Lightdash vs Sisense
On the evidence we track, Sisense leads this comparison with a composite score of 65/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.
Capabilities
Feature-by-feature on the axes that matter for bi software. “-” means undocumented, not absent.
What each one is
The product in its own terms, so the numbers below have context.
Lightdash
A BI platform that anchors analytics in dbt-defined metrics and provides a governed semantic layer for organizations. Teams define metrics, joins, and business logic once, then access the data through dashboards, AI-powered Q&A, embedded analytics, or custom data applications, all with consistent governance and user permissions.
Sisense
LeaderSisense is an embedded analytics platform designed for developers to integrate AI-powered analytics into customer-facing products. It provides natural-language query capabilities, semantic data modeling, row-level security, and flexible embedding options through SDKs and APIs, with support for multiple deployment models.
Pricing
List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.
Lightdash
Open source free tier, Cloud Pro at $3,000/month (unlimited users), Enterprise custom. No per-seat pricing.
- Open SourceFree
- Unlimited seats
- Data explorer and report builder
- Native dbt integration
- Scheduled deliveries
- Alerting
- +11 more
- Cloud Pro$3,000/month flat rate, unlimited users and visualizations
- Unlimited users
- Unlimited visualizations
- Native dbt integration with open semantic layer
- Scheduled reports and alerting
- Dashboards as code
- +11 more
- EnterpriseContact sales
- All Cloud Pro features, plus:
- Cloud or on-premises deployment
- SAML 2.0 and SCIM 2.0 provisioning
- Advanced user management with custom roles
- SOC 2 Type II compliance
- +9 more
Sisense
LeaderFree self-serve tier available; enterprise pricing via sales consultation
- Self-ServeFree
- EnterpriseContact sales
Platform & deployment
Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.
Integrations
What each product connects to. Counts come from the vendor's own integration directory where one exists.
Lightdash
- BigQuery
- Snowflake
- Redshift
- Databricks
- Postgres
- Trino
- ClickHouse
- Athena
- DuckDB
- GitHub
- GitLab
- Azure DevOps
- Bitbucket
- Slack
- Microsoft Teams
- Google Sheets
- dbt
- Rollstack
- MotherDuck
Sisense
Leader- Any warehouse connectors (generic)
- Any database connectors (generic)
- Cloud app connectors (generic)
- MCP (Model Context Protocol)
- REST APIs
- Compose SDK
- External AI tools and workflows
- Custom plugins
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.