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 ![Draxlr](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_eea9c2aa616b32d0d1bee61ac76653a4/draxlr.png "Draxlr")
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# Draxlr Discussions

Draxlr is an AI business intelligence and embedded analytics platform for SQL databases, used by teams from startups to enterprises like Comcast and Deel. Analysts, developers, product and operations teams use it for dashboards and alerts on live data, and SaaS companies use it to put analytics inside their own product. Technical and non-technical team members can both build dashboards: write SQL in the editor, use the drag-and-drop query builder, or ask a question in plain English and let the AI write the query. Dashboards run live queries against your database, so no data is copied. Teams also get alerts when critical metrics change, scheduled reports and secure shareable links for client reporting. AI assistants like Claude and ChatGPT can query your data through Draxlr's read-only MCP server. For customer-facing analytics, Draxlr embeds white-labeled dashboards with HTML, React, Vue or the backend API. From the Premium plan ($75/month), embeds include filters, drill-downs and other interactive features, with unlimited customer viewers and no per-viewer fees. On Power ($250/month) and above, row-level security keeps each customer to their own rows, and Full App Embedding gives every customer their own analytics workspace with dashboards, a query builder, a SQL editor and the AI assistant. For enterprise teams, Draxlr adds single sign-on through a connector built for your identity provider (using standards such as SAML 2.0 and OpenID Connect; Okta is already supported), audit logs and custom access levels. It runs in Draxlr cloud, on a dedicated server, or self-hosted in your own VPC or on-premise, where you can use an AI model your security team has approved. Draxlr connects to Postgres, MySQL, SQL Server, MariaDB, Supabase, Neon, CockroachDB, YugabyteDB, PlanetScale, Amazon Redshift, Google BigQuery, Snowflake, ClickHouse and Databricks.

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