Rows is the modern AI spreadsheet with 50+ live integrations (HubSpot, Stripe, Google Analytics, etc.) and 100 free monthly AI credits. Plus at $8 per user monthly drops cell-connection limits; Pro at $19 unlocks 5K AI credits; Enterprise covers SSO + audit + RBAC. Where alternatives win: Equals is SQL-native for direct Postgres/Snowflake/BigQuery queries, Causal is purpose-built for finance modeling and forecasting, Quadratic runs Python plus SQL plus JavaScript in cells, Sourcetable is AI-first with $20 monthly Pro, Grist is OSS self-hostable, and Visor connects spreadsheet views to Jira and Salesforce.
By Subrupt EditorialPublished Reviewed
Modern spreadsheet apps emerged as a category between 2020-2024 to fix what Google Sheets and Excel did not: live data integrations, AI prompt assistants, code-in-cells, and team-shaped collaboration around data. Rows took the integrations-first approach; Equals took the SQL-database approach; Causal took the finance-modeling approach; Quadratic took the Python-first approach. Each platform reframes spreadsheets toward a different audience.
Pricing math: Rows Plus at $8 per user monthly (annual) covers most SMB use; Equals Plus at $29 per user is roughly 4x the cost but adds direct database queries; Causal Pro at $50 per user is purpose-built for finance teams; Quadratic Pro at $20 per user adds Python + SQL + JS in cells. The cost spread reflects the audience: ops teams pay $8-$20 per user for AI integrations, finance teams pay $50+ per user for modeling, data teams pay $29-$40 per user for SQL access.
Pick by your shape. SQL-native to Postgres/Snowflake/BigQuery: Equals. Finance modeling and forecasting: Causal. Python plus SQL plus JS in cells: Quadratic. AI-first with $20 Pro tier: Sourcetable. OSS self-hosted Apache 2: Grist. Jira plus Salesforce roadmap views: Visor.
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Quick pick by use case
If you only have thirty seconds, find your situation below and skip to that pick.
Equals Plus at $29 per user monthly covers direct connections to Postgres, Snowflake, BigQuery, and other databases with scheduled refresh and shared dashboards. Team at $59 adds custom roles and audit; Enterprise adds SSO + custom integrations. The differentiator vs Rows is direct SQL: where Rows pulls from APIs (HubSpot, Stripe, Salesforce), Equals queries databases directly with full SQL flexibility. For analyst teams running daily reports on internal data warehouses, Equals fits where Rows' API-integration model does not. The trade vs Rows: smaller integration breadth on the API side, more expensive entry tier ($29 vs $8).
Strengths
+Direct Postgres + Snowflake + BigQuery queries
+Scheduled refresh for dashboards
+Custom roles + audit on Team
+$29/user is competitive vs Looker/Mode at this surface
Trade-offs
−3.6x cost vs Rows Plus ($29 vs $8)
−Smaller API integration breadth than Rows
−SQL fluency required for full power
Free
5 workbooks, basic SQL
Plus
$29/user/mo annual + databases
Team
$59/user/mo + audit
Enterprise
Custom + SSO
Migration steps
Sign up at equals.com (14-day trial).
Connect to Postgres/Snowflake/BigQuery via OAuth or DSN.
Build representative dashboard via SQL queries.
Migrate Rows API-driven dashboards to Equals SQL where appropriate.
Cancel Rows for SQL-driven workloads when Equals fits.
Not for: Equals is the wrong fit for teams pulling primarily from APIs (HubSpot, Stripe, Google Analytics) without direct database access; Rows fits that better.
Causal Pro at $50 per user monthly covers unlimited models with scenarios, Stripe + QuickBooks integration, and forecasting. Business at $200 per user adds custom dashboards + sharing; Enterprise adds SSO + audit. The differentiator is the modeling primitives: where Rows treats cells as data, Causal treats cells as variables in a financial model with scenarios, sensitivities, and probabilistic forecasting built in. For finance teams running monthly close, scenario planning, or runway forecasting, Causal's primitives reduce the modeling time by 10x vs traditional spreadsheets. The trade vs Rows: 6x the cost ($50 vs $8), purpose-built for finance not general purpose.
Strengths
+Scenario modeling + sensitivity analysis
+Stripe + QuickBooks integration native
+Probabilistic forecasting
+Best-in-class for finance teams
Trade-offs
−6x cost vs Rows Plus ($50 vs $8)
−Purpose-built for finance, not general
−Learning curve for non-finance users
Free
100 inputs/outputs, solo only
Pro
$50/user/mo annual
Business
$200/user/mo + sharing
Enterprise
Custom + SSO
Migration steps
Sign up at causal.app (free tier).
Build representative finance model with scenarios.
Connect Stripe and QuickBooks for live financial data.
Migrate Rows finance dashboards to Causal models.
Cancel Rows for finance modeling workloads when Causal fits.
Not for: Causal is the wrong fit for non-finance use cases or general-purpose spreadsheet needs; Rows, Equals, or Quadratic fit those better.
Quadratic Pro at $20 per user monthly covers unlimited files with 1K AI prompts, Postgres + Snowflake + API integrations, and Python + SQL + JavaScript inline in cells. Team at $40 per user adds team workspaces and roles; Enterprise adds self-hosted + SSO. The differentiator vs Rows is code-in-cells: where Rows uses formula syntax for transformations, Quadratic lets you write Python in any cell to do data analysis (pandas, numpy, scipy), SQL for queries, and JavaScript for interactive elements. For data scientists and engineers who want spreadsheet UI on top of Python tooling, Quadratic fits where Rows' formula language does not. The trade vs Rows: code-in-cells is more powerful but learning curve is real.
Strengths
+Python + SQL + JS in any cell
+Postgres + Snowflake + API integrations
+$20/user Pro is competitive
+Strong fit for engineering teams
Trade-offs
−2.5x cost vs Rows Plus ($20 vs $8)
−Code-in-cells learning curve
−Smaller community than Rows
Free
100 AI prompts/mo, 3 files
Pro
$20/user/mo annual
Team
$40/user/mo + workspace
Enterprise
Custom + self-hosted
Migration steps
Sign up at quadratichq.com (free tier).
Build representative workbook with Python + SQL cells.
Connect Postgres or Snowflake for live data.
Migrate Rows formula-driven workbooks to Quadratic when Python adds value.
Cancel Rows for engineering-heavy workloads when Quadratic fits.
Not for: Quadratic is the wrong fit for non-engineering teams who want formula-driven spreadsheets without code; Rows, Sourcetable, or Grist fit those better.
Sourcetable Pro at $20 per user monthly covers unlimited workbooks with AI assistant, Postgres/MySQL/BigQuery integration, and scheduled refresh. Team at $40 adds team workspaces + roles; Enterprise adds SSO + audit + custom integrations. The differentiator is the AI-first surface: every cell can be filled by AI prompts, every chart can be built by natural language, every transformation can be described instead of formula-coded. For non-technical teams who want AI to do the spreadsheet work without learning formulas, Sourcetable fits the gap. The trade vs Rows: smaller community, less mature integrations.
Strengths
+AI-first cell-filling and charting
+Postgres + MySQL + BigQuery integration
+$20/user Pro competitive with Quadratic
+Strong fit for AI-curious non-technical users
Trade-offs
−Smaller community than Rows
−Less mature integrations than Rows 50+
−AI quality variable on complex prompts
Free
Limited workbooks + AI assistant
Pro
$20/user/mo annual
Team
$40/user/mo + workspace
Enterprise
Custom + SSO
Migration steps
Sign up at sourcetable.com (free tier).
Test AI assistant on representative analyses.
Connect Postgres or BigQuery for live data.
Migrate Rows workbooks where AI-first surface helps.
Cancel Rows for AI-driven workloads when Sourcetable fits.
Not for: Sourcetable is the wrong fit for teams who rely on Rows' integration breadth or who prefer formula-driven workflows; Rows fits that better.
Grist Personal Free covers 5 docs free with self-host OSS option (Apache 2 licensed). Pro at $8 per user monthly covers unlimited docs with custom domain and sharing; Team at $22 adds granular permissions + audit + forms; Enterprise adds self-hosted enterprise + SSO. The differentiator is the relational-database model: where Rows treats workbooks as flat sheets, Grist treats workbooks as tables with relational links (think Airtable plus spreadsheet). For teams wanting structured data with spreadsheet UI plus the option to self-host, Grist fits the niche. The trade vs Rows: smaller integration breadth, less polished AI surface.
Strengths
+Apache 2 OSS for self-hosting
+$8/user Pro matches Rows
+Relational data model with spreadsheet UI
+Forms + integrations included on Team
Trade-offs
−Smaller integration breadth than Rows
−Less polished AI surface
−Learning curve for relational model
Free Personal
5 docs free
Pro
$8/user/mo annual
Team
$22/user/mo + permissions
Enterprise
Custom + SSO
Migration steps
Sign up at getgrist.com (free) or self-host (Docker).
Build representative relational workbook with linked tables.
Migrate Rows workbooks where relational structure adds value.
Cancel Rows for relational-data workloads when Grist fits.
Not for: Grist is the wrong fit for teams who rely on Rows' AI assistant and 50+ API integrations; Rows or Sourcetable fit that better.
Paid plans from $8.00/mo
When to stay with Rows
Stay with Rows if your team has built dashboards on top of its 50+ live integrations, your AI credits cover real workloads, or your branded sharing is wired into your analytics process. The picks below address SQL-native data spreadsheets, finance-modeling-shaped Causal, Python plus SQL plus JS in cells with Quadratic, AI-first Sourcetable, OSS Grist for self-hosting, and Jira plus Salesforce-roadmap focused Visor.
Modern spreadsheet alternatives split along three vectors: data source (live API integrations vs SQL database queries vs in-cell code), audience focus (general operators vs finance modelers vs engineers), and deployment (cloud-only vs OSS self-hosted). Picks below address each combination.
Pricing pulled from each vendor's site on the review date. We score on cost-at-volume for representative SMB usage (5-15 users), integration depth, AI-feature quality, code-or-SQL flexibility, and operational lift to migrate. We weight against tools whose advertised free tier excludes essential connections that quickly push users to paid.
Update history1 update
Initial published version with 5 picks.
Frequently asked questions about Rows alternatives
Why use a modern spreadsheet instead of Google Sheets or Excel?
Three reasons: (1) live integrations - HubSpot, Stripe, Salesforce, Postgres, Snowflake without manual export-import; (2) AI assistance - cell completion, chart generation, transformation by natural language; (3) code-in-cells - Python and SQL in cells for analysis that formulas cannot do cleanly. For teams whose primary spreadsheet pain is manual data entry from external sources, modern tools save 5-20 hours weekly. For teams who already use spreadsheets minimally for static data, Google Sheets or Excel is fine.
Should I treat AI credits as the binding constraint when picking?
Often, yes. Most modern spreadsheets meter AI prompts (Rows 100/mo free, Quadratic 100/mo free). Heavy AI users (using AI for cell completion daily) will burn through free tiers in days. Plan for 1K-5K AI prompts monthly per active user; this typically requires Pro or higher tier. Causal and Equals do not meter AI as heavily but their primary value is database/modeling, not AI.
How do I evaluate Causal's $50 per user pricing for finance modeling?
Math: a finance team of 5 paying $50 per user is $250 monthly ($3K annual). Compared to traditional Excel + manual processes, the time savings from scenario modeling and live data integration typically save 2-4 days per month per user. At fully-loaded cost of $1K per day, that is $2K-$4K monthly value per user. Causal usually pays back vs traditional approach when the team runs monthly forecasts, scenario plans, or scenario-driven business reviews.
What about modern Excel + Power Query + Power BI?
Excel + Power Query + Power BI is competitive for teams already in Microsoft 365 and comfortable with M language for transformations. The trade vs modern spreadsheet apps: more complex setup, less AI-assisted, less collaboration-shaped. Best fit for: enterprise Microsoft shops with existing Power BI investment. Less fit for: small teams, AI-curious users, teams who want spreadsheet plus database in one tool.
Can I migrate Google Sheets formulas to these tools?
Mostly yes. Standard formulas (SUM, VLOOKUP, INDEX-MATCH, IF, etc.) translate cleanly to Rows, Equals, Quadratic, Sourcetable, and Grist. Google-specific functions (IMPORTHTML, GOOGLEFINANCE, IMPORTRANGE, ARRAY formulas) need rewrites because they have different syntax or replacements (live integrations replace IMPORTHTML; database queries replace GOOGLEFINANCE for stock data; relational links replace IMPORTRANGE in Grist). Plan 1-2 weeks for migration of a moderately complex Google Sheet to a modern tool.
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The team behind subrupt.com. We track subscriptions, surface cheaper alternatives, and publish comparisons where the score formula is on the page so you can recompute it yourself. We do not claim 30,000 hours of testing. What we claim is live pricing from our database, a transparent composite score, and honest savings math against a category baseline.
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