Productive connector

Set up the Productive connector in Kaivo: authentication, configuration, the 57 BigQuery tables it syncs, and answers to common questions.

Written By Lauri Raivio

Last updated About 2 hours ago

Kaivo is a fully managed data platform that syncs your Productive 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 project management data instead of moving it.

What is the Productive connector

Sync your Productive agency data into BigQuery with Kaivo to analyse projects, time, and profitability in one place.

CategoryProject Management
StatusGenerally available
AuthenticationAPI key
SetupSelf-service

Getting started with the Productive connector

  1. Sign up for Kaivo and create a workspace.
  2. Connect your Productive 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 Productive

Authenticate with your API Key.

FieldDescription
API Key

Your Productive API token. Generate one under Settings → API integrations in your Productive account.

Configuring the Productive connector

When you set up the connector, you provide:

FieldDescription
Organization ID

Your Productive organization ID, shown on the Settings → API integrations page (app.productive.io//settings/api-integrations).

Tables and columns synced from Productive

Kaivo syncs 57 tables from Productive into a dedicated dataset in your BigQuery warehouse. Click any table to see its columns and types.

How the Productive sync works

After the first load, Kaivo keeps your BigQuery warehouse up to date for you. Where Productive 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 Productive?

It depends on how much history is in your Productive 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 Productive'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 Productive, 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 Productive 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 Productive connector in Kaivo and all of its synced data is deleted with it.

Common use cases for Productive data

Project profitability

Use bookings and deals with companies to compare billed work against budgets.

Time and utilisation

Join activities with bookings to measure how time is spent.

Pipeline reporting

Use deals and deal_statuses to track pipeline and conversion.

Use Productive data in your AI and BI tools

Once Productive 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 Productive 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 Productive connector pricing and plan details.