SQL Server to PostgreSQL migration tool with schema conversion built in

Convert the schema first, backfill each table once from a replica, then keep both databases in step with incremental loads while you port the application. Running the two in parallel for a couple of weeks is what lets you compare totals and cut over on a weekday instead of a weekend.

INT stays INT, NVARCHAR becomes VARCHAR(n) or TEXT, and BIT becomes BOOLEAN. The four worth deciding by hand are MONEY, which should become NUMERIC(19,4), DATETIME2, which becomes TIMESTAMP(p), DATETIMEOFFSET, which is the only type that earns TIMESTAMPTZ, and UNIQUEIDENTIFIER, which becomes a native UUID.

Usually identifier case. PostgreSQL folds unquoted identifiers to lowercase, so a column created as CustomerID is physically customerid unless the DDL quoted it. Fold every name to lowercase at conversion time and lowercase the application references, rather than quoting mixed case forever.

PostgreSQL has no license fee at all. Microsoft lists SQL Server 2022 Enterprise at $15,123 per two-core pack and Standard at $3,945, so a modest 16-core Enterprise instance carries roughly $121,000 in list licensing before support. You still pay for hardware, hosting, and people either way.

Partly. Tables, indexes, constraints, and views convert mechanically, but T-SQL and PL/pgSQL differ enough that procedural code needs a human. Budget your migration timeline around the stored procedures and reports, not the data volume, because bulk loading rows is the fast part.

Read only rows that changed since the last run using an indexed ModifiedDate watermark, or read the CDC change tables when you also need deletes, then upsert on the primary key. Advance the stored watermark only after the upsert commits, so a failed run repeats its window instead of skipping rows.

The SQL Server to PostgreSQL connector from Adapters converts your schema, maps every T-SQL data type to its PostgreSQL equivalent, and then keeps both databases in step with incremental loads until you are ready to cut over. It runs the migration as a parallel sync rather than a one-shot dump, so you can prove the row counts match before you move the application.

Yes. This SQL Server to Postgres connector ships prebuilt: the field mapping is wired the moment you pick the pair, transforms are included, and the first sync can run within minutes. No code or engineering sprint required.

Pricing is flat and monthly: Starter at $49, Growth at $149, Scale at $399. Every plan includes this pair, visual field mapping, and per-record logs. There are no per-task or per-row fees, so the bill stays the same as volume grows.

Hourly on Starter, every 5 minutes on Growth, and down to every minute on Scale. Failed records retry automatically with backoff, and alerting plus a full per-record log come standard on every run.

No. Fields are auto-mapped the moment you pick the pair, and you can rewire any mapping visually before the first sync. Identifiers fold to lowercase snake_case on the way across so you never have to double quote a mixed-case column in PostgreSQL again. MONEY and SMALLMONEY become NUMERIC(19,4) rather than the PostgreSQL MONEY type, which is locale dependent. DATETIME becomes TIMESTAMP(3), DATETIME2 keeps its declared precision as TIMESTAMP(p), and DATETIMEOFFSET is the only type that becomes TIMESTAMPTZ. BIT becomes BOOLEAN, UNIQUEIDENTIFIER becomes a native UUID, NVARCHAR(MAX) and the deprecated NTEXT become TEXT, VARBINARY becomes BYTEA, and incremental runs read a ModifiedDate watermark or the CDC change tables, then upsert on the primary key so a replayed batch never duplicates a row.