DataQuest Beta
Jovian
Gyana
Towardsdatascience
data.world
Amie
The Art of Data Science
Deepnote
Draxlr
Metabase
Redash
Tableau
Microsoft Power BI
Looker
Sisense
Holistics.io
Draxlr is a self-service business intelligence platform built for SaaS teams and data-driven businesses. It lets you connect your live SQL databases โ PostgreSQL, MySQL, Supabase, Snowflake, BigQuery, Databricks, and more โ and instantly build interactive dashboards, run queries, and share insights without a dedicated BI team.
Whether you're a founder tracking product metrics, an ops team monitoring performance, or a SaaS company embedding analytics directly into your product, Draxlr has you covered. Non-technical users can explore data with the visual query builder or ask questions in plain English using the AI-powered Text-to-SQL assistant. Technical users get full SQL access with complex joins and version control. Everyone works in the same platform.
Key features include embeddable dashboards with white-label controls, row-level filtering, and React/Vue/iframe SDKs for customer-facing analytics; scheduled email reports; Slack and email alerts for data changes; pivot tables, drill-downs, and compute cards; and multi-tenant support for SaaS products serving multiple customers.
Draxlr is designed to be fast to set up, transparent in pricing, and easy enough for your whole team โ not just your data team.
DataQuest Beta DraxlrNo DataQuest Beta videos yet. You could help us improve this page by suggesting one.
Draxlr's answer:
Draxlr offers three ways to query your data in one platform โ a visual query builder for non-technical users, an AI-powered Text-to-SQL chat interface, and a full SQL editor for engineers. Most BI tools force you to pick one audience. Draxlr serves all of them simultaneously, with embedded analytics and white-label controls built in from day one โ not as an afterthought.
Draxlr's answer:
Draxlr is faster to set up, more affordable, and purpose-built for SaaS embedding. Unlike heavyweight tools like Sisense or Looker that require weeks of implementation and significant engineering investment, Draxlr gets you from database connection to embedded dashboard in minutes. It includes white-labeling, multi-tenancy, row-level filtering, and secure embed tokens on all plans โ features competitors often lock behind enterprise pricing.
Draxlr's answer:
SaaS founders, product teams, and operators who need to ship analytics fast โ either internally for their team or embedded directly into their product for customers. Also data analysts and engineers who want SQL-native tooling without managing a complex BI stack.
Draxlr's answer:
Draxlr was built to solve a problem every SaaS team eventually faces: your product is growing, customers want to see their data, and building analytics from scratch would take months. Draxlr was created to close that gap โ giving teams a way to connect their SQL database and ship meaningful, embeddable dashboards without building a dedicated data engineering function.
Draxlr's answer:
Draxlr connects natively to SQL databases including PostgreSQL, MySQL, SQL Server, Supabase, Snowflake, BigQuery, Redshift, Databricks, ClickHouse, and NeonDB. Embedding is supported via React SDK, Vue SDK, and iframe. The platform includes an AI layer for natural language to SQL generation.
Based on our record, DataQuest Beta seems to be a lot more popular than Draxlr. While we know about 19 links to DataQuest Beta, we've tracked only 1 mention of Draxlr. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Have you consider dataquest.io ? I m thinking on subscribing there, the learning path since well balanced between theorical and practical knowledge, plus there are some pet projects initiaves. Source: over 3 years ago
I did a lot of planning, reporting and optimizations based on data when I was in digital media, so I've been applying to data focused roles. In my free time, I've also been learning Data Science via dataquest.io, hoping to take my analysis to the next level, learn new skill sets, and keep coding. Source: over 3 years ago
I recommend dataquest.io. It's an intuitive way to learn the fundamentals if you'd rather not study in a more formal manner. Source: over 3 years ago
Does it need to be a postgrad degree? If you want more hands on you might be better using Dataquest. Source: about 4 years ago
I am using Dataquest to learn Python for Data Science there. I also got a book from O'Riley called Data Science Handbook and the Automating the Boring Stuff with Python book. SQL is good to know and comes in handy. Source: about 4 years ago
You can try draxlr.com, it's read-only, no Write/Update. But in my opinion, it's pretty good for getting answers from your data without writing code. On top, I like the options to build dashboards and graphs and setup Slack and Email alerts. Source: about 4 years ago
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