# Supaboard vs Julius AI > Seventeen capabilities compared, from price and connectors to AI analysts, alerts, MCP support and answer accuracy, each figure sourced to Julius AI's own pages. HTML version: https://supaboard.ai/compare/julius-ai ## At a glance | Row | Supaboard | Julius AI | | --- | --- | --- | | Price | **$99/seat/mo** — Or $83 billed annually. Usage credits are in the seat | **$20–$450/mo** — four individual/team tiers monthly (Plus $20, Pro $45, Max $200, Business $450), about 20% less billed annually; Business is a flat fee for up to 50 members, not per-seat (https://julius.ai/pricing, checked 2026-09-10) | | AI native | **Yes** — The agent is the product, not a panel added to a dashboard tool | **Yes** — an AI workspace built chat-first, generating code, charts, decks, and sites from one prompt thread (https://julius.ai/docs/get-started/what-is-Julius-AI, checked 2026-09-10) | | AI data analysts | **Yes** — Agents tuned on your business rules and metric definitions, with the SQL shown beside every answer | **Partial** — custom agents can be shared for repeatable team Q&A, but the core loop is one person chatting with one connected dataset (https://julius.ai/product/custom-agents, checked 2026-09-10) | | Deep reasoning | **Yes** — Deep Dive answers why a number moved and what to do next, not only what it is | **Partial** — explains patterns and can run statistical or predictive analysis on request, but there is no dedicated multi-step reasoning mode across a session (https://julius.ai/product/chat-with-your-data, checked 2026-09-10) | | Data apps, AI made | **Yes** — Live data apps on your own design system, from a prompt | **Partial** — the AI website builder turns a prompt into an interactive app or dashboard and publishes a shareable link (https://julius.ai/docs/get-started/what-is-Julius-AI, checked 2026-09-10) | | Dashboards, AI made | **Yes** — A live dashboard from a single prompt | **Partial** — pricing page promises shareable dashboards generated from data, but no evidence they refresh live rather than being a point-in-time export (https://julius.ai/pricing, checked 2026-09-10) | | AI workflows | **Yes** — One prompt builds the whole chain: detect, analyse, export and route the result | **Partial** — scheduled runs can repost a saved prompt to Slack on a cadence, but there is no builder for a multi-step detect-analyze-export-route pipeline (https://julius.ai/product/slack-agent, checked 2026-09-10) | | Alerts | **Yes** — Threshold and anomaly alerts described in plain English, which analyse the change rather than only announce it | **No** — no threshold or anomaly alerting product feature found; anomaly detection appears only as an educational glossary term | | Automated reporting | **Yes** — Scheduled reports written by an agent and delivered as PDF, PowerPoint or Excel | **Partial** — scheduled runs deliver reports to Slack on a recurring cadence, limited on lower tiers and unlimited on Business; no native email or PDF/PPT/Excel delivery schedule documented (https://julius.ai/pricing, checked 2026-09-10) | | Cross-source data query | **Yes** — One question spanning every connected source | **Partial** — markets a single workspace across every connected source, but documented examples query one connector at a time rather than joining two live sources in one question (https://julius.ai/product/data-connectors, checked 2026-09-10) | | Python scripts | **Yes** — SQL and Python in one editor, over every connected source | **Yes** — generates and runs real Python/SQL code and shows it beside every answer (https://julius.ai/docs/get-started/what-is-Julius-AI, checked 2026-09-10) | | Slack, Teams, Claude, ChatGPT | **Yes** — Slack, Teams, Claude, ChatGPT and Cursor | **Slack only** — ships a native Slack agent; no published native presence in Teams, Claude, ChatGPT, or Cursor (https://julius.ai/product/slack-agent, checked 2026-09-10) | | MCP support | **Yes** — In both directions: we expose one, and we read yours | **Partial** — consumes external MCP servers (Notion, GitHub, Intercom, Zapier) as a client; no published Julius-hosted MCP server for other tools to pull from (https://julius.ai/articles/launch-week-2025, checked 2026-09-10) | | Query bench | **Yes** — SQL and Python with schema-aware autocomplete, and AI edits proposed as a diff you approve | **No** — the Notebooks feature that let you view, edit, and rerun generated SQL/Python was sunset in August 2026 in favor of single-prompt chat only (https://julius.ai/product/notebooks, checked 2026-09-10) | | Context and memory management | **Yes** — Rulesets, knowledge, dropped files and MCP sources such as Notion | **Partial** — custom agents can be trained on schemas, data dictionaries, and dbt info, and the connector layer learns a schema's business rules over repeated queries, but no single persistent team-wide ruleset is shown (https://julius.ai/product/data-connectors, checked 2026-09-10) | | Connectors | **700+** — Connectable, 124 of them without talking to us | **~11 named** — Postgres, MySQL, SQL Server, Snowflake, BigQuery, Databricks, Supabase, Google Ads, Meta Ads, plus Google Drive/OneDrive/SharePoint; no total catalogue number published, custom connectors on request (https://julius.ai/product/data-connectors, checked 2026-09-10) | | Answer accuracy | **97.8%** — On LegendEHR's tuned agent in production, with a confidence score on every answer | **None** — no accuracy or benchmark percentage published on julius.ai | Last checked 2026-09-10. Julius AI pricing page: https://julius.ai/pricing ## Why choose Supaboard over Julius AI Julius is a fast, pleasant way for one person to turn a file into a chart. Supaboard is built for what comes after that: a whole company's live, connected data, held together by agents that carry the same business rules, dashboards, alerts, and reports across every team member and every session. ## Supaboard vs Julius AI, in our own words Julius AI's pitch is "your AI workspace": upload a file or connect a source, ask a question in plain English, and get back a chart, a written explanation, and the code that produced it, in one chat thread. It also builds presentations, websites, and images from the same thread, so it's positioned as a general knowledge-worker tool, not a dedicated BI product. Pricing runs $20 to $450 a month (about 20% less billed annually), and every tier below the top is priced for one person. That framing raises the real question for a company evaluating it: is this a fast, pleasant way for one analyst to interrogate a spreadsheet, or a system a whole company can run its live, connected data through? ### Where the cost actually lands Julius's Plus and Pro tiers are explicitly "1 seat included," so the $20-$45/mo prices are individual pricing, not team pricing. To get more than one person in the workspace you jump straight to Business at $450/mo ($375 billed annually) for up to 50 members, a flat fee rather than a per-seat rate. There's no middle step between "one analyst" and "a company-wide account," and the database connectors (Postgres, Snowflake, BigQuery, and similar) only unlock at Business or above. ### What is actually different The clearest signal of what Julius is built for is a change it just made: in August 2026 it sunset Notebooks, the one feature that let you view, edit, and re-run generated SQL or Python as a structured, reusable sequence. The stated reason was that a single detailed chat prompt now does the job faster. That's a reasonable bet for one person working a file, but it means Julius has no persistent query bench today, no SQL/Python editor a team comes back to, just chat, one conversation at a time. The same one-conversation shape shows up elsewhere. Julius's data connectors page promises "chat with all your data sources... in one place," and its connector layer does get smarter about a schema the more you query it, plus Custom Agents can be trained on a data dictionary or DBT info. But that's still schema learning inside a single connection, not a company-wide ruleset a whole team draws on. Scheduled Runs can re-post a saved prompt to Slack on a cadence, which covers basic recurring reporting, but there's no builder for a detect-then-analyze-then-export-then-route pipeline, and no threshold or anomaly alerting on live data at all, anomaly detection only shows up in Julius's glossary content as a concept, not a shippable feature. MCP support runs one direction: Julius can pull context from Notion, GitHub, Intercom, or Zapier's MCP, but there's no published Julius-hosted MCP server for other tools to query back. And the only chat surface it ships natively is Slack, nothing in Teams, Claude, ChatGPT, or Cursor. Supaboard is built the opposite way around: SQL and Python live in one editor with schema-aware autocomplete over every connected source, agents carry a company's own metric definitions across sessions and across the team, and that same reasoning layer drives dashboards, data apps, workflows, alerts, and scheduled PDF/PPT/Excel reports as one system rather than five separate outputs. The breadth isn't incidental to the AI, it's what the AI operates on, one prompt can span every connected source because the context and the connectors were built for that from the start. ### What to test if you trial both If you're deciding between them, don't compare chat quality, compare what happens after the first analysis. In Julius, ask a question that spans two different connected sources in one prompt, then come back a week later and try to get a teammate the same answer without re-explaining your business rules. In Supaboard, do the same thing and see whether the ruleset, the SQL, and the dashboard are still there, live, for the whole team. ## FAQ ### Is Julius AI cheaper than Supaboard? Per person, yes. Julius's Plus and Pro tiers run $20-$45/mo for a single seat, well under Supaboard's $99/seat/mo ($83 billed annually). But Julius's database connectors only appear on its Business plan, a flat $450/mo ($375 annually) for up to 50 members, not a per-seat rate, so a small team connecting live data can land close to or above what the same headcount costs on Supaboard. ### Can Supaboard connect to a live database instead of uploading a file each time? Yes. Supaboard connects directly to your warehouses, databases, and SaaS tools (700+ connectors) and queries them live; there's no upload-a-file-per-session step. Julius supports live database connectors too, but only on its Business plan and above. ### What does Supaboard produce that Julius doesn't? Threshold and anomaly alerts on live data, scheduled PDF/PowerPoint/Excel reports written by an agent, one-prompt automations that detect, analyze, export, and route, and a two-way MCP connection. Julius covers scheduled Slack posts and file/report export, but doesn't publish a live alerting feature, an automation builder, or an MCP server of its own. ### Is Julius enough for a solo analyst, or do I need Supaboard? For one person working from files or a single connected source, Julius is a fast, well-built tool, that's genuinely its strength. Supaboard is built for the point past that: a team that needs shared context, live connected data, and outputs (dashboards, reports, workflows) that persist and get reused, not just a chat history. ### Can Supaboard run inside our own infrastructure instead of Julius's cloud? Yes, on Supaboard's Enterprise plan: single-tenant containers in your own VPC, your own model provider keys, and no data egress. Julius's pricing page doesn't publish a self-hosted or single-tenant option; its Enterprise tier is a custom "contact us" plan with unspecified infrastructure terms. ## Other comparisons - [Supaboard vs Microsoft Power BI](https://supaboard.ai/compare/power-bi) - [Supaboard vs Metabase](https://supaboard.ai/compare/metabase) - [Supaboard vs ThoughtSpot](https://supaboard.ai/compare/thoughtspot) - [Supaboard vs Looker](https://supaboard.ai/compare/looker) - [Supaboard vs Qlik](https://supaboard.ai/compare/qlik) - [Supaboard vs Domo](https://supaboard.ai/compare/domo) - [Supaboard vs Sigma](https://supaboard.ai/compare/sigma) - [Supaboard vs Omni](https://supaboard.ai/compare/omni) - [Supaboard vs Zenlytic](https://supaboard.ai/compare/zenlytic) - [Supaboard vs WisdomAI](https://supaboard.ai/compare/wisdom-ai) - [Supaboard vs TextQL](https://supaboard.ai/compare/textql) - [Supaboard vs Sundial](https://supaboard.ai/compare/sundial) - [Supaboard vs Wren AI](https://supaboard.ai/compare/wren-ai) - [Supaboard vs Basedash](https://supaboard.ai/compare/basedash) - [Supaboard vs Hex](https://supaboard.ai/compare/hex) - [Supaboard vs Lightdash](https://supaboard.ai/compare/lightdash) - [Supaboard vs Bruin](https://supaboard.ai/compare/bruin) - [Supaboard vs Snowflake Cortex Analyst](https://supaboard.ai/compare/snowflake-cortex) - [Supaboard vs Databricks Genie](https://supaboard.ai/compare/databricks-genie) - [Supaboard vs Amazon QuickSight](https://supaboard.ai/compare/amazon-quicksight) - [Supaboard vs ChatGPT](https://supaboard.ai/compare/chatgpt) - [Supaboard vs Claude](https://supaboard.ai/compare/claude) --- - Site index for agents: https://supaboard.ai/llms.txt - Sitemap: https://supaboard.ai/sitemap.xml - Blog feed: https://supaboard.ai/blog/rss.xml - Product documentation: https://docs.supaboard.ai Any page on https://supaboard.ai is available as markdown: append `.md` to its path, or send `Accept: text/markdown`.