Best Redash Alternatives in 2026: 5 Tools Compared

The best Redash alternative depends on your use case. Metabase is the strongest replacement for internal SQL dashboards, Apache Superset is the best-maintained open-source option, and for teams that need embedded analytics or native NoSQL support, a platform built for those use cases will serve better than any Redash migration.

TL;DR

• Metabase is the easiest Redash replacement for internal SQL analytics teams.
• Apache Superset is the most actively maintained open-source BI alternative to Redash.
• Preset removes the operational overhead of managing Superset yourself.
• Grafana works best for infrastructure monitoring and time-series dashboards.
• Redash still works for self-hosted SQL dashboards, but as of 2026 development activity has slowed to roughly one release per year since the Databricks acquisition in 2020.
• Teams using MongoDB, Elasticsearch, or embedded analytics often need a platform built specifically for NoSQL and multi-tenant deployments.

Table of Contents

Why Teams Are Moving Off Redash

Redash helped popularize SQL-based dashboards for startups and internal analytics teams. It became popular because it was lightweight, simple to self-host, and easier to use than enterprise BI tools.

Databricks acquired Redash in June 2020. The hosted Redash Cloud service shut down on November 30, 2021, and user data was permanently deleted by December 30, 2021.

Development on the open-source project has slowed considerably since then. The GitHub release history tells the story clearly as of 2026:

The project has averaged one release per year since 2022. The community forum has moved to read-only. Several core limitations that existed before the acquisition remain unaddressed:

• Every dashboard requires SQL knowledge.
• NoSQL databases require workarounds or API connectors.
• There is no native embedded analytics framework.
• Multi-tenant customer analytics is not supported.
• There is no built-in NLQ capability.

Who Should Stay on Redash?

Not every team needs to migrate immediately. Self-hosted Redash still functions if your setup meets all of the following:

• Your data is entirely SQL-based with no NoSQL sources.
• Your dashboards are internal only with no customer-facing embedding.
• You have an engineer who maintains the instance and handles security patches.
• You have no plans to add AI querying or natural language BI for end users.

If any of those conditions no longer hold, the maintenance-only status of the project makes it a risk to build on further.

What to Look for in a Redash Replacement

Different teams replace Redash for different reasons. Before choosing a tool, identify which use case matters most.

• Internal analytics: Dashboards for internal teams only.
• Embedded analytics: Customer-facing analytics inside a SaaS product.
• NoSQL analytics: MongoDB, Elasticsearch, Cassandra, or mixed-source data.
• Open source: Self-hosting and source-code access requirements.

The 5 Best Redash Alternatives in 2026

Metabase

Best for Internal SQL Analytics

Metabase is the closest direct replacement for Redash. It keeps SQL-based workflows for analysts while adding a visual query builder for non-technical users.

The open-source version covers most internal dashboarding needs and can be self-hosted without licensing costs.

Pricing

Pricing sourced from the Metabase pricing page, verified May 2026:

• Open Source: Free
• Starter: $100/month plus $6/user/month (first 5 users included)
• Pro: $575/month plus $12/user/month (first 10 users included)
• Enterprise: Custom pricing (starts at $20K/year)

Limitations to Know

White-labeling and embedded analytics require the Pro plan at $575/month. The open-source and Starter tiers both display Metabase branding on embedded content.

Knowi

Best for Embedded Analytics, NoSQL Data and Multi-source Data

The platform is designed for teams building customer-facing analytics products or working with NoSQL and multi-source data environments.

It natively connects to MongoDB, Elasticsearch, Cassandra, DynamoDB, SQL databases, and REST APIs without requiring ETL pipelines or warehouse staging. Cross-source joins across SQL, NoSQL, and API data run in a single query layer.

For teams evaluating embedded analytics specifically, the embedded analytics platform supports SSO, white-labeling, and customer-facing dashboards. Teams using MongoDB can review use cases on the MongoDB analytics page. For AI-powered querying, Natural Language BI supports NLQ across SQL, NoSQL, and API data.

Apache Superset

Best Open-Source Redash Alternative

Apache Superset is maintained by the Apache Software Foundation with active contributions from Airbnb, Lyft, and others. It supports 40+ chart types alongside a full SQL editor.

It has a real roadmap and active release cadence, which makes it meaningfully different from Redash’s current maintenance-only status.

Setup Requirements

Superset is more operationally complex than Metabase or Redash. Production deployments typically require Docker, Celery, and Python expertise. It is not a one-click install.

Limitations to Know

Superset has no native embedded analytics. Dropping a Superset dashboard into a customer-facing product requires significant custom development work.

Grafana

Best for Infrastructure and Metrics Dashboards

Grafana is designed primarily for observability and time-series analytics. Engineering teams commonly use it with Prometheus, Loki, InfluxDB, and OpenTelemetry data.

When It Works

Grafana works best when infrastructure monitoring is the primary use case. It integrates deeply with the modern observability stack.

Limitations to Know

Grafana is not designed for self-service business intelligence. Non-technical users typically find it harder to use than Metabase or Redash. It has no drag-and-drop report builder and limited support for SQL-heavy relational queries.

Preset

Best Managed Superset Option

Preset provides a managed cloud version of Apache Superset, built by the original Superset creators. Teams get Superset’s full capabilities without managing infrastructure themselves.

It handles scaling, upgrades, backups, and cloud operations. That makes it a practical option for smaller data teams that want Superset functionality without DevOps overhead.

Pricing

Pricing sourced from the Preset pricing page, verified May 2026:

• Starter: Free for up to 5 users
• Professional: $20/user/month billed annually
• Enterprise: Custom pricing
• Embedded analytics add-on: Starts at $500/month for 50 viewers

Limitations to Know

Embedded analytics is priced separately as an add-on. At $500/month for 50 viewers, costs scale quickly for SaaS products with large customer bases.

How to Choose the Right Redash Alternative

Choose Metabase if you want the simplest migration path for internal SQL dashboards.

Choose Apache Superset if open-source governance and an active development roadmap matter most.

Choose Preset if you want Superset without infrastructure management.

Choose Grafana if observability and engineering metrics are your primary use case.

Choose Knowi if you need embedded analytics, native NoSQL support, or multi-source analytics without ETL pipelines.

Book a demo to see embedded analytics and NoSQL analytics workflows in action.

Frequently Asked Question