Data & Analytics
Hex vs Julius AI.
Both are Data & Analytics tools, scored on the same six pillars by the same published method. Here's where they part company.
The short answer
Hex scores higher — 81.8 against 75.6, a margin of 6.2 points. That is the overall answer, not the whole one: the pillar breakdown below is where the decision usually actually gets made.
Hex leads on integrations & ecosystem and maturity & reliability.
Hex Technologies
81.8
Strong
Reactive notebooks with an AI agent that writes the SQL and Python.
- From
- Free (Community, up to 5 notebooks) / $36 per editor per month (Professional)
- Pricing
- Freemium
- Maturity
- Established
- Founded
- 2019
Julius AI, Inc.
75.6
Strong
Chat with your spreadsheets: natural-language analysis, charts and notebooks.
- From
- Free (15 messages/mo) / $35 per month (Plus)
- Pricing
- Freemium
- Maturity
- Emerging
- Founded
- 2023
Pillar by pillar
The same six pillars and fixed weights used for every tool on the site. A lead of fewer than 5 points is not called for either side — these are evidence-backed judgements, not measurements. Read the methodology.
Capability
Level
Value for Money
Level
Security & Compliance
Level
Integrations & Ecosystem
Hex by 17
Maturity & Reliability
Hex by 17
Momentum
Level
Which one, and when
Pick Hex if
- →it has to fit the stack you already run — it leads Integrations & Ecosystem by 17 points.
- →it has to hold up in production from day one — it leads Maturity & Reliability by 17 points.
- →Data teams that want one workflow from warehouse query to published data app
- →Analytics orgs needing SOC 2/HIPAA-grade compliance on a notebook tool
- →Publishing interactive data apps for non-technical stakeholders without a BI rollout
The catch
- Professional and Team tiers ($36 and $75 per editor per month) cost more than a general assistant for a single spreadsheet question
- Built for data teams; SQL or Python fluency still helps even with the AI layer doing the writing
Pick Julius AI if
- →Marketers and operators exploring a dataset without writing code
- →Client-facing reports and campaign tracking
- →Teams that want repeatable analysis Notebooks without a BI rollout
The catch
- Accuracy grows inconsistent once analysis moves past basic aggregation into real statistical work
- No guaranteed reproducibility, which matters for audit-ready reporting
What each is good at
Hex
- ✓Reactive notebook combines SQL, Python and no-code cells in one workspace, publishing directly to interactive data apps
- ✓Magic AI and the Notebook Agent write and debug SQL/Python from plain-English prompts and can generate full analysis sections
- ✓SOC 2 Type II, HIPAA, GDPR and ISO 27001 compliant, with enterprise customers including Cisco, HubSpot and Reddit
Julius AI
- ✓Answers plain-English questions over spreadsheets and CSVs without formulas or SQL
- ✓Reliable on standard aggregations (means, counts, sums, group-bys) with auto-generated charts
- ✓SOC 2 Type II and GDPR-compliant, with per-user sandboxed Python execution
Other comparisons in Data & Analytics
Comparing something else? Build your own side-by-side across any tools in the catalog.