DataJoinery partners with the leading cloud providers, to provide the performance and scale that is required
Snowflake is a powerful data platform that enables you to quickly and easily consolidate and share data. DataJoinery makes use of the power of Snowflake by pushing the SQL tasks down onto the Snowflake platform to be executed. Snowflake’s revolutionary architecture allows for near-unlimited performance and scale, catering for data volumes of all sizes.
DataJoinery natively caters for Snowflake’s variant data type to handle changing data structures seamlessly, as well as data sharing with row-level security, and streaming functionality to provide you with the flexibility and power that you need.
DataJoinery is built on top of Google Cloud, and leverages a large number GCP’s services to securely scale and orchestrate data pipelines. Customers are provided with an internal DataJoinery GCP Cloud Storage bucket to upload files, and download the data pipeline SQL tasks and dependencies. DataJoinery can also connect in a secure manner to an external GCP Cloud Storage Bucket to integrate with a customer’s existing Cloud Storage buckets from within the application.
DataJoinery securely connects to a customer’s AWS S3 storage bucket to provide seamless access to the customer’s files from with the application. Customer’s can also opt to use their own S3 bucket to download the data pipeline SQL tasks and dependencies. This functionality allows customers to browse and access files stored within their own account, from within the DataJoinery application.
For customers utilising the Azure cloud, DataJoinery can connect in a secure manner to external Azure Blob Storage buckets. This provides customers with the flexibility around where the files and data pipeline SQL tasks and dependency scripts are stored. Customer can access the files from with the DataJoinery application.
Snowflake is a powerful data platform that enables you to quickly and easily consolidate and share data. DataJoinery makes use of the power of Snowflake by pushing the SQL tasks down onto the Snowflake platform to be executed. Snowflake’s revolutionary architecture allows for near-unlimited performance and scale, catering for data volumes of all sizes.
DataJoinery natively caters for Snowflake’s variant data type to handle changing data structures seamlessly, as well as data sharing with row-level security, and streaming functionality to provide you with the flexibility and power that you need.
DataJoinery is built on top of Google Cloud, and leverages a large number GCP’s services to securely scale and orchestrate data pipelines. Customers are provided with an internal DataJoinery GCP Cloud Storage bucket to upload files, and download the data pipeline SQL tasks and dependencies. DataJoinery can also connect in a secure manner to an external GCP Cloud Storage Bucket to integrate with a customer’s existing Cloud Storage buckets from within the application.
DataJoinery securely connects to a customer’s AWS S3 storage bucket to provide seamless access to the customer’s files from with the application. Customer’s can also opt to use their own S3 bucket to download the data pipeline SQL tasks and dependencies. This functionality allows customers to browse and access files stored within their own account, from within the DataJoinery application.
For customers utilising the Azure cloud, DataJoinery can connect in a secure manner to external Azure Blob Storage buckets. This provides customers with the flexibility around where the files and data pipeline SQL tasks and dependency scripts are stored. Customer can access the files from with the DataJoinery application.