Real-time Data Integration for S3, Redshift and Snowflake.
Unlocking Value of Data
BryteFlow unlocks Origin’s large volumes of complex enterprise data (including SAP) making it accessible to functional teams by consolidating all workloads and databases into one powerful engine.
Self-service, automated data integration for Amazon S3, Amazon Redshift and Snowflake.
BryteFlow represents the most efficient way to replicate, merge and transform data to Amazon S3, Amazon Redshift and Snowflake. Any database. Any file. Any API. Get ready-to-use, reconciled data in minutes.
See How BryteFlow Works
Download Ebook: Flip the data switch – Automate Modern Data Architecture on AWS with BryteFlow
Data integration on Amazon S3
Replicate data with log-based CDC to Amazon S3, merge and maintain full history on S3. Transform data and prepare for Machine Learning or push curated data assets prepared on S3 to Redshift and Snowflake.
Data integration on Amazon Redshift
Replicate data using log-based CDC to Redshift and keep full history of every transaction. BryteFlow is codeless, self-serve and automated. Supports terabytes of data and data reconciliation.
Data integration on Snowflake
Use log-based CDC to replicate data to Snowflake, maintaining a full history of every transaction. Supports terabytes of data and data reconciliation. BryteFlow helps cut down deployment from months to hours.
Easy to use, flexible and codeless.
Build an automated, real-time data lake.
BryteFlow provides automated data ingestion with a simple point and click interface that anyone can use. No coding required! Merges data for data analytics incredibly fast.
Power business users can model and prepare their data for real-time insights.
BryteFlow automatically merges and remodels data with rich metadata and data lineage from SAP, Oracle, SQL Server and other sources to make it ready for analytics super-fast.
Access data for a variety of applications.
Whether it is a Relational DW, relational databases, ML or AI, BryteFlow provides fast access to consistent data across all cloud services for consumption with no impact on source even with multiple users.
