TrackPMS connector

Set up the TrackPMS connector in Kaivo: authentication, configuration, the 76 BigQuery tables it syncs, and answers to common questions.

Written By Lauri Raivio

Last updated About 11 hours ago

Kaivo is a fully managed data platform that syncs your TrackPMS data into a Google BigQuery warehouse and keeps it up to date automatically. There is no pipeline to build and no infrastructure to run, so you can spend your time analysing your data from TrackPMS instead of moving it.

What is the TrackPMS connector

Sync your Track PMS property management data into BigQuery with Kaivo to analyse bookings, charges, and accounting.

CategoryOther
StatusGenerally available
AuthenticationAPI key
SetupSelf-service

Getting started with the TrackPMS connector

  1. Sign up for Kaivo and create a workspace.
  2. Connect your TrackPMS account.
  3. Choose which tables to sync.
  4. Wait for the initial sync to finish.
  5. Query your data in BigQuery or your favourite AI or BI tool.

Authenticating TrackPMS

Authenticate with your API Secret.

FieldDescription
API Secret

The Server API Secret shown alongside the Key when it is created. Copy it immediately, as it is shown only once.

Configuring the TrackPMS connector

When you set up the connector, you provide:

FieldDescription
Customer Domain

Your Track HS domain, e.g. yourcompany.trackhs.com — the part before /api/ in your account URL.

API Key

The Server API Key. In Track HS go to Configuration → Company Setup → API Keys and click “+ Server Key” to get the Key and Secret.

Tables and columns synced from TrackPMS

Kaivo syncs 76 tables from TrackPMS into a dedicated dataset in your BigQuery warehouse. Click any table to see its columns and types.

How the TrackPMS sync works

After the first load, Kaivo keeps your BigQuery warehouse up to date for you. Where TrackPMS supports it, each sync pulls only new and changed records so it stays fast; otherwise it refreshes the whole table. Every record keeps its original ID, so you won't get duplicate rows.

Frequently asked questions

How long does the initial sync take for TrackPMS?

It depends on how much history is in your TrackPMS account. Most initial syncs finish within minutes, while large accounts can take a few hours. After that, syncs only fetch new and changed records, so they're much faster.

Can I sync only some tables or columns?

Yes. You pick which tables to sync when you set up the connection and can change the selection later. Tables you don't select are never copied to your warehouse.

What happens when TrackPMS's schema changes?

New fields are never added automatically. You choose which fields to sync, so data you haven't selected (sensitive personal data, for example) never lands in your warehouse. When a new field appears, it becomes available for you to add. What happens to removed or renamed fields depends on a table's sync mode: full-refresh tables always match what's currently in TrackPMS, so dropped fields disappear, while incremental tables keep their existing columns and history, so an old field stays and newly added fields fill in over time.

How do I handle GDPR or data deletion requests?

Your data lives in your own Kaivo-managed BigQuery warehouse, so the most direct option is to delete or anonymise specific records right in BigQuery. If you delete data in TrackPMS instead, full-refresh tables drop it on the next sync, while incremental tables keep it, so you would remove the row in BigQuery or ask us to run a full refresh. To remove everything, delete the TrackPMS connector in Kaivo and all of its synced data is deleted with it.

Common use cases for TrackPMS data

Revenue and charges

Use charges and accounting_transactions to track revenue and fees over time.

Booking analysis

Join contacts with charges to understand guest activity and spend.

Accounting reporting

Use accounting_accounts and accounting_bills to report on your books.

Use TrackPMS data in your AI and BI tools

Once TrackPMS data lands in your Kaivo-managed BigQuery warehouse, you can explore it with AI tools or any BI tool that connects to BigQuery. Here's how the most common destinations work with TrackPMS data.

Claude

Use Kaivo's MCP server to give Claude secure, workspace-scoped access to your data. Setup guide →

Power BI

Microsoft's BI tool with a native BigQuery connector. Supports direct query and scheduled refresh. Setup guide →

Data Studio

Free Google BI tool with native BigQuery support. One-click connection to your Kaivo warehouse; great for SMB teams on Google Workspace. Setup guide →

Tableau

The premium analytics standard, with native BigQuery integration. Setup guide →

Google Sheets

Use Connected Sheets to query BigQuery directly from a spreadsheet, with no SQL. Setup guide →

Excel

Connect via Power Query's BigQuery connector. Setup guide →

Metabase

Open-source BI tool with strong BigQuery support. Setup guide →

See our pricing page for TrackPMS connector pricing and plan details.