100 Dashboard Builders to Explore for Your Business
Dashboard builders turn scattered business data into a shared view of what is happening: revenue, product usage, campaign performance, support volume, infrastructure health, or team capacity. For a solo founder, that can mean less time assembling status updates and more time interpreting the signals behind them.
The phrase best dashboard builder is inherently context-dependent. A tool that works well for a data team writing SQL may be a poor fit for a founder who needs a simple weekly marketing report. Rather than presenting an objective ranking, this guide groups 100 established options by their common use cases. Product scope, integrations, deployment models, and pricing can change, so confirm current details directly with each vendor.
How to compare dashboard builders
Start with the decision the dashboard is meant to support. A live operations dashboard has different requirements from a monthly board report. Then consider who will build it, who will use it, where the underlying data lives, and how much governance is needed.
- Data access: Check whether the tool connects to your warehouse, spreadsheets, SaaS applications, APIs, or event data.
- Build experience: Decide whether your team needs drag-and-drop reporting, SQL, code, or a combination.
- Sharing and governance: Review permissions, refresh behavior, embedding, exports, and definitions for important metrics.
- Operational fit: Consider alerts, scheduled reporting, mobile viewing, and whether a dashboard can be part of a broader internal workflow.
AI employees and automated teams can make regular monitoring more practical, but they still need clear metric definitions and trustworthy sources. A dashboard should provide evidence for a discussion, not replace judgment about why a number changed or what to do next.
100 dashboard builders and reporting platforms
Business intelligence and analytics
- Tableau
- Microsoft Power BI
- Looker
- Looker Studio
- Qlik Sense
- ThoughtSpot
- Sisense
- Domo
- Zoho Analytics
- Yellowfin BI
- Metabase
- Apache Superset
- Redash
- Lightdash
- Evidence
- Rill
- Holistics
- Sigma
- Mode
- Hex
- GoodData
- Pyramid Analytics
- MicroStrategy
- TIBCO Spotfire
- IBM Cognos Analytics
Cloud data and embedded analytics
- SAP Analytics Cloud
- Oracle Analytics Cloud
- Amazon QuickSight
- Microsoft Fabric
- Databricks SQL
- Snowflake Snowsight
- Dune
- Preset
- Explo
- Luzmo
- Embeddable
- Cumul.io
- Slemma
- FineReport
- Logi Analytics
- Bold BI
- DashboardFox
- Toucan
- Vizzlo
- Count
Low-code internal tools and app builders
- Retool
- Appsmith
- Budibase
- ToolJet
- Superblocks
- UI Bakery
- DronaHQ
- Glide
- Softr
- Bubble
- Microsoft Power Apps
- Mendix
- OutSystems
- Appian
- ServiceNow App Engine
- Airtable
- Notion
- Coda
- Rows
- Smartsheet
Marketing and agency reporting
- Klipfolio
- Databox
- Geckoboard
- Cyfe
- DashThis
- Whatagraph
- AgencyAnalytics
- TapClicks
- Adverity
- Swydo
Product, observability, and operational dashboards
- Mixpanel
- Amplitude
- Heap
- PostHog
- Pendo
- Fullstory
- Grafana
- Kibana
- OpenSearch Dashboards
- New Relic
- Datadog
- Splunk
- Dynatrace
- Sumo Logic
- Chronosphere
- Coralogix
- AppDynamics
- SolarWinds
- Better Stack
- Elastic Observability
Work management and CRM dashboards
- monday.com
- ClickUp
- Asana
- Jira
- HubSpot
- Salesforce
Choosing a practical first option
Small teams often benefit from beginning with the data they already maintain. If the key inputs are in spreadsheets and familiar SaaS products, a lightweight reporting tool may reduce setup work. If important information is in a warehouse, a BI platform with strong semantic modeling or SQL support can help keep metrics consistent. If the dashboard must trigger work, a low-code internal tool may be more useful than a conventional report.
Before committing, create one representative dashboard rather than evaluating an entire platform in the abstract. Include a business question, a few core metrics, the people who need access, and a realistic refresh schedule. Test whether someone unfamiliar with the build can understand the definitions and trace a number back to its source.
A useful dashboard narrows attention to decisions that matter. More charts do not necessarily create more clarity.
Finally, set ownership. Decide who validates source data, who updates metric definitions, and what happens when a number crosses a threshold. That discipline matters whether dashboards are reviewed by a founder, a small human team, or AI-assisted operating processes.