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The short version

Pick Jirav if you have an FP&A function that owns the budget, you need formula-driven scenarios for hiring and expense planning, and your forecasting need is finance-led.
Pick clariBI if you want forecasting on operational KPIs from real data (MRR, churn, CAC, traffic), with anomaly and changepoint detection, plus BI dashboards in the same product.
Pick both this is the most common pattern. Finance runs Jirav for budgets and scenarios; operations runs clariBI for KPI tracking and trend forecasting.

The teams who pick clariBI alongside (or instead of) Jirav: SaaS teams who already have budgets in a spreadsheet and want forecasting tied to their actuals, and services firms who want operational KPI tracking, not just financial planning.

Side by side

Capability clariBI Jirav
Entry price (monthly) $19 manual / $99 AI tier From ~$150/user/mo
Primary use case BI + forecasting + driver discovery FP&A: budgets, headcount, cash flow
Time-series forecasting from actuals 9 methods + walk-forward backtest Formula-driven projections
What-if scenario modeling No Yes, primary feature
Budget vs actuals workflow Goal tracking against targets Yes, primary feature
Headcount planning No Yes
Driver discovery from data FDR-controlled correlation No
Live integrations to operational sources 30+ via MCP QuickBooks, Xero, Stripe, payroll
Auto-generated dashboards Yes Templates
Conversational analytics Yes No
Goal tracking + OKRs Yes (against live data) Yes (against budget)
Free trial 14 days, no card Demo required

Jirav pricing summarized from their public site. Plans change; double-check before committing.

Forecasting head to head

Jirav and clariBI both call themselves "forecasting," but the meaning differs.

Jirav's forecasting is formula-based. You define how variables relate (new MRR = leads * conversion * avg deal size), set assumptions for the period (we hire 3 reps in Q3 so leads grow by X), and the projection follows. The math is your math.

clariBI's forecasting engine is data-driven. It looks at the historical metric, fits nine methods (Naive, Seasonal Naive, Moving Average, Drift, Linear Trend, AR(p), Holt-Winters, Theta, Gradient Boost), backtests each one on walk-forward sMAPE/MAPE/RMSE, picks the winner, and projects forward based on what the data actually says. Correlation discovery surfaces the other metrics that are moving with the target. The math is the engine's math.

Both are legitimate. Jirav is right when you need to model a decision you have not made yet. clariBI is right when you need to know where the metric is heading at current trajectory and what is moving it. Many teams use both: Jirav for the budget, clariBI for the actuals and the trend.

When Jirav is the better pick

You have an FP&A function. Jirav is purpose-built for finance teams: dimensional budgets, scenario versioning, dimension-driven roll-ups. If FP&A owns the planning process, Jirav is the right shape of tool.

Headcount planning is in scope. Hiring plans, comp modeling, payroll integration. Jirav has this built in. clariBI does not model headcount.

You need versioned scenarios. Best case, base case, worst case. Side by side, switchable in meetings. Jirav's scenario versioning is mature.

Budget-versus-actuals is the monthly close ritual. Jirav's variance workflow is the entire job for many FP&A teams. clariBI's goal tracking is lighter.

When clariBI is the better pick

Forecasting on operational KPIs matters more than finance modeling. If your question is "where will MRR be next month" not "what should we budget for MRR," clariBI's data-driven forecast lands on the answer faster.

You also need BI dashboards. Jirav is FP&A, not BI. If you want dashboards across Stripe, HubSpot, Google Ads, GA4, Mixpanel in one product, clariBI is the broader tool.

Conversational queries matter. clariBI's conversational analytics lets anyone on the team ask a question. Jirav's UX is model-builder, not chat.

You want forecasting that finds drivers automatically. Jirav's formulas show how the variables you defined relate. clariBI's driver discovery finds correlations you did not think to add.

SMB pricing matters. Jirav starts around $150 per user per month for serious use. clariBI's Starter is $99 a month total, three seats included.

Pricing, side by side

Jirav's published pricing starts around $150 per user per month and scales with users and features; implementation fees are common. clariBI's Starter at $99 a month covers three seats and the full BI plus forecasting surface.

clariBI

  • Free: 0 AI credits, 3 sources, 1 GB storage
  • Lite, $19/mo: manual dashboards, 5 sources, no AI
  • Starter, $99/mo: 500 AI credits, 10 sources, 3 seats, MCP integrations, forecasting
  • Professional, $199/mo: 1,500 AI credits, 50 sources, 15 seats, RBAC
  • Enterprise, $999/mo: 5,000 AI credits, 100 sources, 100 seats

Flat rate at each tier. No implementation fee. Forecasting in Starter.

Jirav (public list pricing)

  • Starter: from ~$150 per user per month
  • Pro: sales-led, typical $500+ per month
  • Premium: custom
  • Implementation: typical setup fee

Verify current pricing at www.jirav.com/pricing.

Moving from Jirav to clariBI

  1. 1
    Decide what you are trying to forecast. If it is a budget scenario ("what if we hire 5 reps"), stay in Jirav. If it is a KPI trend ("where is MRR heading at current trajectory"), clariBI is the right tool.
  2. 2
    Connect operational sources to clariBI. Stripe, HubSpot, Google Ads, whatever feeds your real KPI data. Most teams have these connected in under an hour.
  3. 3
    Bind forecasts to your most-watched KPIs. MRR, churn rate, new signups, CAC. clariBI auto-picks the method per series and surfaces the drivers. The forecasts re-run on the cadence you set.

FAQ

Is clariBI a Jirav replacement?

Only for the KPI-trend half of forecasting. The budget, headcount, and scenario-modeling features that Jirav offers are not in clariBI. Most teams use both.

Can clariBI do budget versus actuals?

clariBI's Goals feature lets you set targets and track progress against live data. It is lighter than Jirav's full variance workflow but covers the most-watched cases.

Does Jirav forecast from actuals?

Jirav uses actuals as inputs to formulas. The forecast comes from the formula, not from method selection on the time series. Different approach.

Why are these tools often used together?

Finance owns the budget; operations owns the KPIs. Jirav for the first, clariBI for the second. The two surfaces do not overlap as much as the marketing suggests.

Can clariBI replace a spreadsheet model?

If the spreadsheet is tracking actuals and you want forecasting on those actuals, yes. If the spreadsheet is a planning model with assumption inputs, no, that is what Jirav does.

See it for yourself

14 days free, no card. Connect Stripe in 60 seconds and run a forecast that uses your actual data, not a formula you have to maintain.

Start the free trial See pricing

Other comparisons

clariBI vs. Causal Financial scenario modeling. clariBI vs. ChartMogul SaaS subscription metrics, deep on billing. clariBI vs. Baremetrics Classic Stripe dashboard tool. clariBI vs. Anodot Anomaly detection plus forecasting.