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Centauri Migrate is an early, author-described command-line project that aims to extract Firestore data, infer a relational schema from its documents, and translate Firestore Security Rules into candidate Postgres row-level security (RLS) policies. Its announcement describes a dry-run-first tool—not a proven, hands-off production migration. The author said it had not yet been tested on a real production-scale Firestore project.
What Centauri Migrate is intended to do
In a public announcement, the project author described three linked tasks: extracting data from Firestore, inferring a candidate relational schema from the shape of that data, and translating Firestore Security Rules into proposed Postgres RLS policies. Those are announced capabilities, not independently verified evidence of how well the tool handles varied production databases. The project-specific reference is the author’s repository, github.com/KeymelGaston/centauri-migrate.
The author says the workflow is dry-run by default and does not apply changes automatically: “Nothing applies automatically.” That makes the output something to inspect and validate, not a substitute for migration design or approval. In particular, an inferred schema is a proposal about how to represent the source data; it does not decide which nested structures should become related tables, remain document-like, or be transformed for the destination application.
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How much confidence should you place in it?
The author reported 84 tests passing against the Firestore emulator in 2026. That is a self-reported test result, not an independent benchmark, and it does not establish throughput, success rates, or reliability on real projects. The author also disclosed that the tool had not yet been run against a real production-scale Firestore project. Treat those statements as a snapshot from the announcement, not confirmation of the repository’s current status.
#1 Best Overall
Security-rule translation deserves particular scrutiny. The announcement says low-confidence results are flagged for manual review and uncertain translations default to deny. Default-deny behavior can reduce the chance that an ambiguous rule becomes permissive, but it can also block access the application needs. Review generated policies against the intended access behavior and test both allowed and forbidden operations before relying on them.
What a Firestore-to-Postgres migration still needs
Schema generation and data extraction are only part of a migration. A Supabase community discussion about moving from Firestore to Supabase highlights practical decisions that remain application- and dataset-specific. These are community suggestions, not documented Centauri Migrate features or universal requirements.
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- Choose how to represent nested data. Some structures may fit normalized tables and relationships; others may be better preserved in Postgres JSONB, at least initially. The right balance depends on how the application reads and updates the data.
- Transform types deliberately. Plan explicit conversion for timestamps and any other values whose Firestore representation does not directly match the destination schema.
- Make loading recoverable. Idempotent upserts and manageable batches are options to consider when a load may need to resume or be repeated. Validate that rerunning a batch does not create duplicates or overwrite newer data unexpectedly.
- Handle authentication separately. Moving database records does not, by itself, migrate user identities or resolve application sign-in behavior. Plan that work independently.
- Plan coexistence and cutover. If both systems must accept changes during a transition, define which system is authoritative and how changes move between them. Bidirectional synchronization can create write loops and other consistency problems.
These considerations appear in a Supabase community discussion that began in 2020 and includes a 2023 update and later replies. They are useful prompts for a project plan, not a specification for Centauri Migrate or a guarantee that any particular migration approach will work.
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- Inspect the repository before adopting it. Confirm its current state and documentation directly in the project repository. The announcement alone does not establish current release status, installation steps, license, supported Postgres variants, or exact rule-language coverage.
- Start with a safe, representative sample. Include ordinary records, nested data, optional or inconsistent fields, and the rules that govern access. Keep extraction and review separate from any production write.
- Review the proposed schema and policies. Decide which inferred relationships make sense, where nested data should remain flexible, and whether each proposed RLS policy matches intended access. Investigate every flagged or surprising result.
- Design and test the load process. Specify type conversions, batching, repeatability, and validation checks. Compare expected and loaded records, then test application behavior and permissions in the destination.
- Choose a cutover plan. Decide when writes stop on the source, whether temporary coexistence is necessary, how authentication is handled, and how you would recover if validation fails.
The Supabase discussion also mentions migration-related community tools and a Firebase wrapper. Their presence in that discussion does not establish that they are compatible with Centauri Migrate or currently maintained; evaluate any alternative independently.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Who should consider it?
Centauri Migrate is most relevant to developers who want to explore an automated starting point for schema inference and security-policy translation, and who can review the results themselves. The author’s announcement specifically sought feedback from people willing to try read-only extraction and inference on real Firestore projects, including messy cases and redacted rules that might reveal gaps in the author’s fixtures.
If your migration requires a proven production process, a guaranteed rules conversion, or turnkey authentication and cutover, the announcement does not establish that Centauri Migrate provides those outcomes. Its value should be judged through a controlled trial and a project-specific review rather than the emulator test count alone.
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