Use BryteFlow Blend as a self-service Analyst workbench on your BryteFlow Amazon S3 Data Lake


Data Preparation on your BryteFlow Amazon S3 Data Lake with a self-service point-and-click workbench to select, join and transform data.

Blend automatically converts transformations to powerful and scalable Spark code

Persist Data Assets in Amazon S3 and optionally  export data assets to Amazon Redshift or Amazon Aurora

Automated Amazon KMS Encryption in transit and rest with optional Data Masking

Create a Data-as-a-service environment for your Business users

‚¶Ā Integration with other AWS services for monitoring and alerting

We are proud to be one of the very few companies in the world who are Amazon Advanced Technology Partners with Big Data Competency.

BryteFlow Blend

Transform and Prepare Data with Built-in SQL Editor and ETL for Amazon S3

Transform and prepare data using SQL on Amazon S3. Bryte provides an intuitive SQL on the Amazon S3 user interface to build data models without the need to move data into a relational database or data warehouse.

Easily Create and Schedule Amazon S3 Jobs

Choose Amazon S3 Output File Format

  • Easily organize Data into Multiple Amazon S3 folders
  • Manage multiple levels of Data Maturity from Raw Data to Complex Data Marts