Dashboards in minutes

Connect InfluxDB v1 to Looker: Dashboards in Minutes

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Connect InfluxDB v1 to Looker

Looking to turn your time-series metrics into actionable business intelligence without technical complexity? Kondado connects your InfluxDB v1 directly to Looker using a simple point-and-click interface that requires no coding or IT support. Business teams can immediately start replicating measurement data and building visualizations that transform raw infrastructure and IoT metrics into clear insights for daily operations and strategic planning.

2
available pipelines
  • ✓No code, no spreadsheets
  • ✓Auto-refreshed data
  • ✓14-day free trial
Connect InfluxDB v1 now →

Try out all the features for free for 14 days

With Kondado, you configure exactly how often your data refreshes, from every five minutes for operational monitoring to daily updates for executive reporting. Your marketing, operations, and sales teams get near-real-time access to IoT analytics, infrastructure performance trends, and application behavior metrics directly in Looker, enabling confident data-driven decisions without waiting for technical resources or complex database management.

Kondado connects InfluxDB v1 directly to Looker, allowing business teams to visualize time-series metrics on a configurable schedule without technical setup, intermediate databases, or coding requirements.

Available Pipelines for InfluxDB v1 and Looker

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 InfluxDB v1. All tables, views, and fields available in your account are extracted without manual configuration.

2
available pipelines
∞
Auto-refresh

What Kondado extracts

Dados de Medição (Incremental)
Measurement data collected incrementally from the last execution
Dados de Medição (Janela Móvel)
Measurement data with a configurable moving time window
Full docs on the wiki → Start free trial →

Try out all the features for free for 14 days

Once connected, you can access specialized pipelines designed specifically for time-series business analysis. The Measurement Data (Incremental) pipeline automatically captures new metrics collected since your last update, making it perfect for tracking growing IoT sensor networks or rapidly expanding cloud infrastructure. The Measurement Data (Moving Window) pipeline lets you define specific time periods for analysis, ideal for spotting performance trends in applications or understanding seasonal operational patterns across your business.

By combining these pipelines in Looker, operations teams create custom dashboards that monitor server health and uptime, marketing teams track detailed application user behavior and engagement metrics, and agencies build compelling client reports showing infrastructure performance over time, all without writing a single line of code or managing complex database connections.

FAQ

Try out all the features for free for 14 days

How to create InfluxDB v1 dashboards in Looker

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

1
Connect InfluxDB v1 as data source

Enter your InfluxDB v1 server details and credentials in Kondado to establish your data source connection without any coding required.

2
Select Looker destination

Choose Looker as your visualization platform to receive the replicated measurement data from your configured pipelines.

3
Configure refresh and build dashboards

Set your preferred update frequency from five minutes to daily, then start building custom reports in Looker that transform your time-series metrics into actionable business insights.

Access InfluxDB v1 data in Looker 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 InfluxDB v1 data in other BI tools

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

Airtable
InfluxDB v1 > Airtable
Alteryx
InfluxDB v1 > Alteryx
Amazon Quicksight
InfluxDB v1 > Amazon Quicksight
BIMachine
InfluxDB v1 > BIMachine
Cortex
InfluxDB v1 > Cortex
Data Studio
InfluxDB v1 > Data Studio
Geckoboard
InfluxDB v1 > Geckoboard
Grafana
InfluxDB v1 > Grafana
IBM Cognos Analytics
InfluxDB v1 > IBM Cognos Analytics
Klipfolio
InfluxDB v1 > Klipfolio
Looker Studio
InfluxDB v1 > Looker Studio
Looker
InfluxDB v1 > Looker
Looqbox
InfluxDB v1 > Looqbox
Metabase
InfluxDB v1 > Metabase
Microstrategy
InfluxDB v1 > Microstrategy
Pentaho
InfluxDB v1 > Pentaho
Power BI
InfluxDB v1 > Power BI
Qlik Cloud Analytics
InfluxDB v1 > Qlik Cloud Analytics
Qlik Sense
InfluxDB v1 > Qlik Sense
Qlik
InfluxDB v1 > Qlik
QlikView
InfluxDB v1 > QlikView
Redash
InfluxDB v1 > Redash
Superset
InfluxDB v1 > Superset
Tableau
InfluxDB v1 > Tableau
BI TOTVS
InfluxDB v1 > BI TOTVS
Zoho Analytics
InfluxDB v1 > Zoho Analytics

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Why Kondado?

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Frequently Asked Questions (FAQ)

Answers about visualizing InfluxDB v1 data in Looker automatically

How do I connect InfluxDB v1 to Looker using Kondado? ▼
Start by adding InfluxDB v1 as a data source in your Kondado account, then select Looker as your destination. The platform automatically replicates your measurement data on the schedule you configure.
What types of dashboards can I build with InfluxDB v1 data in Looker? ▼
You can create operational monitoring views for infrastructure health, IoT analytics dashboards showing sensor trends, and application performance reports tracking user behavior patterns over time.
How often does my InfluxDB v1 data update in Looker? ▼
You control the refresh frequency, choosing from every five minutes for operational alerts to hourly or daily updates for business intelligence reports.
What KPIs should I track when visualizing InfluxDB v1 time-series data? ▼
Focus on metrics like server response times, sensor reading averages, error rates, application latency, and resource utilization percentages to optimize your operations.
Are there pre-built report templates available for InfluxDB v1 and Looker? ▼
While no pre-built templates exist for this specific combination, you can easily create custom dashboards in Looker using the replicated data from your Measurement Data pipelines.
Can I share Looker dashboards built with InfluxDB v1 data with my team? ▼
Yes, you can share dashboards with stakeholders, schedule automated email delivery, and embed visualizations in internal tools for broader team access.
Do I need technical skills to visualize InfluxDB v1 data in Looker? ▼
No coding is required. The no-code interface lets business users connect sources and build visualizations without SQL knowledge or database management expertise.
Can I combine InfluxDB v1 data with other sources in Looker? ▼
Yes, you can blend InfluxDB v1 metrics with data from BigQuery, PostgreSQL, or Google Sheets within Looker for comprehensive business analysis. ### HowTo

Try out all the features for free for 14 days