Reading Time: 5 minutes

Matillion and IDG Research surveyed IT professionals across multiple industries – including finance, retail, and healthcare – and confirmed a few themes. Data volumes are growing, public cloud adoption is rising, and the amount of data sources in an organization is vast. 

According to the survey, the average organization has 400+ sources, and 20% of companies were drawing from more than 1000 sources. With this level of data fragmentation, it comes as no surprise that many organizations are increasingly relying on data warehouses as a core part of their IT strategy. 

Data warehouses reduce data fragmentation

Data warehouses help consolidate multiple data sources in an organization to help them make decisions, allowing:

  • Business intelligence to analyze comprehensive and historical sets of data
  • Business users to query data without significant manual intervention from IT
  • Users to get greater data consistency and quality from multiple sources

Data warehouses help reduce data fragmentation but come with challenges of their own: loading data, keeping external applications in sync with the data warehouse, and wrangling more data management processes.

MuleSoft solves these challenges. With new data warehouse connectors for Anypoint Platform, MuleSoft can simplify data warehouse integration and management. Here are three connectors for the leading data warehouses, including Snowflake, Amazon Redshift, and Google BigQuery.  

Amazon Redshift

The Anypoint Connector to Redshift simplifies the process of loading data into Redshift. 

With this connector, you can:

  • Perform bulk inserts and updates from multiple data sources, including AWS DynamoDB. 
  • Query and build reports from Redshift data with PowerBI and Tableau.
  • Stream data from sources such as social media (e.g. Twitter) for real-time analytics.

Bulk loading CSV data into a Redshift instance with MuleSoft, simplifying the ETL process.


The Anypoint Connector for Snowflake helps you load data into Snowflake instances, run queries on Snowflake tables, and sync data with external business applications.

With this connector, you can:

  • Load bulk data into your Snowflake instance.
  • Insert, delete, update, and merge data in Snowflake tables.
  • Keep unstructured and structured data in sync between Snowflake and external data sources.

Google BigQuery 

The Anypoint Connector for Google BigQuery helps customers load, extract, and query data into and out of BigQuery.

With this connector, you can:

  • Run operations to insert, update, and delete data in BigQuery with standard SQL statements.
  • Load data into BigQuery from multiple sources including relational databases and on-premises data stores to help with data migration to public cloud environments.
  • Help extract data from BigQuery into business intelligence tools for simpler reporting and analysis. 
latest report
Learn why we are the Leaders in API management and iPaaS

Learn more about our Anypoint connectors 

For more information on how your organization can simplify data integration and management, take a look at Anypoint connectors for Redshift, Snowflake, and Google BigQuery.