✅	❌
AWS Redshift	Data Warehouse	✅	❌
Snowflake Database	Data Warehouse	✅	❌
Postgres Database	Database	✅	❌
SFTP	File Transfer	✅	❌

Can't find your source? Reach out to us for an integration request.

Prepare your data

Taking a few minutes to prepare your data ensures a smooth data onboarding process. Review this formatting checklist to ensure your files meet Monda's technical requirements.

Formatting your data files

Create a separate folder in the storage location for each data product.
You can store multiple files in one folder. However, all files need to follow the same data structure e.g. same columns and data types to avoid errors when trying to merge them.
Use files with headers (e.g. CSV or Parquet). Files without headers will still be processed, but Monda will automatically generate generic column names which may be confusing when the data is consumed.
Single-file compression is supported (e.g., gzip, snappy).
Large files are supported, but they may take longer to process and could affect performance. We recommend keeping each file under 200 MB to ensure fast loading and data delivery, such as splitting large files into smaller ones with the same schema wherever possible.
The maximum supported file size is 18 GB per file.
Files are processed using UTF-8 encoding by default.
To prevent parsing errors, ensure that delimiters and quotation marks are properly escaped, especially in CSV files.
Monda treats fields as “optionally enclosed in quotes.” This means that if the parser encounters an opening quotation mark (e.g."), it will consider all characters that follow (including delimiters) as part of the same field until it finds a closing quote.