Convert pg_dump to SQL Server
Upload a .backup or .dump file and get back a SQL Server SQL script you can load straight into your database. Types are preserved rather than flattened to text. Free, no registration, up to 10MB.
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CSV, Excel, SQLite, SQL, DBF (max 10 MB)
How your data is typed in SQL Server
Generated from the converter's own SQL Server type mapping — this is what it actually emits, not an example.
| Your data | SQL Server type |
|---|---|
| Whole number | BIGINT |
| Decimal (money) | DECIMAL(10,2) |
| Floating point | FLOAT |
| True / false | BIT |
| Date | DATE |
| Date and time | DATETIME2 |
| Short text | NVARCHAR(255) |
| Long text | NVARCHAR(MAX) |
| Binary data | VARBINARY(MAX) |
Working from a pg_dump file
pg_dump has enough flags to change what its output even contains, and a few of them decide whether the file in front of you is convertible at all. These are the ones that matter here.
- →pg_dump -Fc and a plain pg_dump > file.sql both work, and so does --inserts or --column-inserts, though neither is necessary: the default COPY output is read too.
- →--schema-only gives you the tables with no rows in them. That is a valid conversion, and almost never the one that was wanted.
- →--data-only is the opposite problem: rows arrive with no CREATE TABLE to name their columns, and the conversion says so rather than inventing names for them.
- →Ownership and privilege statements are dropped while the archive is unpacked, so a dump taken as one role converts without that role having to exist anywhere.
How names and bytes are written
mssql is the short name the drivers use - the ODBC DSN, SQLAlchemy's mssql+pyodbc, the container image. What it produces is ordinary T-SQL text, and the details worth checking before you run it are how it writes names and how it writes raw bytes.
- →Identifiers are wrapped in square brackets rather than double quotes, and a bracket inside a source name is turned into an underscore before the wrapping goes on: a column named Order]Date is created as [Order_Date], so a bracket in your data can never close a name early.
- →The identifier cap is 128 characters, high enough that almost every source name survives untouched - one that Oracle would have to cut at 30 arrives here whole.
- →Binary columns are VARBINARY(MAX) and their values are written as bare 0x hex literals, with no quotes around them and no conversion function wrapped over them.
Reading pg_dump
- →Reads pg_dump custom-format archives (.backup, .dump) — pgAdmin's default backup option — as well as plain SQL dumps.
- →Data written as COPY blocks is read, not just INSERT statements. COPY is pg_dump's default, so a reader that only understands INSERT returns your tables with none of their rows.
- →Primary keys declared by a later ALTER TABLE, which is how pg_dump writes them, are preserved.
Writing SQL Server
- →String literals carry the N prefix, so non-ASCII text survives whatever collation the database uses.
- →Timestamps become DATETIME2. T-SQL’s TIMESTAMP is a row-version counter, not a point in time.
- →Identity columns are wrapped in SET IDENTITY_INSERT so explicit key values load.
- →Statements are separated with GO in batches.
What you get
A ZIP containing dump.sql, plus a README with the exact command to load it. If anything about your data needed a judgement call, a _warnings.txt explains it.
Load this dump into SQL Server:
sqlcmd -S HOST -U USER -P PASSWORD -d DATABASE -i dump.sql
Notes:
- Text columns are NVARCHAR and literals carry the N prefix, so
non-ASCII data survives regardless of database collation.
- Timestamps are DATETIME2. T-SQL's TIMESTAMP type is a row
version, not a point in time.Questions
- Is converting pg_dump to SQL Server free?
- Yes. Files up to 10MB convert free with no account. There is a limit of five conversions per day per IP address.
- Will my pg_dump data keep its types in SQL Server?
- Yes — that is the point. Whole numbers, decimals, dates and booleans are mapped to real SQL Server types rather than everything becoming text. The mapping table above shows exactly what you get.
- Do you store my file?
- No. The file is written to a temporary directory, converted, and the directory is deleted as soon as your download has been sent.