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If you have ever used a focused database tool like TablePlus or Sequel Ace, you already know the value of a clean, single-connection interface. Navicat Premium 17 takes that idea and broadens the canvas: it connects to several database types from one window, which suits anyone who regularly moves between, say, a local SQLite project and a remote MySQL or PostgreSQL server.
Compatibility: what your Mac needs
- macOS 11 (Big Sur) or later
- Runs natively on both Intel and Apple Silicon processors
Bug fixes and a broad toolkit: query builder to job scheduler
The current release, 17.3.8, arrived with bug fixes and stability improvements. Beneath that, the toolkit remains broad: a query builder, an SQL console, a minifier, and a job scheduler. You can import and export data as XLS, CSV, TXT, DBF, or XML, set up data synchronisation and migration between databases, and configure access rights through the security panel. For MySQL, SQLite, Oracle, and PostgreSQL, the editor handles stored procedures, events, triggers, functions, and views. A report wizard and a database-wide search tool round out the set. Interface languages include English, French, German, Japanese, Spanish, Polish, Russian, Korean, and both Simplified and Traditional Chinese.
Plays well with spreadsheets: CSV and XLS import without fuss
Navicat Premium does not demand that you abandon the rest of your stack. It reads CSV and XLS exports from spreadsheet applications without fuss, and the SQL console plays well with scripts you may already keep in a TextEdit or CotEditor window. If your workflow involves a local development server like MAMP, you can point Navicat at its MySQL or PostgreSQL socket in seconds. The SSH Tunnel support means it slots neatly into a remote-server routine alongside a terminal emulator: you configure the tunnel once, then query production databases without opening a separate SSH session each time.
On the macOS side, the app respects the system spell-checker in the SQL editor, and you can drag database objects between its windows and other editors that accept plain-text drops. For those of us who use a clipboard manager, copying a connection string or a query result row feeds straight into the manager’s history, ready to paste into a configuration file or a colleague’s chat window. The job scheduler can export reports to a watched folder, where a Hazel rule or a Folder Action might pick them up and pass them along to a backup script or a notification trigger. It is a quiet but practical kind of interoperability.
Toggling between MySQL and Snowflake: one client instead of three
Consider someone who consults for two small e‑commerce teams. One runs MySQL behind a legacy PHP shop; the other has moved to PostgreSQL and keeps analytics in Snowflake. Without a multi‑database client, this person toggles between three separate applications, each with its own connection library and keyboard shortcuts. With Navicat Premium, the morning begins by opening a single workspace. All three connections are listed in the left pane. A quick search locates the stored procedure that needs adjustment on the MySQL side; a second tab opens the Snowflake query builder to pull last week’s order aggregates. By mid‑morning, the engineer has exported a CSV summary from PostgreSQL, imported it into the MySQL staging table via the wizard, and scheduled a synchronisation task to run after the next inventory update — all without leaving one application or re‑entering credentials.
Investigating a slow report: PostgreSQL to SQLite in the late afternoon
Imagine a late‑afternoon session, the light in Ikebukuro already fading to a soft grey. You have been asked to investigate a slow-running report on the PostgreSQL server and to bring a fresh copy of the product catalogue into the SQLite database that powers a mobile app prototype.
- You launch Navicat Premium and unlock your stored connection list. The PostgreSQL and SQLite icons are right next to each other in the connection pane.
- Double‑clicking the PostgreSQL connection opens a query tab. You paste the slow report query from a note you kept in Bear and run it with
Explainto see the query plan. - While that result sits on screen, you switch to the SQLite connection. The Data Transfer tool is under the Tools menu: you set the source as the remote PostgreSQL catalogue table and the destination as the local SQLite file.
- A few field‑mapping adjustments are needed — the SQLite schema uses slightly different column names for the price fields. You drag the source columns onto their destination matches and click Start.
- As the transfer runs, you return to the PostgreSQL tab. The query plan reveals a missing index. You write the
CREATE INDEXstatement in the SQL console, execute it, and re‑run the original report query to confirm the improvement. - With the transfer complete, you open the SQLite table in the data viewer, spot‑check a few rows, and close the connection. The whole sequence took perhaps twelve minutes.
A full workflow: migrating a legacy MySQL schema to PostgreSQL
This is a task that appears with some regularity in a developer’s life: an older project needs to move from MySQL to PostgreSQL without losing data or breaking the application logic. Navicat Premium turns what could be a weekend script‑writing exercise into a structured afternoon job.
Start with the Structure Synchronisation tool. Point it at the MySQL source database and a fresh, empty PostgreSQL target database. The tool compares the two schemas and produces a script that recreates every table, index, and constraint in PostgreSQL syntax. You review the generated SQL — paying particular attention to auto‑increment columns, which need to become SERIAL types, and to any TINYINT columns that should map to SMALLINT. A few manual edits in the built‑in editor, and the script is ready. Run it, and the skeleton of the new database appears on the PostgreSQL side.
Next, the Data Transfer wizard. Select all tables from the MySQL source, set the PostgreSQL database as the target, and let the wizard handle the row‑by‑row copying. Navicat preserves Unicode throughout, which matters when your production data contains Japanese product names or French address fields. For large tables, you can pause the transfer, check the row count, and resume — a small courtesy that a command‑line script rarely offers.
Finally, re‑attach the stored procedures and triggers. The migration tool does not always convert these perfectly between dialects, so you copy each routine from the MySQL function editor, paste it into a fresh PostgreSQL query tab, and adjust the syntax: delimiter handling, parameter styles, and exception blocks all need attention. Navicat’s code editor highlights keywords for both dialects, which makes the translation less of a guess. Once every routine compiles, you run the application’s test suite against the new database. The whole process, including verification, fits into an afternoon with room for a coffee break — and the only other application you opened was the terminal to restart the application server. For those searching for a navicat premium torrent or a navicat for mac solution, this kind of multi‑dialect workflow is precisely where the tool earns its keep.
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