TL;DR Verdict
Mode is the better pick for data teams that want a managed, polished SQL analytics workspace without touching servers. Redash wins for cost-conscious teams with DevOps capacity who need broad connector coverage and zero licensing cost. For small analytics teams under 10 people who need to share reports with non-technical stakeholders regularly, Mode is the cleaner path forward.
Quick Comparison Table
| Feature | Mode | Redash |
|---|---|---|
| Pricing (starting) | Free tier; paid plans from around $600/month for teams | Free (self-hosted, open source) |
| Free tier | Yes, for individual analysts | Yes, fully free when self-hosted |
| Best for | SQL analysts sharing reports with business stakeholders | Teams wanting lightweight dashboards with full data control |
| Key strength | Notebook-style SQL plus Python/R with polished report sharing | 50+ connectors and open-source flexibility |
| Biggest weakness | Cost scales quickly; post-acquisition uncertainty | No managed cloud version; requires DevOps to maintain |
| Learning curve | Moderate | Low to moderate |
| Integrations count (approx.) | 30+ data sources | 50+ data sources |
| Customer support | Email and docs on paid plans; community on free | Community-driven; no official support tier |
What Mode Does Well
Mode started as a SQL-first analytics platform and evolved into a full analytics workspace. After its acquisition by ThoughtSpot in 2023, the product has kept its core identity intact. If you were worried the acquisition would gut the product, the day-to-day experience has remained largely familiar.
The free tier works well for individual analysts who want to write SQL, build charts, and share links with colleagues. Paid business plans start around $600 per month for small teams, with pricing scaling by seat count and feature tier. Enterprise deals are custom. If you are budgeting for a team of five or more analysts, plan a call with their sales team rather than assuming a flat rate.
What Mode does particularly well:
- SQL notebooks with Python and R. You write SQL, then pass results directly into Python or R cells in the same environment. Analysts who need statistical work alongside database queries no longer have to jump between Jupyter and a BI tool.
- Report sharing and version history. Reports are shareable by link with snapshot history so you can see how a dashboard looked three months ago. Useful for teams presenting data to executives who want an audit trail.
- The Report Builder. A drag-and-drop layer on top of your SQL lets non-technical stakeholders interact with reports without touching any code.
- Scheduled reports. You can schedule reports to run and deliver automatically. Mode implements this cleanly, without the configuration headaches common in other tools.
- Collections and organization. Mode organizes queries and reports into named collections, which becomes important once your team has hundreds of saved queries and shared dashboards.
Data analysts at growth-stage startups and analytics engineers who regularly share work with non-technical business owners get the most value from Mode. If your workflow is write SQL, explore the data, share the story, Mode fits that loop naturally.
What Redash Does Well
Redash takes a fundamentally different approach. Databricks acquired it in 2020 and eventually wound down the managed cloud service. The codebase went fully open source, and today Redash costs nothing if you self-host it. That single fact changes the entire value equation compared to Mode.
A reasonably experienced developer can have Redash running on Docker in an afternoon. If you are building an internal data portal on a tight budget, the zero licensing cost is hard to argue against. A basic VPS runs $20 to $40 per month, and that is your entire infrastructure cost for a team of five to ten people.
What Redash does particularly well:
- Connector breadth. Redash connects to over 50 data sources including PostgreSQL, MySQL, BigQuery, Redshift, Snowflake, MongoDB, Elasticsearch, and Google Sheets. For teams with niche or legacy databases, this is a real advantage over Mode’s roughly 30-source list.
- Simple query editor. The SQL editor is stripped down and fast. Write a query, pick a visualization type, add it to a dashboard. The interface does not add friction.
- Dashboard-first design. Redash is built around dashboards rather than notebooks. If you want multiple query widgets arranged on a page and refreshed on a schedule, Redash handles that pattern cleanly and reliably.
- Parameter-driven queries. Dashboard viewers can filter data through query parameters without writing SQL. This gives non-technical users a self-service layer without extra configuration.
- Full data control. Because you run it on your own infrastructure, your data never leaves your network. For teams in healthcare, finance, or other regulated industries, that on-premises option carries real weight.
Redash suits small engineering teams, analysts at bootstrapped startups, and ops teams that want a lightweight internal dashboard tool without a recurring SaaS bill. If you have a DevOps person on hand, or can follow a Docker Compose guide confidently, the total cost of ownership stays genuinely low.
For a broader look at open-source options in this category, see open-source BI tools compared.
Head-to-Head Comparison
Pricing and Value
The pricing gap is stark. Mode’s free tier is generous for solo analysts but teams move to paid plans quickly. At around $600 to $800 per month for a small team, Mode is a real line item in a startup budget. Enterprise pricing is custom and will likely land in four figures monthly.
Redash is free on self-hosted infrastructure. Your costs are the server, the time to maintain it, and the occasional upgrade cycle. Third-party managed Redash hosting exists on platforms like AWS Marketplace but is not an official offering. If your team has no DevOps capacity, that hidden operational cost matters more than it looks on paper. If you do have that capacity, Redash wins on price by a margin that is hard to close.
Ease of Use
Mode has the more polished interface of the two. The notebook paradigm feels familiar to anyone who has used Jupyter, and the Report Builder lowers the bar for less technical users. Onboarding a new analyst takes a few hours, not days.
Redash is not difficult, but the interface is functional rather than refined. Building your first dashboard takes roughly 30 minutes to get comfortable with. The bigger friction point is the initial self-hosted setup, which requires technical confidence before you write your first query. See getting started with self-hosted BI tools for a practical walkthrough of what that setup involves.
Integrations and Ecosystem
Redash edges Mode on raw connector count. With 50-plus supported sources, it covers more ground, especially for legacy databases and non-standard data stores. Mode’s 30-plus connectors cover the major cloud warehouses and relational databases that most modern data teams use. For the majority of teams, Mode’s connector list is sufficient. For niche or unusual sources, Redash is the safer bet.
Both tools integrate with Slack for alerting. Mode has tighter native integration with ThoughtSpot for teams already in that ecosystem. Redash has an API that developers can use to embed dashboards or automate query runs, which is useful for building lightweight internal data products.
Performance and Scale
Mode executes queries against your connected data source, so performance depends on your warehouse, not Mode’s servers. Rendering and caching are solid for typical team-scale workloads.
Redash performance is similarly warehouse-dependent. At scale, the self-hosted setup requires tuning. Heavy query loads and many concurrent users mean you need to scale Celery workers, Redis, and the Postgres metadata database. It is manageable, but adds operational overhead that has no equivalent on the Mode side. Read more about scaling BI tools for small data teams if this is a concern for your setup.
Support and Documentation
Mode offers email support on paid plans and maintains solid documentation. The community is smaller than it was before the ThoughtSpot acquisition but still active. Response times on paid plans are generally reasonable for non-critical issues.
Redash is community-supported through GitHub issues and a Discourse forum. There is no paid support tier, no SLA, and no guarantee your urgent problem gets resolved fast. For teams where dashboard downtime directly affects business operations, that gap in formal support is a meaningful risk factor.
Which One Wins for Your Use Case
Pick Mode If…
You are a data analyst or small analytics team inside a company that can budget for a SaaS product. You need to share polished reports with non-technical stakeholders on a regular cadence. You want Python and R in the same environment as your SQL. You value managed infrastructure and do not want to think about server uptime, Docker upgrades, or database maintenance. Your org already uses ThoughtSpot and wants tighter integration across the analytics stack.
Pick Redash If…
You are cost-constrained and have someone on the team who can handle a Docker-based self-hosted deployment. You need broad connector coverage for data sources that Mode does not support. You are building an internal dashboard tool for a small engineering or ops team. Data privacy is a hard requirement and keeping data on your own infrastructure is non-negotiable. You need lightweight dashboards without the overhead of a full notebook environment.
Consider Something Else If…
You need real-time streaming dashboards, embedded analytics inside a customer-facing product, or enterprise-grade row-level security and governance. In those cases, tools like Metabase, Grafana, Superset, or Looker may be more appropriate for your requirements. Browse /category/bi-tools/ for a full comparison of alternatives across different use cases, team sizes, and budget ranges.
Frequently Asked Questions
Is there a free version of Mode?
Yes. Mode offers a free tier for individual analysts that includes SQL querying, chart building, and report sharing with limited features. Team collaboration and advanced capabilities require a paid plan, which starts around $600 per month. The free tier is a reasonable way to evaluate the product before committing to a budget conversation.
Is Redash still actively maintained in 2026?
Yes. The open-source Redash codebase continues to receive community contributions on GitHub. The official managed cloud service was discontinued by Databricks, but self-hosted deployments remain widely used and the community forum stays active. New connectors and bug fixes appear regularly from community contributors.
Which tool has a shorter learning curve?
Redash is arguably faster to get your first dashboard running, assuming you can handle the self-hosted setup. Mode’s interface is more polished but has more concepts to learn, particularly if you want to use the Python and R notebook features. For a pure SQL-to-dashboard workflow, both tools come up to speed within a few hours.
Can I migrate from Redash to Mode?
There is no automated migration path between the two. Your SQL queries can be copied manually, but dashboards and visualizations will need to be rebuilt from scratch in Mode. For smaller deployments with a few dozen queries, expect a few days of migration work. For large Redash instances with hundreds of queries and multiple dashboards, plan a longer timeline and prioritize which reports actually matter before starting.
What kind of support does Redash offer?
Redash is entirely community-supported through GitHub issues and a Discourse forum. There is no paid support tier, no official SLA, and no dedicated support team. Independent consultants who specialize in Redash exist and can be found through the community, but you will need to source and vet them yourself.
Bottom Line
Mode is the stronger product for data teams that value polish, managed infrastructure, and a collaborative reporting experience. Redash is the smarter choice for budget-conscious teams with DevOps capacity who want open-source flexibility and full control over their data environment. The decision usually comes down to one practical question: are you willing to pay a monthly SaaS bill to avoid managing your own servers? If yes, Mode. If no, Redash.
Both tools do the core job well: getting SQL query results in front of the people who need to see them. Mode does it with more features and more cost. Redash does it with more control and more operational responsibility. Neither is the wrong answer if it matches your actual team constraints.
Want to try Mode? Start with Mode and see if it fits your workflow.