Sold by: Lightdash
Deployed on AWS
The only open source AI-native BI platform that lets AI build, refactor, and ship analytics in minutes. Built for modern data teams and loved by developers.
Overview
Lightdash is for modern data teams who are bottlenecked by manual dashboard work and frustrated with UI-first BI tools. Lightdash is the first Agentic BI platform that enables data teams to use AI agents to build, manage, and update analytics at the speed of code. Unlike legacy BI tools that require clicking through UIs or chatbot BI that still requires manual work, Lightdash integrates with your dev workflow (Cursor, GitHub, terminal) and automates your entire BI layer with governed, transparent AI agents.
Ship analytics at code speed: Use AI agents to build and update your dashboards while you focus on strategic work Automate the repetitive: Bulk update charts, migrate content, refactor metrics - all from your terminal Scale without headcount: Stop being bottlenecked by manual dashboard requests
Highlights
- **Code-first value:** Everything configurable as code - no other BI tool does this **Build BI like you build software:** Version control, code review, CI/CD for analytics **Stay in your flow:** Build dashboards from Cursor or your terminal. Never leave your IDE **dbt-native:** Your semantic layer is already in code. Lightdash extends it, doesn't replace it.
- **Governed semantic layer:** Built on your dbt logic so you have a single source of truth & zero metric duplication **AI transparency:** See exactly how the AI generated insights - not a black box **Enterprise security:** SOC2 compliant, self-host options, battle-tested at scale
- **Unlimited users, flat pricing:** No per-seat fees. Scale across your entire company without ballooning costs. **Faster time to value:** From dbt to dashboards in minutes, not months **Reduce data team toil:** Automate 80% of dashboard maintenance work
Details
Sold by
Delivery method
Supported services
Delivery option
Lightdash on Kubernetes (Helm)
Latest version
Operating system
Linux
Deployed on AWS
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Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on a fixed subscription cost. You pay the same amount each billing period for unlimited usage of the product. Pricing is prorated, so you're only charged for the number of days you've been subscribed. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
- Monthly subscription
- $10,000.00/month
Vendor refund policy
For refunds please contact sales at sales@lightdash.com
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
Lightdash on Kubernetes (Helm)
Supported services: Learn more
- Amazon EKS
- Amazon EKS Anywhere
Helm chart
Helm charts are Kubernetes YAML manifests combined into a single package that can be installed on Kubernetes clusters. The containerized application is deployed on a cluster by running a single Helm install command to install the seller-provided Helm chart.
Version release notes
Lightdash 0.2764.4: initial AWS Marketplace release
This is the first version of Lightdash published to the AWS Marketplace, delivered as a Helm chart for deployment into your own EKS (or other Kubernetes) cluster.
What's included
- Full Lightdash platform : dbt-native BI with semantic layer, charts, dashboards, alerts, and scheduled deliveries.
- Commercial-tier features, including:
- Role-based access control and group permissions
- AI agents and project health agent with slow-query detection
- Scheduled deliveries to Slack, email, and Google Sheets (via an included headless browser)
- Embedded analytics and custom-metric governance
- Enterprise connectors: BigQuery, Snowflake, Databricks, Redshift, Postgres, ClickHouse, Trino.
- Bring-your-own Postgres: configure any PostgreSQL 13+ instance (RDS Aurora/RDS Postgres recommended); the chart runs schema migrations automatically.
Highlights since the last cloud release
- Dashboards: added error boundaries so a single broken tile no longer breaks the whole dashboard.
- Verification workflow: analytics tracking for verified charts and dashboards.
- Permissions: finer-grained scoping for custom dimensions and metrics via a new CustomFields scope.
- Reliability fixes: hardened Redshift auth handling, corrected ClickHouse week-boundary rounding, and improved worker stability on multi-project deployments.
Full public changelog: https://github.com/lightdash/lightdash/releases
Supported Kubernetes versions
1.27 and above.
Support
- Documentation: https://docs.lightdash.com
- Support: support@lightdash.com
Additional details
Usage instructions
Prerequisites
- A Kubernetes cluster running 1.27+ (Amazon EKS or EKS Anywhere).
- An external PostgreSQL database (version 13 or later). Amazon RDS recommended. Create a database and user with CREATE privileges: the chart runs schema migrations automatically.
- An ingress controller or the ability to provision a Kubernetes LoadBalancer service.
- kubectl and helm (v3.8+) configured against the target cluster.
1. Create a namespace and database secret
2. Install the chart
Generate the session secret with: openssl rand -hex 32.
3. Access Lightdash
Once the LoadBalancer or ingress has an address, open <https://lightdash.your-domain.com> and create the first admin user.
Upgrading
Support
- Documentation: https://docs.lightdash.com
- Support: support@lightdash.com
Resources
Vendor resources
Support
Vendor support
Support is available to all users through our Community Slack support channel. Pro and Enterprise customers also receive support via dedicated Slack channel as well as training and onboarding calls.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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