Draxlr

What Draxlr is

Draxlr is a no-code business intelligence tool that sits on top of your SQL database and turns queries into charts and shareable dashboards. Its site describes it as built for getting a team "from raw SQL data to actionable dashboards as fast as possible" without a data engineer. The reader it is written for is an operations, product or founder-led team that has data in Postgres, MySQL or a warehouse and wants answers without a long analytics rollout. The company's own blog names its founder, Ameena, and describes the product as built for speed, simplicity and self-service, so that "any team member technical or not" can connect a database and start getting answers in minutes.

What you build and how

What you build in Draxlr is a dashboard made of saved queries, and the home page frames the work as one workflow with 6 steps: connect, query, ask AI, visualize, embed and alert. The site says each of the 7 building blocks it lists works on its own and hands off to the next.

Connecting data. You sign up, add database credentials and connect "as many databases as you need." The site says "Connect any SQL database and query instantly" and counts 14+ databases supported: PostgreSQL, MySQL, Supabase, MariaDB, SQL Server, PlanetScale, CockroachDB, YugabyteDB, Redshift, BigQuery, Snowflake, ClickHouse, Databricks and Neon. The home page says Draxlr queries data where it lives, with read-only access. A feature comparison table on the site also lists an Airtable data connection, Excel and CSV upload, and automatic export of query results to Google Sheets, so the product is not limited to a live SQL connection.

3 ways to write a query. The site's step 2 reads "Use the builder, AI or raw SQL to filter, join and summarize." The visual query builder is the route for people who do not write SQL. The AI route generates SQL from a plain-language request, and the company's own blog lists "Build dashboards using AI chat, visual builder, or direct SQL queries" as a headline capability. The home page says the AI Assistant reads your schema, writes read-only SQL, runs it, charts the answer and always shows the query, and that you can train it with your business context. A separate MCP Server lets Claude, Cursor or any MCP client query your databases and build dashboards with your permissions enforced on every call, and the blog pages advertise chatting with your database "from Claude, ChatGPT & more." The SQL editor is there for analysts who want to write the query themselves. All 3 feed the same dashboards, so a team can mix them: an analyst writes the SQL, a colleague builds a variation in the builder.

Visualizing. The pitch is "Turn SQL into charts and shareable dashboards." The home page names bar, line, area, pie, treemap and map charts plus computed cards on a drag-and-drop canvas, with dashboard-level filters, configurable caching and live refresh. The comparison table lists multiple visualization options, advanced charts such as Sankey, a drill-down feature, automatic insights for a table, and a real-time analytics dashboard. Once a query becomes a chart you pin it to a dashboard.

Sharing and permissions. One of the company's blog posts explains that you can generate public URLs for one or several dashboards and secure them with a regeneratable PIN. You can also share with team members and external collaborators. The comparison table lists table-level permissions, and another blog post mentions user permissions, team sharing and access control on both the cloud and self-hosted versions.

Embedding. Draxlr treats embedding as a main use. The site's third step is "Pin to dashboards, embed in your app, or push to Slack and email," and the blog pages promise "Embed dashboards into customer-facing apps." The home page says embeds drop in via HTML, React or Vue, apply row-level security to each customer's data and take white-label fonts, colors and branding, and a company blog post adds that dashboard embedding is available from the Premium plan upward. Another post says the embedded dashboard can include individual filters or leave them out, and that you set embedding permissions. The shipped result is a dashboard that sits inside your own product and looks like part of it.

Alerts and reports. Metrics can trigger Slack and email alerts. Dashboards can be exported as PDFs and sent as automated email summaries, and the company's blog says they can be automated for email or Slack alerts. The home page adds Google Sheets sync and an API endpoint for every saved query, and a blog post describes alerts on a schedule, at set intervals or only when the data changes.

Self-hosting. The company says Draxlr "has a self-hosted option for teams that value control over their data," and its comparison page lists "Self-host or cloud" under the reasons to choose it. A blog post says the self-hosted deployment runs the entire platform on your own infrastructure, so data never leaves your servers.

The evidence from the company's pages

Pricing. The figures differ between pages. The company's newer AI BI roundup says "Small teams can get started on the Lite plan at $25/month," that the Premium and Power plans add more databases, more users and a higher AI credits ceiling, and that Draxlr "starts at $25/month with AI credits included." An older SQL dashboard roundup lists Draxlr at $75/month as a flat price, and the comparison table quotes $75 a month for 20 users. The newer roundup also states that "all plans include unlimited external viewers," so sharing dashboards with clients, stakeholders or partners outside the team carries no per-viewer charge, and the comparison page adds that embed viewers are unlimited and free. The pages give no per-plan limits on databases, users or AI credits.

Free start. The home page and blog pages repeat "Start free today" and "No credit card required," the blog invites readers to "try Draxlr free," and the older roundup suggests testing Draxlr with a free trial.

Support. The comparison page promises "fast, priority responses from real people," with email and chat channels across global time zones. The footer also links to documentation, a changelog, an FAQ and a professional services page.

Ratings and reviews. The home page shows a 4.8 out of 5 rating on G2 and reviews from G2 and Capterra. One G2 review, titled "Best for Dashboards based on Postgres," reads "Super simple, almost no time to learn the tool" and comes from a founder in the facilities services domain. Niklas, a CTO, called it "A plug'n'play Dashboard for Supabase" on G2 and wrote that the query builder is "honestly very intuitive." Paolo, a CTO reviewing on Capterra, wrote that the dashboards help the team "understand in real time our customer behavior." These are the company's selected quotes, not an independent survey.

Security. The site carries Security and GDPR pages and an incident response policy, and the company's blog pitches the self-hosted option to teams in regulated industries such as healthcare or finance.

Who it suits and who it does not

Draxlr suits a startup or small operations team that keeps its data in a SQL database and wants dashboards live in an afternoon. It fits a SaaS company that wants customer-facing analytics inside its product, because embedding, white-labeling and unlimited external viewers are the center of the offer. It also fits a team that wants the option of running the tool itself, since a self-hosted version exists.

Keep a few caveats in mind. This is a BI layer over SQL: the home page frames the whole workflow around a SQL database, so a team whose data sits mostly in SaaS apps and spreadsheets will lean on the Airtable, CSV and Excel connections rather than native app connectors. Embedding, the feature many SaaS buyers come for, starts on the Premium plan rather than the entry Lite plan, so the $25 starting price is not the price of customer-facing analytics.