Which data sources does Julius connect to?

Julius natively integrates with Snowflake, BigQuery, MySQL, PostgreSQL and SQL Server, and connects to Google Drive, OneDrive and SharePoint for files. You can also upload spreadsheets, documents and data files directly.

How does Julius query a database with thousands of tables?

It builds a semantic layer of your schema as you query, so it selects only the tables relevant to a question instead of tackling all of them at once. You can also connect with a manually filtered schema or supply your own data dictionary.

Is Julius secure enough for company data?

Julius states that it is SOC 2 Type II compliant. The Enterprise tier adds SSO, audit logging and fine-grained role-based access controls for organisations that need them.

What else can Julius make besides analyses?

Every plan, including Free, can create presentations, reports and dashboards, websites, images and video in the same workspace. Paid plans mainly add more credits, more RAM and access to frontier models rather than unlocking these output types.

Julius AI

Freemium

AI data analyst that chats with your spreadsheets and databases

Last updated: 2026-11-05

AI Analytics AI Assistant

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What is Julius AI?

Julius AI is a data-analysis workspace built around a chat box. Upload a spreadsheet, document or data file — or connect a live database — and ask questions in plain language; Julius runs the analysis itself and answers with charts, tables and written explanations, adding citations when it researches. It connects natively to Snowflake, BigQuery, MySQL, PostgreSQL and SQL Server, and pulls files from Google Drive, OneDrive and SharePoint. For warehouses with thousands of tables, it first builds a semantic layer of the schema so queries only touch relevant tables.

Analysis is only part of the workspace. Every plan also creates presentations, reports and dashboards, websites you can publish on a custom Julius domain, and images and video; paid tiers mainly raise the credit allowance and unlock frontier models such as GPT-6.1 Sol and Claude Opus 5.5. Julius states it is SOC 2 Type II compliant. It is aimed at founders, operators, marketers and analysts who live in spreadsheets but do not want to write SQL or Python for every question, and at small teams that need database reporting without a data hire.

Key features

Chat-based analysis of uploaded spreadsheets, documents and data files
Native connectors for Snowflake, BigQuery, MySQL, PostgreSQL and SQL Server
File access through Google Drive, OneDrive and SharePoint
Charts, reports and dashboards generated from your data
Browser and parallel agents for research, with cited answers
Presentations, websites, images and video created in the same workspace
Semantic layer that maps large warehouse schemas before querying

How to use Julius AI

1
Add your data
Upload a spreadsheet, document or data file, or connect a database such as Snowflake, BigQuery or Postgres, or a Drive, OneDrive or SharePoint folder.
2
Ask in plain language
Type a question about the data. Julius writes and runs the analysis itself, building a semantic layer of the schema first when the database is large.
3
Read and refine the answer
Answers come back as charts, tables and written explanations. Ask follow-ups to slice the data differently or dig into an anomaly.
4
Turn it into an output
Convert the analysis into a presentation, a report or dashboard, or a website published on your custom Julius domain, and export or share it.

Julius AI pricing

Plan	Price	Period
Free	$0	per monthDaily credit allowance; analysis, presentations, websites, images and video are available on every plan, including Free
Plus	$20	per month2,000 credits a month plus 100 daily refresh credits, frontier models, file analysis with charts and presentations, 16 GB RAM and 7-day file storage; $16 per month billed annually
Pro	$45	per month5,000 credits a month, 32 GB RAM, unlimited parallel agents and priority email support; $37 per month billed annually
Business	$450	per month60,000 credits a month, up to 50 team members, Postgres, BigQuery and Snowflake connectors with no table limit in data connections; $375 per month billed annually
Enterprise	Custom	—For multiple internal teams, adding SSO, audit logging and fine-grained RBAC on top of Business