Dashboards in minutes

Connect BigQuery to Power BI: Dashboards in Minutes

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Connect BigQuery to Power BI

How to visualize BigQuery data in Power BI? Kondado makes it simple for business teams to replicate data from BigQuery into Power BI without writing code or managing complex infrastructure. You connect your BigQuery account as a data source, select the specific information you want to analyze from your available tables and views, and Kondado automatically prepares everything for visualization. Your marketing and operations teams can then focus on building insightful dashboards that drive strategic decisions instead of worrying about technical setup or manual data preparation.

1
available pipeline
  • ✓No code, no spreadsheets
  • ✓Auto-refreshed data
  • ✓14-day free trial
Connect BigQuery now →

Try out all the features for free for 14 days

With Kondado, you eliminate the need for technical specialists to move your BigQuery data into Power BI. The platform handles all the complexity behind the scenes while giving you complete control over which data points to replicate and how often they should update. This means your reports always reflect current business conditions without requiring manual exports or spreadsheet manipulation.

Kondado connects BigQuery directly to Power BI with no intermediate databases required, allowing business users to create automated reports that refresh every 5 minutes, hourly, or daily based on specific analytical needs.

Our prices start from $19 USD/month, and you can try Kondado for free for 14 days with no credit card required

Try out all the features for free for 14 days

Available data

Dynamic data

Kondado automatically reads the schema of your BigQuery. All tables, views, and fields available in your account are extracted without manual configuration.

1
available pipeline
∞
Auto-refresh

What Kondado extracts

Tabelas e Views
Kondado automatically maps all tables and views available in your database
Full docs on the wiki → Start free trial →

Try out all the features for free for 14 days

Combine your BigQuery Tables and Views pipeline with Power BI to unlock powerful business intelligence for your organization. By replicating your BigQuery information into Power BI, marketing teams can track campaign performance metrics across historical datasets, while operations teams monitor inventory levels and sales trends through interactive dashboards. You can visualize customer behavior patterns, analyze revenue streams by region, or create executive summaries that update automatically without manual intervention. The Tables and Views pipeline automatically maps all your available database objects, making it easy to select exactly which customer records, transaction histories, or analytical views to include in your reports. This combination turns your BigQuery data storage into actionable visual insights that help teams make faster, data-driven decisions every day.

Try out all the features for free for 14 days

How to create BigQuery dashboards in Power BI

Visualize your data automatically — no spreadsheet exports or custom scripts.

1
Connect BigQuery as data source

Add BigQuery as a data source in Kondado by entering your Google Cloud credentials and selecting your project. The platform will automatically display available Tables and Views pipelines for you to choose from.

2
Select Power BI destination

Choose Power BI as your destination and configure how you want to replicate your BigQuery data. Kondado establishes a direct connection that eliminates the need for intermediate storage or manual file exports.

3
Build dashboards and configure refresh

Create your reports in Power BI using the replicated data and set your preferred update schedule, such as every 5 minutes or daily. Your dashboards will stay current automatically, giving your team reliable insights for decision-making.

Access BigQuery data in Power BI and combine it with dozens of other data sources

If the source you want is not listed, drop us a chat message. We love to add new sources!

55pbx
55pbx
ActiveCampaign
ActiveCampaign
Google Ads
Google Ads
Amazon S3
Amazon S3
api4com
api4com
Apple App Store
Apple App Store
ASAAS
ASAAS
AWS CloudWatch Metrics
AWS CloudWatch Metrics
Azure Table Storage
Azure Table Storage
BigQuery
BigQuery
Bing
Bing
Bitrix24 CRM
Bitrix24 CRM
Bling!
Bling!
Blip (take)
Blip (take)
ClickUp
ClickUp
Clockify
Clockify
ContaAzul
ContaAzul
Criteo
Criteo
E-goi
E-goi
EADBOX
EADBOX
Exact Sales
Exact Sales
Facebook Ads
Facebook Ads
Facebook
Facebook
Fatura Simples
Fatura Simples
Freshdesk
Freshdesk
FTP
FTP
Google Analytics GA4
Google Analytics GA4
Google Cloud Storage
Google Cloud Storage
Google Play Store
Google Play Store
Google Search Console
Google Search Console
Google Sheets
Google Sheets
Granatum
Granatum
Hi Platform
Hi Platform
Hotmart
Hotmart
Hubspot
Hubspot
Huggy
Huggy
InfluxDB v1
InfluxDB v1
Infusionsoft (Keap)
Infusionsoft (Keap)
Instagram Ads
Instagram Ads
Instagram
Instagram
Jira
Jira
Linkedin
Linkedin
Loja Integrada
Loja Integrada
MailChimp
MailChimp
Mandrill
Mandrill
Mautic
Mautic
Meetime
Meetime
Mercado Libre
Mercado Libre
Meta Ads
Meta Ads
Microsoft Ads
Microsoft Ads
Microsoft Advertising
Microsoft Advertising
Mixpanel
Mixpanel
monday.com
monday.com
MongoDB
MongoDB
Movidesk
Movidesk
MySQL (& MariaDB)
MySQL (& MariaDB)
NectarCRM
NectarCRM
Notion
Notion
Nuvemshop (Tiendanube)
Nuvemshop (Tiendanube)
Olist Tiny
Olist Tiny
Omie
Omie
Oracle
Oracle
Pagar.me
Pagar.me
Pinterest Ads
Pinterest Ads
Pipedrive
Pipedrive
Pipefy
Pipefy
PipeRun
PipeRun
Ploomes
Ploomes
PostgreSQL
PostgreSQL
Pushwoosh
Pushwoosh
RDStation CRM
RDStation CRM
RDStation
RDStation
Recruiterbox
Recruiterbox
Salesforce Marketing Cloud (Exact Target)
Salesforce Marketing Cloud (Exact Target)
Salesforce
Salesforce
SenseData
SenseData
Shopify
Shopify
SQLServer
SQLServer
Stilingue
Stilingue
Superlogica
Superlogica
Sympla
Sympla
Taboola
Taboola
Tangerino
Tangerino
TikTok Ads
TikTok Ads
TikTok Organic
TikTok Organic
Tiny ERP
Tiny ERP
Toggl
Toggl
Tray
Tray
Trello
Trello
Twilio
Twilio
VNDA
VNDA
VTEX
VTEX
Wake Commerce
Wake Commerce
Webhook
Webhook
Wootric
Wootric
WordPress
WordPress
X Ads
X Ads
YouTube
YouTube
Zeeng
Zeeng
Zendesk Chat (Zopim)
Zendesk Chat (Zopim)
Zendesk
Zendesk

Visualize BigQuery data in other BI tools

If the software you need is not listed, drop us a messagem. You can use almost every tool

Airtable
BigQuery > Airtable
Alteryx
BigQuery > Alteryx
Amazon Quicksight
BigQuery > Amazon Quicksight
BIMachine
BigQuery > BIMachine
Cortex
BigQuery > Cortex
Data Studio
BigQuery > Data Studio
Geckoboard
BigQuery > Geckoboard
Grafana
BigQuery > Grafana
IBM Cognos Analytics
BigQuery > IBM Cognos Analytics
Klipfolio
BigQuery > Klipfolio
Looker Studio
BigQuery > Looker Studio
Looker
BigQuery > Looker
Looqbox
BigQuery > Looqbox
Metabase
BigQuery > Metabase
Microstrategy
BigQuery > Microstrategy
Pentaho
BigQuery > Pentaho
Power BI
BigQuery > Power BI
Qlik Cloud Analytics
BigQuery > Qlik Cloud Analytics
Qlik Sense
BigQuery > Qlik Sense
Qlik
BigQuery > Qlik
QlikView
BigQuery > QlikView
Redash
BigQuery > Redash
Superset
BigQuery > Superset
Tableau
BigQuery > Tableau
BI TOTVS
BigQuery > BI TOTVS
Zoho Analytics
BigQuery > Zoho Analytics

Related on Kondado

Hundreds of data-driven companies trust Kondado
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Why Kondado?

Focus on extracting value from your data and leave the rest to us

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Wherever you need

With the same platform, you send data to AI (Claude/ChatGPT via MCP), reports, spreadsheets, databases, data warehouses, and data lakes. ETL and ELT

Learn More About Our Platform →
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From wherever you need

Data from over 80 sources for Marketing, Ecommerce, ERPs, Customer Service, Finance, Databases, and much more

Learn More About Our Data Sources →
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Predictable pricing

No surprise invoices, pick a plan and change it anytime

Check out our plans →

Frequently Asked Questions (FAQ)

Answers about visualizing BigQuery data in Power BI automatically

How do I connect BigQuery to Power BI using Kondado? ▼
Start by adding BigQuery as a data source in your Kondado account and authenticate with your Google credentials. Then select Power BI as your destination and choose which data to replicate for visualization.
What types of dashboards can I build with BigQuery data in Power BI? ▼
You can create custom dashboards showing sales performance, marketing campaign analytics, customer segmentation, or operational metrics. Since Kondado replicates your BigQuery information directly, you have flexibility to build any report template your business requires.
How often does my BigQuery data update in Power BI? ▼
You configure the refresh schedule based on your business needs, choosing intervals such as every 5 minutes, 15 minutes, hourly, or daily. This ensures your reports reflect recent business activity without requiring manual updates.
Can I share Power BI dashboards built with BigQuery data across my team? ▼
Yes, once your data flows into Power BI, you can distribute reports to stakeholders using Power BI's standard sharing features. Your colleagues will see the same updated metrics you see, ensuring everyone works with consistent information.
Do I need technical skills to set up the BigQuery to Power BI connection? ▼
No coding is required to configure the connection. Kondado provides a straightforward interface where you select your data source and destination, then choose which information to replicate. Business users can set this up in minutes without involving IT departments.
What specific KPIs should I track when visualizing BigQuery data in Power BI? ▼
Common metrics include revenue trends, customer acquisition costs, inventory turnover, and campaign conversion rates. Since you control which BigQuery data to replicate, you can focus on the specific indicators that matter most for your business decisions.
Are there pre-built report templates available for BigQuery to Power BI? ▼
Kondado focuses on enabling custom dashboard creation rather than providing pre-built templates. This approach gives you complete flexibility to design reports that match your unique business processes and analytical requirements.
Can I send BigQuery data to other tools besides Power BI? ▼
Yes, Kondado supports multiple destinations. You can replicate your BigQuery data to Looker Studio, Google Sheets, or PostgreSQL, depending on your visualization and analysis needs.

Try out all the features for free for 14 days