Only 6% of Tough Database Migrations Finish on Time

Widespread migrations, downtime and AI uncertainty end in missed alternatives for price financial savings and threat discount for organizations

Caylent, an Amazon Internet Companies (AWS) Premier Tier Companies Associate, as we speak printed the outcomes of its 2025 Database Migration survey revealing vital challenges in enterprise database modernization efforts. The survey discovered solely 6% of respondents stated their organizations accomplished their most difficult migrations on time, with a mere 6% reporting zero downtime throughout the migration course of. The survey discovered the highest three most difficult migrations to be on-premises to cloud, database model upgrades, and cross-cloud migration. These findings underscore the pressing want for a better, quicker database modernization technique.

Regardless of rising AI adoption in information migrations, vital information gaps persist. Whereas 60% of survey respondents leveraged GenAI or information motion automation instruments for his or her most difficult migration initiatives, a considerable 53% nonetheless lack readability on which AI options and instruments would greatest serve their wants. The survey polled over 300 IT leaders (non-Caylent clients) throughout industries together with schooling, finance and monetary providers, leisure and leisure, healthcare and prescribed drugs, manufacturing, and utilities, power and extraction. Respondents held senior roles starting from IT managers to CTOs.

“The survey confirms what we see daily – modernization is crucial, however too typically organizations are slowed by accrued tech debt and outdated approaches that create pointless downtime and delayed returns,” stated Lori Williams, CEO of Caylent. “At Caylent, we mix generative AI with deep engineering experience to decrease the barrier of entry for even essentially the most complicated initiatives and speed up the time to financial savings. Meaning quicker migrations, lowered legacy prices, and a stronger basis for progress in a market outlined by fixed change.”

The report additionally examines migration timeline traits, the enterprise impacts of downtime, and the effectiveness and considerations of utilizing AI in latest migrations:

• Almost half (46%) of respondents skilled 5+ hours of downtime throughout their most difficult migration.
• Downtime throughout difficult migrations led to buyer expertise points (51%), misplaced income (49%) and operational slowdowns (44%).
• Prime motivators as to why IT leaders migrated embody eradicating vendor lock-in (34%), decreasing spend on database licensing (28%) and rising scalability (13%).
• Most respondents used AI throughout migration, with 77% reporting AI was efficient or extremely efficient.
• Respondents stated the highest three time-intensive duties of their most difficult migration have been transferring information from the supply to focus on database, testing the goal database (together with all integrations), and changing the database schemas for the goal platform.

The survey exposes the delays and uncertainty nonetheless current in database migrations whereas pointing towards AI-driven options as the trail ahead to extra environment friendly database transitions.

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