Next connector
Set up the Next connector in Kaivo: authentication, configuration, the 54 BigQuery tables it syncs, and answers to common questions.
Written By Lauri Raivio
Last updated About 3 hours ago
Kaivo is a fully managed data platform that syncs your Next 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 Next connector
Sync your Next project and finance data into BigQuery with Kaivo to report on project profitability, booked hours, and invoicing in one place.
Getting started with the Next connector
- Sign up for Kaivo and create a workspace.
- Connect your Next account.
- Choose which tables to sync.
- Wait for the initial sync to finish.
- Query your data in BigQuery or your favourite AI or BI tool.
Authenticating Next
Authenticate with your Access Token.
Prerequisites
The Next Project API is not open, so access has to be requested from Next before this connector can be used.
- Email support@next-tech.com and ask them to enable the Next Project API, giving Kaivo as the integrator. Next will ask for your customer number, company name and contact details, and whether the request is for your test or production environment.
- Ask Next to send the resulting credentials to support@kaivo.io. We exchange them for the access token below.
The access token does not expire. It stays valid until the underlying API key is deleted in Next Project.
Need help? Reach our team via the chat in the bottom-right corner.
Tables and columns synced from Next
Kaivo syncs 54 tables from Next into a dedicated dataset in your BigQuery warehouse. Click any table to see its columns and types.
How the Next sync works
After the first load, Kaivo keeps your BigQuery warehouse up to date for you. Where Next 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 Next?
It depends on how much history is in your Next 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 Next'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 Next, 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 Next 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 Next connector in Kaivo and all of its synced data is deleted with it.
Common use cases for Next data
Project profitability
Use Project Overviews to compare budgeted and booked cost, revenue, and contribution margin per project.
Budget and forecast
Use Budgets and Forecast to follow percentage of completion and remaining cost against each budget revision.
Hours and labour cost
Use Booked Hours to break down hours, cost, and revenue by employee, profession, and work order.
Invoicing and cash flow
Use Customer Invoices and Supplier Invoices to track due dates, payments, and revenue earned but not yet invoiced.
Use Next data in your AI and BI tools
Once Next 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 Next 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 Next connector pricing and plan details.