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Migrate from Railway

Railway provides managed PostgreSQL databases as part of its application hosting platform. Since Railway runs standard PostgreSQL, migration to DB9 uses the same pg_dump / import workflow as any PostgreSQL migration.

For the general PostgreSQL migration guide, see Migrate from PostgreSQL.

  • SQL compatibility — DB9 supports the same DML, DDL, joins, CTEs, window functions, and subqueries you use in Railway PostgreSQL. Most queries work without changes.
  • PostgreSQL drivers — Any driver that connects via pgwire (node-postgres, psycopg, pgx, JDBC) works with DB9.
  • ORM compatibility — Prisma, Drizzle, SQLAlchemy, TypeORM, Sequelize, Knex, and GORM are tested and supported.
  • Data types — Common types (TEXT, INTEGER, BIGINT, BOOLEAN, TIMESTAMPTZ, UUID, JSONB, arrays, vectors) work identically.
AreaRailway PostgreSQLDB9
Connection stringpostgresql://postgres:pass@host.railway.app:port/railwaypostgresql://<tenant_id>.<role>@pg.db9.io:5433/postgres
PortVaries per deployment5433
Database namerailway (default)Always postgres
Connection poolingNo built-in poolerNo built-in pooler — use application-side pooling
ExtensionsMost community extensions availableFixed built-in set: http, vector, fs9, pg_cron, embedding, uuid-ossp, parquet, zhparser — plus hstore, pgcrypto and plpgsql as metadata-only shims
ReplicationLogical replication supportedLogical decoding from replication slots; no CREATE SUBSCRIPTION
Table partitioningSupportedPARTITION BY RANGE on a timestamp or timestamptz key only
LISTEN/NOTIFYSupportedSupported over pgwire (delivered on commit); the stateless HTTP SQL API can NOTIFY, but a LISTEN there is accepted and never receives anything
Deployment couplingTight integration with Railway services via $DATABASE_URLStandalone — connect from any platform

Review the Compatibility Matrix for the full list of supported and unsupported features.

  • Access to your Railway project and database credentials
  • Railway CLI installed (npm install -g @railway/cli) or connection string from the Railway dashboard
  • pg_dump installed locally (comes with PostgreSQL client tools)
  • DB9 CLI installed: curl -fsSL https://db9.ai/install | sh
  • A DB9 account: db9 create --name my-app to create your target database
  1. Get Your Railway Connection String

    Option A: Railway dashboard

    Go to your project → PostgreSQL service → Variables tab → copy DATABASE_URL.

    Option B: Railway CLI

    Terminal
    railway login
    railway link # Link to your project
    railway variables get DATABASE_URL

    The connection string looks like:

    postgresql://postgres:password@host.railway.app:12345/railway
  2. Export from Railway

    Use pg_dump with the Railway connection string.

    Schema and data (plain SQL format)

    Terminal
    pg_dump --no-owner --no-privileges --no-comments \
    "postgresql://postgres:password@host.railway.app:12345/railway" \
    > export.sql

    Schema only

    Terminal
    pg_dump --schema-only --no-owner --no-privileges \
    "postgresql://postgres:password@host.railway.app:12345/railway" \
    > schema.sql

    Flags explained:

    • --no-owner — omits ALTER ... OWNER TO statements that reference Railway-specific roles
    • --no-privileges — omits GRANT/REVOKE statements
    • --no-comments — omits COMMENT ON statements

    Use plain SQL format (default): the cleanup checks in step 3 read and edit the file as text, which a custom (-Fc) or directory (-Fd) archive is not.

  3. Clean the Export

    The pg_dump output may contain statements that DB9 does not support. Remove or comment out:

    • CREATE EXTENSION for extensions DB9 does not have — remove any CREATE EXTENSION whose name is not one of http, uuid-ossp, fs9, pg_cron, parquet, zhparser, vector, embedding. Any other name raises 42704 extension is not available and stops the import there — except hstore, which DB9 accepts. Remove it anyway: DB9 does not support hstore values, and while it is registered pg_dump cannot dump your DB9 database. Two more names, pgcrypto and plpgsql, are accepted and can stay — but read the caution below before you rely on either.
    • Schema-qualified vector names — keep vector, but rewrite how the dump names it rather than removing it. pg_dump writes the type, its operator classes and its operators as public.vector(1536), public.vector_cosine_ops and OPERATOR(public.<=>), which DB9 rejects — the type with 42704 type "public.vector" does not exist — so that table and its rows do not load. Strip the qualifier in schema.sql, the file you import below (and in export.sql if you load that in one pass): sed -E -i.bak -e 's/(^|[^[:alnum:]_])public\.vector([^[:alnum:]_]|_(l2|ip|cosine)_ops|$)/\1vector\2/g' -e 's/OPERATOR\(public\.(<->|<#>|<=>)\)/\1/g' schema.sql — see Migrate from PostgreSQL for what it changes.
    • CREATE PUBLICATION / CREATE SUBSCRIPTION — DB9 cannot subscribe to logical replication (CREATE SUBSCRIPTION fails with 42601), and the source’s publications belong to its own replication setup. Remove both.
    • Table partitioning — DB9 partitions only by RANGE on a timestamp or timestamptz key, and it cannot parse the ALTER TABLE ... ATTACH PARTITION statements pg_dump writes for each partition (42601). Recreate a qualifying table by hand as described in Migrate from PostgreSQL, or merge its partitions into one table.

    A quick way to identify issues:

    Terminal
    # Check for unsupported extensions
    grep "CREATE EXTENSION" export.sql
    # Check for partitioning
    grep -i "PARTITION" export.sql
    # Check for replication
    grep -i "PUBLICATION\|SUBSCRIPTION" export.sql

    Row-level security

    Keep your row-level security statements. ENABLE / FORCE ROW LEVEL SECURITY and CREATE POLICY import from a pg_dump file, and DB9 enforces the policies for roles that are not the table owner. See Row-Level Security. One thing needs attention:

    • Roles. pg_dump does not export roles, and a policy that names one (CREATE POLICY ... TO app_user) fails with 42704 role "app_user" does not exist. Create each role in DB9 after step 4 and before step 5. For example: psql "$(db9 db connect my-app --output quiet)" -c "CREATE ROLE app_user LOGIN PASSWORD '<password>'". --no-privileges also leaves out the grants, so grant those roles their table and sequence privileges again after the import.
  4. Create the DB9 Database

    Terminal
    db9 create --name my-app --show-connection-string

    This returns immediately with the connection string and credentials. Save them for your application config.

  5. Import into DB9

    Import over pgwire with psql in two passes: schema.sql from step 2 while the tables are still empty, then the data streamed straight from Railway. Run the step 3 checks against schema.sql, remove what they flag and apply the vector rewrite before importing it.

    Terminal
    # Import the schema, with the statements flagged in step 3 removed
    psql "$(db9 db connect my-app --output quiet)" -f schema.sql
    # Then stream the data from Railway into DB9
    pg_dump --data-only --no-owner \
    "postgresql://postgres:password@host.railway.app:12345/railway" \
    | psql "$(db9 db connect my-app --output quiet)"

    DB9 supports COPY in CSV and TEXT formats over pgwire. psql keeps going after an error, so scan its output for ERROR: lines.

  6. Update Your Application

    Connection string

    Replace the Railway connection string with DB9’s:

    Diff
    DATABASE_URL=postgresql://postgres:password@host.railway.app:12345/railway
    DATABASE_URL=postgresql://a1b2c3d4e5f6.admin@pg.db9.io:5433/postgres?sslmode=require

    Key differences:

    • Username: DB9 uses <tenant_id>.<role> format (e.g., a1b2c3d4e5f6.admin)
    • Port: 5433
    • Database: Always postgres
    • Host: pg.db9.io

    Railway service variables

    If your Railway services reference $DATABASE_URL as a shared variable, update the variable in each service that connects to the database, or set a new variable pointing to DB9 and update your code to use it.

    Connection pooling

    Railway does not include a built-in connection pooler, so your application likely already handles pooling. Verify your pool settings work with DB9:

    TypeScript
    const pool = new pg.Pool({
    connectionString: process.env.DATABASE_URL,
    max: 10,
    idleTimeoutMillis: 30000,
    });

    For ORMs, see the integration guides: Prisma, Drizzle, SQLAlchemy.

  7. Validate

    Check schema

    Terminal
    db9 db dump my-app --ddl-only

    Compare the output with your original schema to confirm all tables, indexes, and constraints were created.

    Check row counts

    Terminal
    db9 db sql my-app -q "SELECT count(*) FROM users"
    db9 db sql my-app -q "SELECT count(*) FROM orders"

    Compare row counts against the source Railway database.

    Run your test suite

    Terminal
    DATABASE_URL="$(db9 db connect my-app --output quiet)" npm test

    Check for unsupported features

    If your tests fail, check these common differences:

    • SERIALIZABLE isolation — DB9 does not implement SERIALIZABLE. Requesting it on the wire protocol raises a WARNING and silently downgrades the transaction to REPEATABLE READ, so it will not fail loudly. Audit transactions that relied on serializability and add explicit SELECT ... FOR UPDATE locks or unique constraints. At the downgraded level, the transaction that loses a SELECT ... FOR UPDATE race fails at COMMIT with 40001 rather than at the statement, so make sure your retry logic covers COMMIT as well; a unique-constraint conflict fails the INSERT with 23505, as in PostgreSQL. See Transactions
    • LISTEN/NOTIFY — supported over a direct pgwire connection; the stateless HTTP SQL API can NOTIFY, but a LISTEN there is accepted and never receives anything
    • Advisory locks — available, but coordination is node-local. For strict row-level coordination, use SELECT ... FOR UPDATE

If you need to revert:

  1. Your Railway database is unchanged — switch DATABASE_URL back to the Railway connection string.
  2. If you need to export data created in DB9 back to Railway:
Terminal
# Export from DB9
db9 db dump my-app -o db9-export.sql
# Import to Railway
psql "postgresql://postgres:password@host.railway.app:12345/railway" \
-f db9-export.sql

The db9 db dump command outputs plain SQL. Its limit of 50,000 rows or 16 MB applies to the whole database, not to each table: a larger database is refused with Error 413 and no file is written. For larger databases, use pg_dump 17 or newer instead — see the PostgreSQL guide’s rollback plan for the command, the cases it cannot dump, and the extra step for vector columns — or use psql to stream individual tables with COPY.

  • No zero-downtime migration — DB9 cannot subscribe to logical replication (CREATE SUBSCRIPTION is not supported), so you cannot stream changes from Railway into it in real time. Plan a maintenance window or accept a brief cutover period.
  • Extension gaps — If your Railway database uses extensions not in DB9’s built-in set (e.g., PostGIS, pg_trgm, ltree), those features will not be available and CREATE EXTENSION raises 42704 at import time. pgcrypto is the exception worth singling out: DB9 accepts the statement but registers no functions, so crypt() and gen_salt() fail only when something calls them. Check your CREATE EXTENSION statements.
  • Import with psql, not db9 db sql -f — db9 db sql -f cannot run a pg_dump file, with or without --direct, and the HTTP SQL API it uses by default also rejects requests over about 2 MB and gives up after about 15 seconds. Import over pgwire, schema first.
  • Railway integration loss — Railway’s tight coupling between services (automatic DATABASE_URL injection, private networking) will not apply to DB9. Update each service’s environment variables manually.