Redash served a generation of data teams well. But Databricks acquired it in 2020, development stalled, and the hosted version was shut down. If you're running Redash self-hosted, you're dealing with a tool that hasn't had a meaningful update in years — and a growing list of unsupported databases.
This guide covers the five best Redash alternatives in 2026. One of them doesn't require SQL at all — which matters if your team includes ops managers, CS leads, or founders who don't want to wait on an engineer every time they need a number.
Why Teams Are Moving Off Redash
Redash was built for one thing: write SQL, see a chart. That worked when every person querying the database knew SQL. Most teams today are different — analysts share a database with product managers, CS leads, and ops teams who can't write SQL but still need answers.
The other problems people mention when switching: slow setup, self-hosting overhead, no native alerting or workflow automation, and no path to giving non-technical teammates direct access without a training program.
What to Look for in a Redash Alternative
Before picking a replacement, clarify what you actually need:
Who needs access? If it's just your engineering or data team, any SQL-based tool will work. If you need non-technical teammates to query on their own, you need natural language query support.
Do you need automation? Redash only does read-only queries. If you want to trigger emails, Slack messages, or webhooks when a database metric crosses a threshold, you need a tool built for that.
Do you want managed or self-hosted? Redash forced most teams into self-hosting. Some alternatives are fully managed SaaS — much less overhead.
The 5 Best Redash Alternatives in 2026
1. AI for Database — Best for Non-Technical Teams
AI for Database (aifordatabase.com) takes a different approach than Redash entirely. Instead of writing SQL, you type a question in plain English — "How many new users signed up this week?" or "Show me customers who haven't logged in for 30 days" — and it queries your database and returns the answer.
That matters most when the people who need data aren't the people who can write SQL. Your CS lead can ask for retention numbers without filing a ticket. Your ops manager can pull order volume by region without waiting for a dashboard refresh.
Where it goes beyond Redash: self-refreshing dashboards that update automatically on a schedule, and action workflows that trigger emails, Slack messages, or webhooks when a database condition is met. Redash never did either of those things.
Supported databases: PostgreSQL, MySQL, Supabase, MongoDB, BigQuery, MS SQL Server, Snowflake, PlanetScale, Redshift, and more.
Best for: SaaS teams where multiple non-technical people need database access, and anyone who wants automated alerts or workflows without Zapier.
2. Metabase — Best for Teams Who Know Basic SQL
Metabase is the most common Redash replacement for a reason: it's mature, well-documented, and its point-and-click question builder lets non-SQL users do basic filtering and grouping without writing a query. For anything complex, you still need SQL.
The self-hosted version is free. The cloud version starts at $500/month for teams (as of 2026). It's a real cost jump if you were used to Redash's free tier.
Best for: Data or engineering teams who want a more polished Redash with a GUI query builder on top of SQL.
3. Apache Superset — Best for Engineering-Heavy Teams
Apache Superset is the open-source option with the most chart types and visualization flexibility. It's genuinely powerful — if you have someone to set it up, maintain it, and know SQL. The self-hosting requirement is non-trivial: Python, Celery, Redis, database, and ongoing maintenance.
If your team wanted Redash because it was free and open-source, Superset is the natural upgrade. If your team wanted Redash because it was easy, Superset will frustrate you.
Best for: Engineering teams with DevOps capacity and analysts who live in SQL.
4. Grafana — Best for Infrastructure and Time-Series Data
Grafana excels at time-series dashboards — server metrics, application performance, uptime monitoring. If that's what your Redash setup was doing, Grafana Cloud has a generous free tier and is mature.
For business data — MRR, user counts, churn rates, order volume — Grafana is a poor fit. It wasn't designed for that and the panel setup is far more complex than it needs to be for business metrics.
Best for: DevOps and platform teams doing infrastructure monitoring, not business analytics.
5. Mode Analytics — Best for Data Analyst Teams
Mode is a collaborative SQL notebook and dashboard tool built for data analysts. You write SQL, explore results with a chart builder, and share reports. It's polished and has good sharing and embed features.
The catch: it's priced for organizations large enough to have dedicated data teams. Pricing is enterprise and not publicly listed. If you're a 10-person SaaS company, you're probably not their target customer.
Best for: Dedicated data analysts at mid-market or enterprise companies who need a collaborative SQL workspace.
Quick Comparison: Redash vs These Alternatives
Needs SQL to query: Redash (yes), Metabase (mostly), Superset (yes), Grafana (yes), Mode (yes), AI for Database (no — plain English).
Self-refreshing dashboards: Redash (limited), Metabase (yes), Superset (yes), Grafana (yes), Mode (yes), AI for Database (yes).
Automated alerts and workflows: Redash (no), Metabase (basic), Superset (no), Grafana (yes — infra only), Mode (no), AI for Database (yes — email, Slack, webhooks on any condition).
Managed SaaS option: Redash (no longer), Metabase (yes, $500+/mo), Superset (no), Grafana (yes), Mode (yes, enterprise), AI for Database (yes).
Common Questions About Replacing Redash
Is Redash still maintained?
The open-source repository still exists on GitHub but hasn't had active development since Databricks wound it down. The hosted Redash service is gone. If you're self-hosting, you're running unsupported software with no security patches and no new database connectors.
What's the easiest Redash alternative to set up?
For managed SaaS with minimal setup: AI for Database or Metabase Cloud. Both connect to your database with credentials in minutes. AI for Database has no SQL requirement, which means onboarding non-technical users takes hours instead of days.
I need my whole team to query our database, not just engineers. What should I use?
AI for Database is the clearest answer. Your CS lead, ops manager, and marketing team can type questions in plain English and get answers directly from your PostgreSQL, MySQL, or Supabase database — no SQL training required, no analyst bottleneck.
Can I get database alerts without rebuilding everything in Zapier?
Yes. AI for Database has action workflows built in — you define a condition (e.g., "new signups drop below 10 per day" or "a user hasn't logged in for 14 days") and it triggers an email, Slack message, or webhook automatically. No Zapier required.
Which Redash Alternative Should You Choose?
If your team is all-engineers or analysts who live in SQL: Apache Superset (if you have DevOps capacity) or Metabase (if you want managed). Both are solid Redash successors for SQL-fluent teams.
If you need non-technical people to query your database directly — your ops team, CS leads, product managers, founders — the SQL-based tools all create the same bottleneck Redash created. AI for Database is the only tool in this list that solves that problem natively.
If you also want automated actions from database changes: only AI for Database and Grafana offer this — Grafana only for time-series/infra data. For business data workflows, AI for Database is the only option.
Try AI for Database at aifordatabase.com — connect your database and run your first plain English query in under five minutes.