Julius AI vs Rose.ai: Best AI Data Analyst for Excel and Google Sheets (2026)
I uploaded the same messy sales dataset to both — 5,000 rows, mixed date formats, blank cells, three currency columns. Then I asked each one the same ten questions. Here's what I found.
What These Tools Are Built For
Comparing Julius AI vs Rose.ai for Excel and Google Sheets data analysis starts with understanding that these tools have drifted significantly in their target markets. Julius AI is a general-purpose AI data analyst built for anyone who works with spreadsheet data — marketers, operations teams, small business owners, and analysts without a data science background.
Rose.ai has narrowed toward financial data analysis. Its strengths are in handling structured financial datasets, time-series data, and providing context-aware analysis for investment and finance use cases. It's less of a "chat with your spreadsheet" tool and more of a financial analyst assistant.
For most professionals asking "how do I analyze my Excel data with AI," Julius AI is the practical choice in 2026. Rose.ai is worth knowing about if you work in finance or investment analysis with institutional-grade datasets.
- Upload CSV, Excel, or connect Google Sheets
- Natural language queries on your data
- Auto-generated charts and visualizations
- Formula generation and explanation
- Python code execution for complex analysis
- Natural language queries on financial data
- Time-series and market data analysis
- Auto-generated financial charts
- Data sourcing from financial databases
- API access for institutional workflows
Data Upload and File Handling
Julius AI handles messy real-world data well. When I uploaded my test dataset — the one with inconsistent date formats (MM/DD/YY mixed with YYYY-MM-DD), blank cells scattered throughout, and text in numeric columns — Julius handled it without major errors. It identified the date inconsistency and asked me how I wanted to handle it before proceeding. That's the right behavior.
Julius also connects directly to Google Sheets via OAuth, which is a significant workflow improvement if you're already running your data in Sheets. You don't need to export and re-upload every time your data updates.
Rose.ai's upload experience is more limited for general spreadsheet data. It performs best with structured, clean financial data — things like stock price time series, earnings reports, or portfolio data. Uploading a messy internal sales spreadsheet felt like working against the tool rather than with it.
Analysis Quality Test
I asked both tools the same 10 questions on the same sales dataset. Questions ranged from basic ("what was total revenue in Q1?") to more complex ("which product category had the highest month-over-month growth in the last 6 months, and was there a seasonal pattern?").
Basic Questions: Both Did Fine
Total revenue, top-selling products, count by region — both tools handled these accurately. The answers were fast and the methodology was transparent (Julius shows the Python code it ran; Rose.ai explains its reasoning in plain text).
Complex Questions: Julius Had the Edge
For the month-over-month growth question, Julius generated a multi-step analysis: it calculated monthly totals per category, computed growth rates, identified seasonality patterns using a simple decomposition, and then surfaced the top categories in a ranked table. The whole thing ran in about 45 seconds and produced a chart I could download directly.
Rose.ai's answer to the same question was more descriptive than analytical — it gave me a narrative summary of the data but didn't produce the same structured breakdown Julius did. For a finance team analyzing market data, that descriptive approach might fit the workflow. For a sales or ops analyst who needs actionable output fast, Julius is more immediately useful.
Formula Generation
Julius AI's formula generation is one of its most practically useful features. You describe what you want — "calculate the 90-day rolling average of column D, handling blank cells by skipping them" — and Julius writes the Excel or Google Sheets formula with a step-by-step explanation.
When I tested this with a complex VLOOKUP-with-conditions scenario (looking up a value from another sheet based on two matching criteria), Julius generated the correct INDEX/MATCH formula on the first try and explained exactly why it was using that approach over VLOOKUP. That kind of explanation is useful for building actual spreadsheet skills, not just getting an answer.
Rose.ai doesn't focus on formula generation as a feature. It's oriented toward analysis and insight, not toward making you more effective in Excel. For formula help, Julius is the clear choice.
Charts and Visualizations
Julius generates charts from your data as part of its analysis responses. Bar charts, line charts, scatter plots, and pivot-style summaries are all available. The default chart styling is clean if basic — not design-portfolio quality, but clear enough for internal presentations and reports.
One feature I found genuinely useful: Julius lets you iterate on chart requests conversationally. "Change the Y-axis to start at 0," "break this out by region instead of product," "show only the top 5 categories" — each of these works as a follow-up message without re-uploading data.
Rose.ai's charts are more polished aesthetically, especially for financial data — time-series line charts with properly formatted axis labels, financial-standard notation. If you're producing charts for investor reporting or financial presentations, Rose.ai's output looks more professional out of the box.
Pricing
| Plan | Julius AI | Rose.ai |
|---|---|---|
| Free tier | Limited queries/month | Limited access, contact for details |
| Entry paid | $20/month — removes most limits | Custom pricing, generally higher |
| Pro | $40/month — higher limits, API | Enterprise / institutional pricing |
| Target user | Individual analysts, SMBs, teams | Finance teams, institutional users |
| Google Sheets connection | ✅ Native | Limited |
Full Feature Comparison Table
| Feature | Julius AI | Rose.ai | Winner |
|---|---|---|---|
| Excel / CSV upload | ✅ Excellent | Basic | Julius AI |
| Google Sheets native | ✅ OAuth connection | ❌ Limited | Julius AI |
| Complex data analysis | ✅ Strong, shows code | Descriptive, narrative | Julius AI |
| Formula generation | ✅ Excellent | Not a focus | Julius AI |
| Financial data analysis | Good | ✅ Specialized | Rose.ai |
| Chart aesthetics | Functional | ✅ Finance-polished | Rose.ai |
| Iterative chart editing | ✅ Conversational | Limited | Julius AI |
| Code transparency | ✅ Shows Python | Narrative explanation | Different styles |
| Pricing accessibility | ✅ $20/month | Enterprise-priced | Julius AI |
| Messy data handling | ✅ Handles gracefully | Prefers clean data | Julius AI |
Common Pitfalls
Julius AI: Large Files Slow It Down
Julius AI starts to lag on very large files — datasets over 100,000 rows can cause slow response times or timeout errors. For most business use cases (monthly reports, campaign tracking, inventory data), you're fine. For big data analysis (millions of rows), you'd need a different tool or to aggregate your data first.
Rose.ai: Hard to Evaluate Without Enterprise Access
Rose.ai's pricing and onboarding are not transparent for individual or small-team users. If you're not coming in through an institutional workflow, getting started requires contacting sales. For the comparison in this article, I used their documented capabilities and public demos. If you're evaluating Rose.ai for an individual subscription, expect a sales conversation rather than a self-serve trial.
Final Verdict
Use Julius AI if: you work with Excel and Google Sheets regularly, you want to ask natural language questions about your data, you need formula help, or you're on a team that doesn't have a dedicated data analyst. At $20/month, it's accessible and genuinely useful for anyone who spends meaningful time in spreadsheets.
Use Rose.ai if: you're a finance or investment professional dealing with institutional financial data, time-series market data, or you need polished financial chart output for investor reporting. It's not the right tool for general spreadsheet analysis.
For the vast majority of professionals asking "which AI can help me analyze my Excel data," Julius AI is the practical winner in 2026. Rose.ai serves a more specific and narrower use case well, but it's not competing in the same lane for most readers of this comparison.
Frequently Asked Questions
Can Julius AI read Excel files directly?
Yes. Julius AI accepts .xlsx, .csv, and .xls file uploads. You can also connect Google Sheets directly. Once uploaded, you ask questions in plain English and Julius generates analysis, formulas, and visualizations.
Is Rose.ai still active in 2026?
Rose.ai operates but has narrowed its focus toward financial data analysis and institutional use cases. It's less consumer-accessible than Julius AI and is primarily used by finance teams and analysts dealing with structured financial datasets.
Does Julius AI write Excel formulas?
Yes. Julius AI can generate complex Excel and Google Sheets formulas from natural language descriptions. You describe what you want to calculate, and it outputs the formula with an explanation of how it works.
Can I use Julius AI for free?
Julius AI offers a limited free plan that allows a small number of analysis queries per month. For regular use, the paid plan starts at $20/month and removes most usage limits.
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