Active Admin
RailsAdmin
Slick
Sequel Pro
PostGIS
Flyway
Jet Admin
Thoughtbot Administrate
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 — PostgreSQL, MySQL, Supabase, Snowflake, BigQuery, Databricks, and more — 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 — not just your data team.
DraxlrDraxlr's answer:
Draxlr offers three ways to query your data in one platform — 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 — 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 — features competitors often lock behind enterprise pricing.
Draxlr's answer:
SaaS founders, product teams, and operators who need to ship analytics fast — 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 — 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, Active Admin seems to be a lot more popular than Draxlr. While we know about 12 links to Active Admin, 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.
Same reason IDEs — when you really know them — allow for quicker development compared to using primitive text editors with a bunch of third-party plugins duck-taped together. When you understand the framework, everything is written to the same standard, behaves in similar ways, and is where you expect it to be. Adding things like background job processing requires changing one line of config. Also, one... - Source: Hacker News / over 1 year ago
Rails is absolutely fantastic for projects below 10,000 lines with 1 or 2 contributors, especially if you want a classic forms-based UI. And you can get a huge amount done under those constraints in Rails. But as of couple of years ago, Rails came with a number of drawbacks: 1. There was no really viable system of static typing that a significant number of people were enthusiastic about. See... - Source: Hacker News / over 2 years ago
Can you clarify what's the "tremendous value" you're getting out of the Django admin? At Heii On-Call https://heiioncall.com/ we are using Active Admin https://activeadmin.info/ for Ruby on Rails, which seems quite similar to the Django admin. In my experience, it's mostly useful as a fairly basic read-only view of what's in the database. In Rails, it's so easy to whip together a custom view that we tend to do... - Source: Hacker News / almost 3 years ago
For those who know [https://activeadmin.info/](https://activeadmin.info/) it uses a file format [https://github.com/activeadmin/arbre](https://github.com/activeadmin/arbre). Source: almost 4 years ago
Very neat! My first thought was that this was a competitor to https://bullettrain.co/. Looking into it a bit more, it seems more aimed at building admin panels than whole apps. I guess it competes against tools like https://activeadmin.info/? - Source: Hacker News / 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: over 4 years ago
RailsAdmin - A Rails engine that provides an easy-to-use interface for managing your data
Metabase - Metabase is the easy, open source way for everyone in your company to ask questions and learn from...
Slick - A jquery plugin for creating slideshows and carousels into your webpage.
Redash - Data visualization and collaboration tool.
Sequel Pro - MySQL database management for Mac OS X
Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.
