Trusted Sybase IQ to BigQuery migrations – fixed scope
How to migrate SAP Sybase IQ to Google BigQuery? It is a well-structured project when you have a team that understands both platforms.
The lowest-cost way off SAP Sybase IQ: our migration tooling automates the repetitive work —you pay senior engineers for judgment, not keystrokes.
How we support SAP Sybase IQ → Google BigQuery after migration
- ✓Senior Sybase DBAs and GCP architects on every project
- ✓Fixed-scope migration – no surprise overruns
- ✓Watcom SQL stored procedures converted to BigQuery SQL
- ✓Legacy HG indexes restructured as partition/cluster keys
- ✓Keep vendor support while you migrate – no rush
- ✓40-70% savings on legacy platform support post-migration
Watcom SQL stored procedures
Proprietary Sybase logic that breaks in translation. Our engineers manually rewrite them to standard SQL – fully tested before cutover.
Complex join structures relying on HG indexes
Multitable joins built for IQ’s column store can cripple performance on BigQuery unless properly redesigned. We re-index for partition and cluster keys.
Legacy on-prem ETL and file formats
Flat files, custom extracts, and scheduled jobs tied to your appliance. We migrate the data pipeline to GCP’s native tools – no manual rework.
SAP Sybase IQ → Google BigQuery migration — your questions answered
How do you handle the SAP Sybase IQ to BigQuery migration without downtime?+
We run the migration in parallel to your production Sybase IQ instance. Your vendor support remains active during the entire project. Only after validation do we switch traffic to BigQuery – no big-bang cutover.
My Sybase IQ appliance is reaching end-of-life. Can you help?+
Yes. Hardware end-of-life is a common trigger. Our fixed-scope project moves your data and workloads to BigQuery before the appliance becomes unsupported.
What if my vendor support contract lapses mid-migration?+
We offer third-party support that covers most operational issues on the legacy platform (not vendor patches) so you can continue migrating on your timeline.
Do you integrate with Google Cloud’s machine learning tools?+
Absolutely. After migration we optimize your BigQuery schema for ML model training and inference, turning your warehouse into an AI-ready platform.
Post-migration: Optimize your BigQuery cost & data engineering
Once your data is live in BigQuery, we continue with cost optimization (slot management, partitioning, clustering) and dedicated Google Cloud data engineering. Get a TCO assessment to see exactly what your migration will cost and save.