De-Risk Your Migration: Run Legacy and New Systems in Parallel
💻 Did you know? An alarming 83% of data migrations either fail outright or drastically overrun their budgets. When management loses patience with mounting technical friction, entire digital transformations are written off.
Minimising the migration gamble
To eliminate this operational hazard, running legacy and new systems in parallel has become the preferred methodology for data experts. Instead of risking a single, catastrophic cutover, you replicate business logic in the new cloud environment and synchronise data flows across both systems. By operating both platforms simultaneously, you create a safety net. This allows you to validate data consistency, test performance under real-world loads, and ensure continuity without interrupting daily business operations.
The friction of double maintenance
While parallel runs dramatically lower operational risk, they introduce distinct architectural challenges. Data engineers face the immense burden of maintaining data integrity across disparate system vintages.
Businesses commonly struggle with several critical issues:
- Logic Drift: Replicating complex, shifting business rules between on-prem systems and modern cloud architectures often results in data discrepancies.
- Dual-Write Complexity: Building custom Change Data Capture (CDC) and bi-directional synchronization to keep multiple databases aligned in real-time requires immense developer resources.
- Pipeline Bloat: Engineers routinely end up “babysitting” a fragmented five-tool stack just to handle streaming, data quality checks, and schema evolution.
How IOblend turns months into weeks
This is where IOblend completely alters the migration paradigm. As a next-generation data integration application, IOblend abstracts away the architectural complexity of parallel runs, allowing you to build production-grade pipelines in minutes rather than quarters.
By standardising pipelines on Apache Spark™ as portable JSON playbooks, IOblend delivers the tools needed to execute a seamless, risk-free parallel migration:
- Real-Time Synchronisation: With built-in, log-based CDC and bi-directional data mirroring, IOblend keeps your legacy and new platforms perfectly in sync, automatically eliminating manual updates and data errors.
- Out-of-the-Box DataOps: Every pipeline automatically manages record-level lineage, Slowly Changing Dimensions (SCD Types I and II), data quality checks, and schema drift, ensuring absolute trust in your new data asset.
- Unprecedented Time-to-Value: In a recent enterprise use case involving complex legacy systems, IOblend safely compressed a traditional nine-month migration scope down to just six weeks.
You no longer have to choose between project speed and operational safety.
De-risk your enterprise migration and run your systems in perfect harmony.
Data Plumbing Essentials: Production Pipelines
The creation of production data pipelines is an exercise in precision engineering, meticulous planning, robust construction, and continuous maintenance.
Breaking Down the Walls: Overcoming Data Silos
All enterprise data should be discoverable, catalogued and made available for analytics. But the reality is quite different. Data silos are a persistent issue.
Complex World of Enterprise Data Estates
Large enterprises data estates are complex and costly to run and maintain. IOblend enables simplified data integration capabilities that alleviates complexities
Advanced data integration solutions: IOblend vs Pentaho
IOblend and Hitachi Pentaho are advanced data integration tools catering to the data needs of businesses. They differ in architecture design, features and cost.
Advanced data integration solutions: IOblend vs Fivetran
IOblend and Fivetran are both advanced data integration platforms that cater to the growing needs of businesses.
Advanced data integration solutions: IOblend vs Matillion
IOblend and Matillion are both advanced data integration platforms that cater to the growing needs of businesses.
