9 Best Apache Superset Alternatives for Business Intelligence (2026)

Powerdrill Bloom·October 9, 2026

The best Apache Superset alternatives for business intelligence are Powerdrill Bloom, Metabase, Grafana, Evidence, Holistics, Steep, Power BI, Tableau, and Zoho Analytics. Each one turns data into charts and dashboards, but they differ in hosting, setup, and who builds the reports. The list covers open-source BI, analytics as code, metrics-first tools, enterprise suites, and an AI workspace that answers questions from files and databases.

This list is ordered for reading rather than ranked by score. A tool appearing above another says nothing about which suits your team better. Every price below was read from the vendor's own pricing page on October 9, 2026.

Why people look for Apache Superset alternatives

Apache Superset has a clear identity. Its homepage calls it "an open-source modern data exploration and visualization platform." It ships with more than 40 pre-installed visualization types, a no-code chart builder, and a SQL editor called SQL Lab.

Its README describes its scope: "Superset can replace or augment proprietary business intelligence tools for many teams." Some teams still look for a Superset alternative, for practical reasons:

Running it yourself. Superset is free, but someone has to install, upgrade, and secure it. Search suggestions for Superset are full of installation questions, from Windows to Ubuntu.
Users who do not write SQL. Superset offers a no-code chart builder, but its depth sits in SQL. Business users may prefer to ask questions in natural language.
Governed metrics. Teams that define metrics once and reuse them everywhere may want a semantic layer they manage as code.
Support and compliance. Some organizations need a vendor contract, single sign-on, audit logs, and an uptime commitment.
AI features. Suggestions such as "superset ai alternatives" show that some readers want AI built in.

Search suggestions also point to openness and price. Suggestions include "superset alternatives open source" and "superset free alternatives," so both get their own section below.

How these tools were evaluated

Seventeen candidates were assessed. Eight were removed. Nine made the list.

Every candidate had to pass three checks on its own pricing page on the day of review. The page title had to name the product. The page had to show readable tier prices in US dollars. And no promotional qualifier could sit beside those prices, because a limited-time price cannot be quoted as a stable fact.

Where a page offered both monthly and annual billing, both views were read when the page showed them. Each price below states which billing view it comes from. A price also had to say how it is billed, so a reader knows what the number means.

Candidates also had to build charts and dashboards from data, the core job of a BI tool. Tools built for another main job were set aside.

The eight removals fell into two groups:

Billing basis not stated (5). Hex, Count, Lightdash, Rill, and Basedash listed monthly amounts without saying whether they are billed monthly or annually. Their pages showed no billing switch during review.
Passed, but left out (3). Preset passed every check, but it is the hosted version of Superset itself, so it appears in the Superset section below. Databox passed too, but it centers on KPI tracking from business apps rather than SQL-first BI. Luzmo passed with a single annual plan, but it is built for embedding analytics inside a software product.

These checks expire. A tool removed today may pass next month, and a listed tool may change its page. They are worth re-running before any purchase.

Quick comparison

Tool	Best for	Entry paid price	Free option
Powerdrill Bloom	Asking questions of databases and files, then getting sourced charts, reports, and slides	Pro $199.00 per year	Yes
Metabase	Open-source self-service BI with a visual query builder	Starter $90 per month billed yearly, or $100 billed monthly	Open Source edition
Grafana	Dashboards for time series, metrics, and logs	Pro from $19 per month plus usage	Yes
Evidence	BI as code, with reports written in Markdown and SQL	Team $2,500 per month, billed monthly	30-day trial
Holistics	A programmable semantic layer and analytics as code	Entry $800 per month billed yearly, or $960 billed monthly	Free trial
Steep	Metrics-first exploration with AI answers	Pro $15 per seat per month, billed yearly	Free up to 3 seats
Power BI	BI inside the Microsoft ecosystem	Pro $14.00 per user per month, paid yearly	Free account
Tableau	Enterprise visual analytics in the cloud or self-hosted	Standard from $15 per user per month, billed annually	Free trial
Zoho Analytics	Self-service BI with many data connectors	Basic US$24 per month, billed annually	Free Plan

1. Powerdrill Bloom

What it does

Powerdrill Bloom is an AI workspace that answers questions about databases and files, then turns the results into charts, reports, and slides. Its chat with database page carries the headline "Chat with Your SQL Databases," with a three-step flow: connect, ask, and get results.

Against Superset, it replaces a different starting point. Superset starts from a chart builder or a SQL editor. Powerdrill Bloom starts from a question asked in natural language and writes the query for you.

It suits business users who need answers from a database or a set of exports without writing SQL. It also suits analysts who want the finding, the chart, and the deck to come from one source.

Key features

Text-to-SQL. Its data connectors page says text-to-SQL lets you "translate natural language queries into accurate SQL commands."
Uploads. The Free plan lists "Upload Excel, CSV, PDF, and docs," so exports can sit beside database tables.
Built-in open data. Plans list "Search built-in open data sources," such as market prices and economic statistics.
Sourced numbers. Its homepage says "Every number comes back with the page, the row and the figure behind it."
Finished outputs. Paid plans list "Create slides, Office docs, Excel analysis, and Nano Banana images."

For a first test, you can try Powerdrill Bloom with one question you already answer every week.

Pricing

The pricing page lists Free at $0.00 and Pro at $199.00 per year. Plus is $399.00 per year, and Premium is $1,990.00 per year. Team Pro is $199.00 per seat per year. Every plan includes 1,000 daily refreshed credits, and paid plans add 5,000, 11,000, or 60,000 monthly credits.

Pros

Questions in natural language become queries, charts, and written findings.
Database tables, uploaded files, and built-in open data can feed one analysis.
Numbers trace back to the page and row behind them.
The same analysis can become a report or a slide deck.

Cons

Its pages describe a hosted workspace and on-premise or private-cloud deployment, but they do not describe an open-source edition.
Usage is credit-based, so heavy analysis draws down the allowance faster.
The Free plan includes 1 scheduled task, while paid plans include 20.

2. Metabase

What it does

Metabase is an open-source BI tool, like Superset. Its site guide calls it "an open-source business intelligence platform trusted by over 100,000 companies." Teams use it to query databases, build dashboards, and let non-technical users explore data.

Against Superset, Metabase leans harder on point-and-click questions. Its guide names three ways in: "a visual query builder, a SQL editor, or natural language with Metabot AI."

It suits teams that want open-source BI that business users can operate without SQL, with a hosted option when needed.

Key features

Four editions. A free, AGPL-licensed Open Source edition, plus Starter, Pro, and Enterprise on Metabase Cloud or self-hosted.
Metabot AI. Natural language questions and SQL generation sit alongside the visual query builder.
Embedded analytics. Dashboards and self-serve reporting can run inside your own product.
Developer tools. The guide lists an MCP server, a command-line tool, and a custom visualization SDK.
Transforms. Starter and Pro include 1,000 transform runs before usage billing starts.

Pricing

The pricing page lists Open Source as free. Starter is $100 per month billed monthly, or $90 per month billed yearly at $1,080 per year. It includes the first 5 users, then $6 per user per month.

Pro is $575 per month billed monthly, or $517.50 per month billed yearly at $6,210 per year, with the first 10 users included. Enterprise "starts at $20,000 / year." Metabase's own AI service is $3.75 per 1 million tokens, or you can bring your own provider key.

Pros

The Open Source edition is free to self-host.
Business users can build questions without SQL.
Hosted plans remove the upgrade and server work.
Embedding is built in for software companies.

Cons

Self-hosting the Open Source edition means managing your own infrastructure.
Pro is $575 per month billed monthly, against $100 for Starter.
AI usage through Metabase's service is billed by tokens on top of the plan.

3. Grafana

What it does

Grafana is an open-source dashboard tool built for observability. Grafana Labs describes itself as building "open and composable observability software." Its docs define a dashboard as "a set of one or more panels that provide an at-a-glance view of related information."

Against Superset, Grafana centers on time series: metrics, logs, and traces that change by the second. Superset centers on exploring business tables.

It suits engineering and operations teams that want live system dashboards, and anyone whose key data is time-stamped.

Key features

Many data sources. The docs say "A data source can be an SQL database, Grafana Loki, Grafana Mimir, or a JSON-based API."
Plugins. The docs mention more than 150 data source plugins for one unified dashboard.
Visualizations. Panels range from time series graphs to heatmaps.
Open source or cloud. Grafana OSS runs on your own servers, and Grafana Cloud is hosted.
Alerting. Dashboards connect to alerts and incident tools in the same stack.

Pricing

The pricing page lists a Free tier at $0, "Always free." Pro is self-serve "From $19 / month + usage," a platform fee plus pay-as-you-go usage. Enterprise starts at $25,000 per year in committed spend.

For dashboard users, the Free tier is limited to 3 active users per month. Pro starts at $8 per active user.

Pros

Built for live, time-stamped data from many sources.
Open-source and hosted versions share the same core.
A free tier covers small teams and personal projects.
Alerts and dashboards live in one place.

Cons

Pricing combines a platform fee with usage, which takes planning to forecast.
Its pages focus on observability, so business reporting is not the main use case described.
The free tier caps dashboard use at 3 active users per month.

4. Evidence

What it does

Evidence describes itself as "Business intelligence for teams and agents." Its homepage says it offers "BI as code so your team and their agents can build and ship analytics together."

Against Superset, Evidence replaces a click-built dashboard with a file in a repository. Its homepage says reports and dashboards are "Defined as Markdown files with SQL and components."

It suits data teams that already work in Git and want every report reviewed, versioned, and deployed like software.

Key features

Everything as code. Reports, access rules, and themes live in files in a repository.
Analytics agent. You can build an agent with custom context and skills.
Git workflow. The homepage lists push to deploy, instant rollback, and branch previews.
Cloud editor and CLI. Evidence Studio runs in the browser, and a CLI supports local previews.
Slack and MCP. The Team plan includes a Slack bot and an MCP connection.

Pricing

The pricing page lists Team at $2,500 per month, with flat monthly billing and unlimited users. It includes 20K AI credits, and you can start with a 30-day trial. Enterprise is custom, on an annual contract, and adds SSO, SCIM, and deployment on your own infrastructure.

Pros

One flat price covers unlimited users.
Reports get code review, version history, and previews.
Coding agents can help build and maintain reports.
Enterprise can deploy on your own infrastructure.

Cons

The pricing page lists one priced plan, Team at $2,500 per month, with Enterprise priced through sales.
Reports are authored in Markdown and SQL, so business users depend on the data team.
The pricing page lists a 30-day trial rather than a free plan.

5. Holistics

What it does

Holistics is a BI platform built around a semantic layer you manage as code. Its site guide calls it "an AI analytics platform built on a programmable semantic layer (AML) and a composable, AI-native query language (AQL)."

Against Superset, Holistics puts more of the work into the model. Superset's semantic layer is described as lightweight, while Holistics makes models, relationships, and metrics version-controlled code.

It suits data teams that want governed self-service, where business users explore safely on top of shared definitions.

Key features

AML semantic layer. Models, relationships, and reusable metrics are defined as code.
AQL. A query language for governed metrics, which Holistics positions as an alternative to raw SQL.
Canvas dashboards. A drag-and-drop canvas for narrative reports, extensible with code.
Data delivery. Reports go out on a schedule by email, Slack, and other channels.
dbt and Git. The Entry plan lists dbt integration and Git version control.

Pricing

The pricing page lists Entry at $960 per month billed monthly, or $800 per month billed yearly, with 100 reports and the first 10 users. Standard is $1200 per month, or $1000 per month billed yearly, with unlimited reports. Security Compliance Suite is $2400 per month, or $2000 per month billed yearly. On Entry and Standard, an additional user is $15 per month, or $12.5 billed yearly.

Pros

Metrics are defined once and reused across reports.
Analytics as code supports review and version control.
Data centers are offered in the US, Europe, and Asia-Pacific.
Scheduled delivery reaches people where they work.

Cons

Entry, the lowest listed tier, is $800 per month billed yearly.
Getting value depends on modeling work in AML.
The pricing page lists free trials rather than a free plan.

6. Steep

What it does

Steep is a metrics-first BI tool. Its overview describes "a metrics-first BI and AI analytics platform" where teams define shared metrics, dimensions, and entities in a governed semantic model.

Against Superset, Steep starts from metrics rather than charts. Business users pick a metric and explore it, or ask a question and get a grounded answer.

It suits companies that want business users to self-serve on a small set of trusted metrics, on desktop and mobile.

Key features

Semantic model. Governed metrics, dimensions, entities, and permissions in one model.
Metrics catalog. Shared definitions that every team can browse.
AI answers. The overview says users get "grounded outputs as charts, tables, and text based on your semantic model."
Integrations. Native links to the dbt Cloud semantic layer and the Cube semantic layer.
Databases. Connectors cover BigQuery, Snowflake, Databricks, Redshift, PostgreSQL, and more.

Pricing

The pricing page, in its billed-yearly view in USD, lists Pro at $15 per seat per month, free for up to 3 seats. Pro includes up to 80 metrics. Business is $25 per seat per month, with a free trial. Enterprise is custom.

Pros

Small teams can start free with up to 3 seats.
AI answers are tied to defined metrics.
Native mobile apps keep metrics close at hand.
Metric definitions can sync from dbt Cloud or Cube.

Cons

Pro caps the semantic model at 80 metrics.
Multiple data sources are listed on the Enterprise plan.
The page shows the yearly view by default, so check the monthly rate before you buy.

7. Power BI

What it does

Power BI is Microsoft's business intelligence product. Its product page says you can "Visualize any data and use Copilot in Microsoft Fabric to quickly explore, explain, and take action."

Against Superset, Power BI trades openness for depth inside the Microsoft ecosystem. It connects to Microsoft Fabric, OneLake, and the rest of Microsoft 365.

It suits organizations already on Microsoft 365 that want BI with familiar sharing and licensing.

Key features

Copilot. Microsoft Learn says the report Copilot pane is generally available, while the standalone Power BI agent is in preview.
Report authoring. Copilot can help create report pages and write DAX queries.
Microsoft Fabric. Power BI connects to Fabric for ingestion through visualization.
Embedding. Power BI Embedded puts reports inside your own apps.
Free authoring. A free account lets you create reports before you share them.

Pricing

The pricing page lists a Free account, included in the Microsoft Fabric free account. Power BI Pro is $14.00 per user per month, paid yearly. Power BI Premium Per User is $24.00 per user per month, paid yearly.

Pros

Familiar for teams already using Excel and Microsoft 365.
Copilot is built into report authoring.
Free authoring lets you build before you buy.
Power BI Embedded puts reports inside your own apps.

Cons

The pricing page says to "Upgrade to Pro or Premium to share reports."
Per-user pricing grows with every person who needs access.
Its pages describe Power BI inside Microsoft Fabric, which matters if your stack is elsewhere.

8. Tableau

What it does

Tableau is a visual analytics platform with desktop, cloud, and server products. Its product page describes Tableau Cloud as a hosted solution. It lets you "connect your data, analyze it with powerful visual analytics, and share insights securely."

Against Superset, Tableau offers a hosted cloud, a self-hosted server, and a desktop app under one name. Tableau Server is described as "A self-hosted agentic analytics solution."

It suits large organizations that want visual analytics with options for both cloud and self-hosting.

Key features

Tableau Desktop and Prep Builder. Included in the Standard edition for authoring and data preparation.
Tableau Pulse. Listed in the Standard edition for metric insights.
Tableau Agent. Listed in Tableau Cloud+ for AI help across the platform.
Tableau Server. A self-hosted option for data residency and compliance needs.
Tableau Next. Insights delivered in CRM and Slack.

Pricing

The pricing page lists Tableau Cloud Standard starting at $15 per user per month, billed annually. Tableau Enterprise starts at $35 per user per month, billed annually. Tableau Cloud+ and the Tableau+ bundle are priced through sales.

Pros

Visual analytics across a desktop app, a hosted cloud, and a self-hosted server.
Cloud, server, and desktop options under one product family.
Data preparation tools are included.
AI features are built into higher editions.

Cons

The page notes "This solution requires an annual contract, billed annually."
Every deployment requires at least one Creator license, and the starting price covers the entry edition.
AI features such as Tableau Agent sit in editions priced through sales.

9. Zoho Analytics

What it does

Zoho Analytics is a self-service BI platform from Zoho. Its site guide calls it "a self-service business intelligence and analytics platform by Zoho Corporation." It includes an AI assistant called Ask Zia for multi-step BI tasks.

Against Superset, Zoho Analytics adds hundreds of ready connectors and a lower entry price. The guide lists data preparation, blending, and diagnostic insights across "500+ data sources."

It suits small and midsize businesses that want hosted BI with many connectors and predictable pricing.

Key features

Ask Zia. An AI assistant that can set up pipelines, build reports and dashboards, and generate insights.
Connectors. The guide lists more than 500 data sources.
Deployment options. Cloud, on-premise, and white-labeled embedded analytics.
MCP server. In beta, for external AI agents to work with Zoho Analytics data.
Mobile apps. Available on iOS and Android.

Pricing

The pricing page, in its billed-annually view, lists Basic at US$24 per month, starting at 2 users and 0.5 million rows. Standard is US$48 per month for 5 users, and Premium is US$115 per month for 15 users. Enterprise is US$455 per month for 50 users. A Free Plan covers 2 users, 10K rows, and 5 workspaces.

Pros

A Free Plan and a low entry price.
Many ready connectors for business apps.
On-premise and embedded options are listed.
An AI assistant is included.

Cons

Plans are sized by rows, so growing data can push you up a tier.
The page shows the annual view by default, so check monthly rates before you buy.
Extra users are billed per user on top of the plan.

What Apache Superset itself offers

Before switching, it is worth knowing what Superset already does well. Its homepage lists "40+ pre-installed visualizations," support for "drag-and-drop and SQL queries," and data caching for faster dashboards. It also lists cross-filters, drill-to-detail, and a semantic layer.

Connectivity is a strength. The homepage says "Superset can connect to any SQL-based databases including modern cloud-native databases and engines at petabyte scale." The README adds highly extensible security roles and an API for programmatic customization.

Superset is licensed under the Apache License, so the software itself is free. The cost is the time to install, run, and upgrade it. The README links to a Docker Compose quickstart and an official Helm chart for production deployments.

A hosted path exists too. Preset offers Superset in the cloud. Its Starter plan is "$0 Forever, for up to 5 users." Professional is $20 per user per month billed annually, or $25 billed monthly, and Enterprise is custom.

Free and open-source options compared

Search suggestions show readers looking for free and open-source Superset alternatives. Each line below comes from the vendor's own pages:

Tool	Free or open-source option
Apache Superset	Open source under the Apache License
Preset (hosted Superset)	Starter plan, $0 for up to 5 users
Powerdrill Bloom	Free plan with 1,000 daily refreshed credits
Metabase	Free, AGPL-licensed Open Source edition to self-host
Grafana	Free tier at $0, plus the open-source Grafana OSS
Evidence	30-day trial of the Team plan
Holistics	Free trial
Steep	Pro plan free for up to 3 seats
Power BI	Free account for authoring; sharing needs Pro or Premium
Tableau	Free trial
Zoho Analytics	Free Plan with 2 users and 10K rows

In this table, Superset, Metabase, and Grafana are the options whose pages describe an open-source edition. The other free options listed are hosted plans or trials, which limit users, rows, credits, or time.

A workflow that combines them

These tools can also work in sequence. A simple sequence looks like this:

Model the metrics. Define shared metrics in Holistics, Steep, or Evidence, or in Superset's semantic layer.
Build standing dashboards. Use Superset, Metabase, Power BI, Tableau, or Zoho Analytics for the reports people check every week.
Watch systems live. Use Grafana for time-stamped operational data.
Answer one-off questions. Use Powerdrill Bloom when a question mixes a database table with an export or a PDF.
Check every number. Before a chart reaches a meeting, trace each figure back to its query or source row.

The last step matters most. A dashboard that looks right but counts the wrong thing can mislead a whole meeting.

How to choose between them

Pick by who builds the reports and where you want them to run.

Choose	If you
Powerdrill Bloom	Want answers, charts, and decks from databases and files without writing SQL
Metabase	Want open-source BI that business users can run themselves
Grafana	Mostly track time-stamped system or product metrics
Evidence	Want reports reviewed and deployed as code in Git
Holistics	Want a governed semantic layer managed as code
Steep	Want business users exploring a small set of trusted metrics
Power BI	Already run on Microsoft 365 and want BI inside it
Tableau	Need visual analytics with cloud, server, and desktop options
Zoho Analytics	Want hosted BI with many connectors at a low entry price

If you are unsure, test one open-source tool and one hosted tool on the same question. The comparison shows quickly whether running your own server is worth the control it gives you.

Final verdict

The nine tools fall into four groups.

Open-source BI you can run yourself. Metabase and Grafana both offer open-source editions, like Superset. Metabase centers on business questions and dashboards, while Grafana centers on time series and monitoring.

Analytics as code. Evidence and Holistics both put reports and models in version-controlled code. Evidence writes reports as Markdown with SQL, while Holistics builds a semantic layer that business users explore.

Questions first. Powerdrill Bloom and Steep both let business users ask questions in natural language. Steep grounds answers in a governed semantic model on a warehouse. Powerdrill Bloom answers from databases, uploaded files, and built-in open data, with sources attached.

Enterprise suites. Power BI, Tableau, and Zoho Analytics offer full BI suites with AI assistants, vendor support, and hosted options.

For a deeper look at one of the open-source options, see Powerdrill Bloom vs. Metabase and the list of Metabase alternatives. For the basics of the format itself, see what a data dashboard is.

Frequently asked questions

What is Apache Superset used for?

Apache Superset is used to explore data and build charts and dashboards from SQL databases. It offers a no-code chart builder, a SQL editor, and more than 40 visualization types. Because it is open source, teams can self-host it as a free business intelligence tool.

Is there an open-source alternative to Apache Superset?

Yes. Metabase offers a free, AGPL-licensed Open Source edition, and Grafana offers the open-source Grafana OSS. Metabase suits business dashboards, while Grafana suits time series and monitoring.

What is the best free alternative to Apache Superset?

It depends on your data and team. Metabase's Open Source edition is free and, like Superset, open source. Zoho Analytics has a Free Plan for 2 users, and Steep's Pro plan is free for up to 3 seats. Powerdrill Bloom also has a Free plan.

Which Superset alternative is easiest for non-technical users?

Tools that accept questions in natural language lower the bar. Powerdrill Bloom writes the query from your question, Metabase offers Metabot AI and a visual query builder, and Steep answers from defined metrics.

How were the prices on this list verified?

Each price was read from the vendor's own pricing page on October 9, 2026. A tool stayed on the list only if its page showed readable US-dollar prices and stated how they are billed. No promotional qualifier could sit beside those prices.

Sources: Apache Superset homepage · Apache Superset on GitHub · Preset pricing · Metabase pricing · Metabase site guide · Grafana pricing · Grafana Cloud visualization docs · Evidence pricing · Evidence homepage · Holistics pricing · Holistics site guide · Steep pricing · Steep overview · Power BI pricing · Microsoft Learn, Copilot for Power BI overview · Tableau pricing · Tableau products · Zoho Analytics pricing · Zoho Analytics site guide. Prices read from each vendor's pricing page on October 9, 2026.