Seamlessly bridge the gap between reliable mainframe architecture and the power of modern cloud AI systems. Automate replication, unlock data silos, and scale your legacy intelligence.
View AWS Mainframe Modernization Webinar Replay featuring the
Treehouse Dataflow Toolkit (TDT) with a customer case study.
Adabas databases have powered enterprise workloads for decades, but organizations increasingly need that data in modern cloud platforms. Migrating legacy data accurately while preserving its structure is often one of the most difficult parts of a modernization effort. TDT-Direct for Adabas was built to solve that problem.
Treehouse Software’s Treehouse Dataflow Toolkit (TDT) is currently in production at a large auto manufacturer as their key component for replicating dealership and vehicle order management data from multiple disparate mainframe databases to Snowflake on AWS.
for adabas
A fast and easy way to replicate your mainframe z/OS and VSE Adabas data to Snowflake and Analytics/AI/ML-friendly targets on AWS.
Learn More
for non-mainframe
A Cloud-native, turnkey solution that provides rapid bulk load and CDC data transfer directly from PostgreSQL, SQL Server, Oracle, and Db2 to Snowflake.
Learn More
for Mainframe
A fully-automated, turnkey solution that enables speedy data transfer from mainframes via Kafka pipelines to Amazon Redshift, Snowflake, and S3.
Learn More
Replicate and Sync
Immediate data replication between Mainframe sources and Cloud/Open System targets, enabling customers to meet spikes in demand.
Learn More