
Metabase
Tableau
Microsoft Power BI
Google Data Studio
Looker
Apache Superset
D3.js
Data visualization and collaboration tool.

Microsoft Power BI
Tableau
Google Data Studio
Metabase
Looker
Build interactive dashboards from spreadsheets and SQL databases, with AI.
Which is more popular?
Based on our record, Redash seems to be more popular. It has been mentioned 19 times since March 2021.
Website, pricing, platforms and company facts side by side.
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|---|---|---|
| Website | redash.io | chartbase.io |
| Pricing | ||
| Platforms | — | |
| Company | — | Startup from Jordan · 1 - 9 employees · 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of Redash yet.
ChartBase turns your spreadsheets and databases into clear, interactive dashboards, right in your browser with nothing to install. Bring in your data, connect the pieces, and build the charts you need. Do it yourself in a few clicks, or let AI put together a first draft for you to adjust. What...
What each product offers, as listed by its team.


Possible disadvantages
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
No analysis of ChartBase yet.
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Redash and ChartBase.
ChartBase's answer:
ChartBase takes you from a spreadsheet or database to a shared, interactive dashboard in the browser, with nothing to install. Connect Excel, CSV, PostgreSQL, MySQL or SQL Server, draw how your tables relate, and let the AI draft a dashboard from your real tables or write a formula from a plain-English description. Viewers are free and unlimited on every plan, and the whole product works in English and Arabic.
ChartBase's answer:
You only pay for the people who build dashboards: viewers are free and unlimited on every plan. The Free plan doesn’t expire, needs no card, and includes the AI dashboard builder. No SQL is needed: relationships are drawn on a canvas and charts are built by dragging fields. Share a dashboard with named people, as a link, embedded in your own site, or as a PDF or Excel export.
ChartBase's answer:
Next.js, React and TypeScript on the front end, with Apache ECharts for the charts. A Node.js and Express API on PostgreSQL, DuckDB over Parquet files for analytical queries, Redis for background jobs, and S3-compatible storage for uploaded files.
ChartBase's answer:
Teams whose numbers live in spreadsheets or in a PostgreSQL, MySQL or SQL Server database, and who want dashboards without a data-engineering project: founders, operations, finance and sales teams, and the analysts and consultants who build dashboards for them. Arabic-speaking teams get the full product in Arabic, right-to-left.
ChartBase's answer:
ChartBase started at my day job. As a senior software engineer, I was asked to build a lot of dashboards, and each one meant the same manual work: figuring out how the tables relate, writing the formulas, and deciding which charts fit the data. I kept asking AI chat assistants for help one piece at a time, but none of them could look at the data and build the dashboard itself.
So I built one that can. ChartBase reads a sample of each Excel sheet or database table, works out how the tables relate and what the data is for, and drafts a dashboard that leads with the numbers an executive looks for first. Everything it builds stays editable: change any chart, write your own measures, or start from a blank page.
Share your experience with using Redash and ChartBase. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


Redash is a lightweight, open-source business intelligence tool designed for easy data exploration using SQL queries and interactive dashboards. It helps teams visualize, share, and collaborate on insights quickly....
Accessibility: Though it also requires support from your data team, Looker is more targeted to non-tech users than Redash, since Redash requires SQL expertise.
So all-in-all, Redash is meant for users who have the technical knowledge and depend a lot on KPIs, and Datapad is for users and businesses who just want an overview of KPI performance but quickly.
We have no reviews of ChartBase yet. Be the first one to post
Recommendations tracked on public social media and blogs since March 2021.


I am looking for service or tool similiar to Metabase or Redash that allows me to add data source - for example Postgres connection, and create raw SQL queries that can be shared or exposed through API. So instead of keeping raw SQL code... Source: over 3 years ago
I have tried Metabase, Redash beore (both self hosted open source versions), from my experience I find Metabase a bit easy to work with. Source: over 3 years ago
Regarding visualization tools, sqliteviz has proven to be the best I've found so far. Their web app runs locally but has some trackers, so I run it locally via a simple, static HTTP server. Falcon and Redash seem like overkill for my needs. Source: over 3 years ago
Tracking ChartBase since Oct 2026.
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Data Studio turns your data into informative reports and dashboards that are easy to read, easy to share, and fully custom. Sign up for free.
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Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.
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modern, enterprise-ready business intelligence web application
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