TDT-DIRECT is a cloud-native, fully-automated software solution that enables rapid, large-scale bulk load and change data capture (CDC) data transfer directly from relational databases (PostgreSQL, SQL Server, Oracle, MySQL, Db2) to leading analytics and AI/ML-friendly cloud targets such as Amazon Redshift, Snowflake, Amazon Athena/S3, and Amazon S3 Express One Zone. It leverages AWS Lambda microservices and CloudFormation templates for fast, scalable, and event-driven data movement, while adhering to best practices for massive data loading as recommended by AWS and Snowflake. The solution automates the creation of all necessary schemas, tables, and views in target environments, minimizing setup time and operational complexity. TDT-DIRECT is designed to eliminate technical debt, reduce time-to-production, and provide a robust alternative to custom-built or ODBC-based data transfer solutions.

Key Features

Fully Automated Bulk Load and CDC Automates both initial bulk data loads and ongoing change data capture from major RDBMS sources.

• Supports PostgreSQL, SQL Server, Oracle, MySQL, and Db2
• Enables high-speed, large-scale data transfer to cloud analytics targets

Cloud-Native Microservices Architecture Built on AWS Lambda for scalability and reliability.

• Event-driven, auto-scalable, and highly available
• Delivers faster data flow than traditional ODBC-based solutions

Automated Target Resource Generation Automatically creates all required schemas, tables, views, and staging infrastructure in the target platform.

• Supports Snowflake, Amazon Redshift, Amazon Athena/S3, Amazon S3 Express One Zone, and Amazon Aurora PostgreSQL
• Adheres to AWS and Snowflake best practices for massive data loading

CloudFormation Template Deployment Rapid, standardized deployment and configuration via AWS CloudFormation.

• Automates stack creation, IAM policies, VPCs, and optional database clusters
• Enables customers to be production-ready in minutes

Customizable Lambda Microservices Customers can tailor Lambda functions for extra monitoring or future requirements.

• Flexibility to extend and adapt for specific enterprise needs

Benefits

Reduced Time-to-Production Accelerates implementation of robust data pipelines.

• Eliminates months or years of development
• Enables rapid onboarding and scaling

Lower Total Cost of Ownership Minimizes technical debt and maintenance costs.

• Avoids vendor lock-in from custom solutions
• Reduces future scaling and support expenses

High Performance and Scalability Handles massive data volumes efficiently.

• Uses bulk load utilities instead of ODBC for optimal throughput
• Ensures reliable, fast data movement for analytics and ML/AI workloads

Best Practice Compliance Ensures data transfers follow vendor-recommended methods.

• Prevents bottlenecks and inefficiencies
• Enhances data integrity and reliability