DBShift — Database Migration
Seamless database migration across platforms
DBShift — Database Migration launched on June 6, 2026 with 3 votes, #6,658 of 22,647 launches that month and more than 50% of that year's launches.
What it does
DBShift is a modern database migration platform designed to simplify data migration across different database systems. It helps developers and organizations migrate data securely and efficiently while preserving data integrity and minimizing downtime. DBShift provides an intuitive dashboard for managing migrations, monitoring progress, validating data, and handling schema mapping. It supports automated migration workflows, data validation, access control, and real-time monitoring
Migrate across 11 engines with every row checksum-verified. Give AI agents scoped, PII-masked, audited access over MCP — never your credentials.
Move schema and data across 11 engines with every row checksum-verified. Then browse, mask and audit that data — including when an AI agent is the one asking. $ dbshift validate --source mysql://prod --target postgresql://new Same engine support as the hosted app — nothing leaves your network. Move schema + data across 11 engines with conversion, validation, rollback, zero-downtime CDC and a guided go-live cutover — one-off, recurring on cron, or triggered from CI. Ask questions in plain English, then browse, query and govern any database — masked-on-read PII, access reviews, and masked test-data copies for staging. No SQL client. The safe data door for AI agents — scoped tokens, curated…from dbshifts.com
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Visualize database schemas with a single query2024 · github.com · ▲227Hey HN! We are Jonathan & Guy, and we are happy to share a project we’ve been working on. ChartDB is a tool to help developers and data analysts quickly visualize database schemas by generating ER diagrams with just one query. A unique feature of our product is AI-Powered export for easy migration. You can give it a try at https://chartdb.io and find the source code on GitHub. Next steps ---> More AI. We’d love feedback :)
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