Real migration outcomes over slideware speed
We do not publish synthetic lab benchmarks. Instead, we share how quickly customers actually migrate Teradata, Oracle, SQL Server, or SAP HANA into Amazon S3 and Apache Iceberg.
0%
Marketing benchmarks. Only production measurements.
3-6 Wo.
Typical span from first assessment to cut-over with delta loads.
CDC
Log-based CDC is in progress. Today: scheduled batch deltas.
What we measure
Every migration receives a standardized metric set: real tables, real workloads, real change windows.
Throughput & parallelism
We track GB/hr, bandwidth draw, and compression on real S3 stages—not isolated labs.
Delta windows
Scheduled batch deltas (e.g., daily) keep systems in sync while log-based CDC stays on the roadmap.
Validation & quality
Automated row counts, checksums, and schema diffs document every migration wave.
Comparing with Airbyte & others
Our connectors run inside Airbyte. We focus on production stability, not marketing benchmarks.
Shared platform
All pipelines operate on Airbyte (self-hosted or managed). No proprietary runners, no hidden limits.
S3 & Iceberg as target
We deliver production-ready S3/Apache Iceberg tables—engine-agnostic for Spark, Trino, Presto, or DuckDB.
Transparent roadmap
Log-based CDC is under development. Until then, scheduled batch deltas provide zero-disruption cut-overs.
Ready for numbers from your landscape?
Request a migration assessment—we share concrete results from S3 stages, delta loads, and validation.
Or email info@bigdata2cloud.com.