Best Spreadsheet Apps of 2026

Grist is the OSS self-hostable spreadsheet for teams under data-residency or vendor-lock-in constraints. Founded in 2017 by ex-Google Sheets team members, Grist combines spreadsheet familiarity with relational data structure (linked records, calculated columns, computed widgets) and ships under Apache 2.0 with both managed cloud and self-host paths.

Four tiers serve four buyer profiles. Free Personal ships up to 5 docs with the self-host OSS option included. Pro at the entry per-user rate ships unlimited docs with custom domain and sharing. Team adds granular permissions plus audit logs plus forms. Enterprise ships self-hosted enterprise plus SSO at custom pricing.

The load-bearing wedge is the OSS escape hatch combined with spreadsheet-database hybrid. Where Rows, Equals, Causal, Quadratic, Sourcetable, and Visor lock you into the vendor's hosted runtime, Grist lets you self-host the entire stack on your own infrastructure under Apache 2.0; if the vendor changes terms or shuts down, you keep running. The spreadsheet-database hybrid sits between Excel-style sheets and Airtable-style databases without forcing a binary choice. The catch is fewer AI features than Rows; Grist has a Python-cell capability but does not match Rows AI-credit depth. For teams wanting OSS self-host plus spreadsheet-database hybrid, Grist Pro is the proven path.

Rows is the default modern AI-native spreadsheet for most readers in this category. Founded in 2016 in Lisbon and backed by Lakestar, Rows positioned around the AI-first shape with the deepest AI-credit catalog and cleanest onboarding for non-technical users coming from Excel.

Four tiers serve four buyer profiles. Free ships solo learning with 100 AI credits and 50 cell connections. Plus at the entry per-user rate ships unlimited cell connections plus 500 AI credits monthly. Pro adds 5K AI credits plus premium integrations plus sharing. Enterprise ships SSO plus audit logs plus RBAC at custom pricing.

The load-bearing wedge is how natural Rows feels for users coming from Excel. Where Equals demands SQL and Quadratic demands Python, Rows lets a non-technical reader paste a question into the AI prompt and get a working formula or chart; the spreadsheet feels like Excel with an AI copilot bolted on rather than a fundamentally new tool. The catch is AI-credit metering at scale; 500 credits on Plus is enough for solo founders but not teams running daily AI-driven analyses, and the jump to Pro is roughly twice the price. For non-technical solo founders, Rows Plus is the proven default.

Visor is the SaaS sync spreadsheet for teams that want a spreadsheet view over Jira tickets, HubSpot deals, or Salesforce records. Founded in 2017, Visor reads from Jira, HubSpot, and Salesforce, presents the data as a familiar spreadsheet with custom views and roadmap layouts, and writes changes back to the source system.

Four tiers serve four buyer profiles. Free ships spreadsheet plus roadmap views with Jira, HubSpot, and Salesforce sync. Pro at the entry per-user rate ships unlimited views plus collaboration plus premium integrations. Business adds roles plus audit plus admin plus custom workflows. Enterprise ships SSO plus custom integrations at custom pricing.

The load-bearing wedge is the bidirectional sync to existing SaaS source systems. Where Rows, Equals, Causal, Quadratic, Sourcetable, and Grist treat the spreadsheet as the source of truth, Visor treats Jira, HubSpot, or Salesforce as the source and the spreadsheet as a flexible view; product managers can edit a roadmap in spreadsheet form and have changes propagate back to Jira automatically. The catch is the narrow scope; if your team is not on Jira, HubSpot, or Salesforce, Visor offers little. For PMs already on those systems wanting spreadsheet flexibility, Visor Pro is the no-brainer entry.

Quadratic is the programming-language spreadsheet for technical users who want Python, SQL, or JavaScript inside cells. Founded in 2022 in San Francisco, Quadratic supports Python (with NumPy and Pandas), SQL, and JavaScript inside cells, which makes it the only mainstream spreadsheet that lets a developer write idiomatic code instead of formula-language workarounds.

Four tiers serve four buyer profiles. Free ships up to 3 files with Python, SQL, and JS in cells. Pro at the entry per-user rate ships unlimited files plus 1K AI prompts plus database connectors. Team adds workspaces plus sharing plus roles plus audit logs. Enterprise ships self-hosted plus SSO at custom pricing.

The load-bearing wedge is the multi-language cell environment. Where Rows treats AI as the workflow primitive and Equals treats SQL as primary, Quadratic treats programming languages as first-class; an engineer can write a Python loop, a SQL query, and a JavaScript transformation in three adjacent cells of the same workbook. The catch is the smaller brand recognition and the requirement that users know at least one supported language; Quadratic prices reasonably but excludes non-technical readers. For technical users wanting code-first sheets, Quadratic Pro covers the use case better than any AI-only alternative.

Sourcetable is the AI-assistant-first spreadsheet for analysts who want a chat-like interface over warehouse data. Founded in 2020, Sourcetable foregrounds an AI assistant that ingests warehouse data (Postgres, MySQL, BigQuery) and answers analytical questions in spreadsheet cells, with the option to drop into raw SQL when the AI is wrong.

Four tiers serve four buyer profiles. Free ships limited workbooks with AI assistant. Pro at the entry per-user rate ships unlimited workbooks plus AI plus warehouse connectors. Team adds workspaces plus roles plus scheduled refresh. Enterprise ships SSO at custom pricing.

The load-bearing wedge is AI-first analytical workflow over warehouse data. Where Rows leads on AI for non-technical users without database connectors, and Equals leads on SQL-first analysts, Sourcetable sits in between; you can ask the AI a question about warehouse data and get a working sheet, or drop to SQL when the AI gets it wrong. The catch is the lack of unique wedge versus Rows or Equals individually; Sourcetable competes head-on with both rather than carving a separate niche. For analysts wanting AI-first warehouse exploration with SQL escape hatch, Sourcetable Pro covers the use case but Rows or Equals may serve better.

Equals is the SQL-native spreadsheet for data analysts running on a warehouse. Founded in 2020 by ex-Intercom team members, Equals connects Postgres, Snowflake, and BigQuery natively and lets analysts write SQL queries that populate cells directly, with scheduled refresh keeping dashboards live.

Four tiers serve four buyer profiles. Free ships up to 5 workbooks with basic SQL. Plus at the entry per-user rate ships unlimited workbooks plus warehouse connectors. Team adds scheduled refresh plus sharing plus custom roles plus audit logs. Enterprise ships SSO plus custom integrations at custom pricing.

The load-bearing wedge is how cleanly SQL queries embed inside spreadsheet cells. Where Rows treats SQL as an integration and Quadratic puts SQL alongside Python and JS, Equals treats SQL as the primary language; analysts can write a query, populate a sheet, build a chart, and schedule a refresh in minutes without leaving the spreadsheet. The catch is the steeper price than Rows or Grist; Plus at the entry per-user rate is over three times the Rows Plus rate, reflecting warehouse-connector depth but pricing out non-analyst readers. For data analysts running on a warehouse, Equals Plus is the proven path.

Causal is the financial modeling spreadsheet for FP&A teams running scenario analysis. Founded in 2019 in London and backed by Accel, Causal treats variables and scenarios as first-class objects rather than cells, which makes uncertainty modeling tractable in ways Excel-style cell math is not.

Four tiers serve four buyer profiles. Free ships up to 100 inputs and outputs for solo modeling. Pro at the entry per-user rate ships unlimited models plus scenarios plus Stripe and QuickBooks integrations. Business adds custom dashboards plus team workspaces plus roles. Enterprise ships SSO plus audit logs at custom pricing.

The load-bearing wedge is how naturally Causal handles uncertainty. Where Rows, Equals, and Quadratic treat numbers as deterministic cells, Causal treats numbers as probability distributions or scenario branches; an FP&A analyst can model headcount with hiring uncertainty and immediately see the revenue impact across scenarios without rebuilding. The catch is the steepest price in lineup and a learning curve for non-FP&A readers; Pro is over six times the Rows Plus rate, and the variable-and-scenario abstraction takes time to learn. For FP&A teams running scenario analysis, Causal Pro is the proven path.