ETL migration used to be a back-burner project. In 2026, it’s a renewal-cycle decision. Informatica, SSIS, and DataStage were built for a world of dedicated hardware and predictable batch windows. That world is gone. Gartner predicts 65% of global application workloads will be cloud-ready by 2027, and the pipelines feeding those workloads cannot stay on legacy platforms. The catch is
Cloud providers are rapidly transforming how organizations move data. In recent updates, Amazon Web Services introduced Transform, an AI-powered service that automates full-stack Windows-to-cloud migrations. Microsoft launched Migrate Agent to scan on-prem workloads and recommend optimal migration paths, while Google Cloud enhanced its Database Migration Service with Gemini-powered conversion tools for complex scenarios like Oracle to PostgreSQL. Snowflake is also
Most enterprise data leaders have the same conversation every quarter. The warehouse bill is up again. New AI projects need data the warehouse can’t economically hold. Reporting still works, so ripping it out feels reckless. The old setup is straining, and the obvious next move carries real risk. The pressure is industry-wide. Gartner forecasts total data center spending will rise
SAP’s end-of-life timeline for Crystal Reports is no longer theoretical. Crystal Reports 2016 support ended on December 31, 2024, and Crystal Reports 2020 reaches end of maintenance on December 31, 2026 . For organizations running either version, this directly impacts long-term reporting strategy and accelerates the need for Crystal Reports to Power BI migration. After these dates, there are no
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