The closest alternatives to Apache Superset on Lister are Tableau, Looker and Sisense, the companies that share the most rankings with it. Each is compared below on its stated best fit, starting price and Lister Score.
How to choose an alternative to Apache Superset
Start from what you need it for. Where each fits best, as Lister records it:
- Tableau: Advanced enterprise data visualisation
- Looker: Data-driven companies seeking embedded analytics, strong governance, and a semantic layer approach
- Sisense: Embedding analytics into products
- Microsoft Power BI: Microsoft-centric organisations
- Qlik Sense: Complex associative data discovery
- Google Data Studio: Small to medium-sized teams and marketing-focused analytics; budget-conscious organisations
- Metabase: Small to medium teams prioritising quick deployment and simple self-service analytics without complex IT setup
- QlikView: Enterprises needing in-memory performance and associative analytics
- Microstrategy: Large enterprises with complex governance requirements and existing on-premise infrastructure
- Grafana: Kubernetes teams and organisations seeking lightweight, cost-optimised logging
Closest to Apache Superset by the rankings they share: Tableau (4 rankings), Looker (4 rankings) and Sisense (4 rankings).
Free to start, by their stated pricing: Google Data Studio, Metabase and Grafana.
Stated starting prices: Tableau ($75 per user per month) and Microsoft Power BI ($10 per user/month).
Custom or quote-based pricing: Looker, Sisense, Qlik Sense, QlikView and Microstrategy.
Each Lister Score is the alternative's score on the ranking named in its row, so compare scores within one ranking rather than across rankings. How the score is made.
Each alternative in brief
01
See and understand your data
#1 in Top 10 Business Intelligence Platforms: Tableau is a market-leading data visualisation and business intelligence platform acquired by Salesforce in 2019. It empowers users to connect to data, create interactive dashboards and share insights across organisations with ease.
PROS- Exceptional data visualisation capabilities
- Handles massive datasets with ease
CONS- Steep learning curve for beginners
- Can become expensive at scale
95.0
02
Data Platform for Every Decision
#3 in Top 10 Business Intelligence Platforms: Looker, acquired by Google Cloud in 2020, is a modern analytics platform built for embedded analytics and data applications. It enables organisations to explore data collaboratively through an intuitive interface backed by LookML modelling language.
PROS- Exceptional embedded analytics capabilities integrated into applications
- Strong data governance and centralised metric definitions via LookML
CONS- Pricing can exceed competitors for smaller deployments
- LookML has a steeper learning curve than competing platforms
90.3
03
Infuse analytics everywhere
#6 in Top 10 Business Intelligence Platforms: Sisense (now part of Perforce Software) is an embedded analytics platform enabling organisations to integrate analytics into their applications. It features in-chip processing technology, pre-built connectors and low-code development.
PROS- Great for embedded analytics
- Handles large volumes of disparate data
CONS- Can require dedicated IT resources
- Custom styling requires coding knowledge
83.3
04
Turn data into insights with Power BI
#2 in Top 10 Business Intelligence Platforms: Power BI is Microsoft's cloud-based business analytics tool that integrates seamlessly with Office 365 and Azure. It enables rapid insight generation through interactive dashboards, reports and embedded analytics.
PROS- Affordable pricing tiers
- Deep integration with Microsoft 365
CONS- Complex data models can slow performance
- Report sharing requires paid licenses for all viewers
92.7
05
Lead with data
#4 in Top 10 Business Intelligence Platforms: Qlik Sense is an enterprise-grade analytics platform featuring associative analytics that highlights connections in data. It supports both self-service and IT-governed analytics through intuitive visualisation and powerful data integration.
PROS- Unique associative data model
- Strong automated AI insights
CONS- Resource intensive setup
- High cost for enterprise deployment
88.0
06
Free Reporting and Visualisation
#5 in Top 10 Business Intelligence Platforms: Google Data Studio is a free, web-based analytics tool that transforms data into customisable, shareable dashboards. It integrates directly with Google Analytics, Google Sheets, BigQuery and hundreds of third-party data sources.
PROS- Completely free with no user limits or feature restrictions
- Seamless integration with Google Analytics, Sheets, and BigQuery
CONS- Fewer advanced analytics and statistical functions than paid competitors
- Performance can degrade with very large datasets
85.7
07
Simple Analytics for Everyone
#9 in Top 10 Data Visualization Software: Metabase is an open-source analytics platform providing simple question-answering and dashboarding capabilities accessible to non-technical users.
PROS- Extremely simple to deploy and use; minimal technical setup required
- Free open-source version suitable for small to medium teams
CONS- Limited advanced features and customisation options for complex analytics
- Smaller user community and fewer third-party integrations than larger platforms
76.3
08
In-memory analytics and business intelligence platform
#4 in Top 10 Business Intelligence Tools: QlikView pioneered associative analytics, allowing users to explore data relationships intuitively. Its in-memory engine delivers rapid query performance and enables dynamic data discovery across connected datasets.
PROS- Fast in-memory analytics for large datasets
- Intuitive associative navigation and exploration capabilities
CONS- Higher licensing costs compared to newer competitors
- Less modern UI compared to Tableau or Power BI
88.0
09
Enterprise analytics and mobility
#8 in Top 10 Business Intelligence Tools: MicroStrategy delivers enterprise-grade analytics with advanced security, governance, and scalability. It supports complex metadata layers, managed self-service analytics, and integrated mobility for organisations with sophisticated BI requirements.
PROS- Enterprise-grade security, governance and scalability for large organisations
- Supports both on-premise and cloud deployment models providing flexibility
CONS- Complex implementation and higher cost of ownership compared to modern cloud-native platforms
- Steeper learning curve with less intuitive interface than newer competitors
78.7
10
Visualise and monitor anything
#10 in Top 10 Data Visualization Software: Grafana is an open-source visualisation platform enabling real-time monitoring and analytics across metrics, logs and traces from multiple data sources.
PROS- Exceptionally low operational overhead and minimal resource consumption
- Seamless integration with Prometheus metrics and existing Grafana dashboards
CONS- Less mature feature set than Splunk or Datadog (e.g., limited statistics queries)
- Smaller ecosystem and community support relative to Elastic
74.0