Dashboards in minutes

Connect BigQuery to Amazon Quicksight: Dashboards in Minutes

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Connect BigQuery to Amazon Quicksight

How do you transform complex BigQuery datasets into clear visual reports that drive business decisions? With Kondado, you connect your BigQuery account as a data source and choose Amazon Quicksight as your destination. The platform replicates your database information on a configurable schedule, ensuring your sales, marketing, and operations teams always work with current metrics instead of outdated spreadsheets. No coding knowledge is required: simply select which data you want to visualize and let Kondado handle the automated updates while you focus on analyzing trends, identifying growth opportunities, and optimizing your daily operations based on fresh data insights.

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

Kondado offers a direct integration between BigQuery and Amazon Quicksight that automatically maps all available tables and views, enabling business users to create visual reports without intermediate databases, manual exports, or complex technical configuration.

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

The Tables and Views pipeline automatically makes your BigQuery customer records, sales transactions, and marketing analytics available for visualization in Amazon Quicksight. You can build dashboards tracking customer lifetime value, monthly recurring revenue, or campaign conversion rates without writing any SQL queries. Operations teams can monitor inventory levels and logistics data alongside financial metrics to identify cost-saving opportunities and streamline business processes.

By combining these datasets in Amazon Quicksight, marketing managers can analyze customer segmentation data to personalize outreach strategies, while executives review consolidated performance dashboards that update on your preferred schedule. This connection transforms raw BigQuery information into actionable visual insights that support daily tactical decisions and long-term strategic planning.

Try out all the features for free for 14 days

How to create BigQuery dashboards in Amazon Quicksight

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

1
Connect BigQuery to Kondado

Access your Kondado account and add BigQuery as a new data source by entering your Google Cloud Project credentials. Select the Tables and Views pipeline to automatically map all available database content for replication.

2
Choose Amazon Quicksight Destination

Select Amazon Quicksight from the destination options to establish where your BigQuery data should be sent. Configure your connection preferences to ensure the data arrives in the correct format for immediate visualization.

3
Build Dashboards and Set Schedule

Design your custom reports in Amazon Quicksight using the replicated data, then set your preferred update frequency to keep metrics current. Your dashboards will refresh automatically on the configured schedule, ensuring your team always sees the latest business insights.

Access BigQuery data in Amazon Quicksight 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!

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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

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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

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From wherever you need

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

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Predictable pricing

No surprise invoices, pick a plan and change it anytime

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Frequently Asked Questions (FAQ)

Answers about visualizing BigQuery data in Amazon Quicksight automatically

How do I connect BigQuery to Amazon Quicksight without using intermediate databases? ▼
Start by adding BigQuery as a data source in your Kondado account and authenticate your Google Cloud credentials. Then select Amazon Quicksight as your destination and choose the Tables and Views pipeline to begin replicating your data. Kondado creates a direct connection that maps your database content automatically, eliminating the need for complex configuration or additional storage layers.
What types of business dashboards can I build with BigQuery data in Amazon Quicksight? ▼
You can create executive summary dashboards showing revenue trends, operational monitors tracking supply chain metrics, and marketing performance views analyzing campaign ROI. Business users typically visualize customer segmentation data, sales funnel progression, and financial forecasting metrics to support strategic planning. These custom reports help teams identify growth opportunities and track progress toward business objectives without technical assistance.
How often does my BigQuery data update in Amazon Quicksight? ▼
Kondado replicates your data on a configurable schedule that you control, with options ranging from every 5 minutes to daily updates depending on your business needs. This ensures your Amazon Quicksight dashboards reflect recent activity without manual refreshes or exports. You can adjust the frequency anytime to balance between having current insights and optimizing processing resources.
Which marketing and sales KPIs should I track when visualizing BigQuery in Amazon Quicksight? ▼
Marketing teams benefit from tracking customer acquisition cost, lifetime value, and campaign conversion rates across different channels. Sales managers should monitor pipeline velocity, win rates, and average deal size alongside historical performance trends. Operations teams can visualize inventory turnover and logistics efficiency to ensure resources align with demand patterns identified in your BigQuery data.
Are there pre-built report templates available for BigQuery to Amazon Quicksight? ▼
Kondado focuses on enabling custom dashboard creation tailored to your specific business metrics and industry requirements. While pre-built templates are not available, the Tables and Views pipeline automatically structures your BigQuery data for immediate visualization. You can design reports that match your unique KPIs and branding preferences without being limited to generic layouts.
How can I share Amazon Quicksight dashboards with my team using BigQuery data? ▼
Once your data flows through Kondado into Amazon Quicksight, you can use the platform's built-in sharing features to distribute insights across your organization. Team members access the same current data replicated from BigQuery, ensuring everyone works with consistent metrics. This collaborative approach helps marketing, sales, and operations teams align their strategies based on unified visual reports.
Do I need SQL knowledge to visualize BigQuery data in Amazon Quicksight? ▼
No coding or SQL expertise is required to set up the connection or build dashboards through Kondado. The platform handles the technical mapping of your BigQuery tables and views automatically. Business users can focus on designing visualizations and analyzing results in Amazon Quicksight rather than writing database queries.
Can I send BigQuery data to other visualization tools besides Amazon Quicksight? ▼
Yes, Kondado enables you to replicate your BigQuery data to multiple destinations including Power BI, Looker Studio, and Google Sheets. You can also send data to BigQuery destinations or databases like PostgreSQL. This flexibility allows different teams to use their preferred tools while working from the same source data.

Try out all the features for free for 14 days