Connecting Third Party Tools
Mambu Insights is designed for seamless integration with your existing data ecosystem. Data is made available through standard object storage, allowing you to connect a wide variety of data platforms and business intelligence (BI) tools.
Mambu Insights does not provide direct access to data via a Relational Database Management System (RDBMS). All access is through the object storage layer.
S3 direct access
The most direct way to connect to your Mambu Data Lake is via an S3 PrivateLink. This method allows your data engineers and data scientists to directly access the Parquet files that make up the Gold Standard data products. You can use this access to load data into any S3-compatible system or process it using custom scripts and applications.
Snowflake integration
You can easily integrate your Mambu Data Lake with Snowflake. By configuring an external stage in Snowflake that points to the provided S3 bucket, you can query the data directly using Snowflake's SQL interface or load it into Snowflake tables for enhanced performance. This allows you to combine your Mambu data with other data sources within your Snowflake environment.
Databricks integration
Mambu Insights supports direct integration with Databricks. You can mount the S3 bucket in your Databricks workspace to work with the data using notebooks, run complex analytics, and build machine learning models with Spark. The Delta Lake format used in Mambu Insights is native to Databricks, ensuring optimal performance and reliability.