'I grew up with it': readers on the enduring appeal of Microsoft Excel

Original Article ↗ Hacker News Discussion ↗

Excel vs Google Sheets and Other Tools

  • Many see Google Sheets as “good enough” for simple, collaborative work, but not for large or complex models.
  • Excel is widely considered faster, more stable, and far more feature‑rich than Sheets, Numbers, and LibreOffice Calc, especially for big datasets, pivots, Solver, advanced functions, and VBA.
  • Some users have never touched Excel due to working in Google Workspace–only or open‑source environments, illustrating starkly different professional toolchains.
  • Numbers is liked for UI and basic tasks, but often criticized as slow and missing advanced features; LibreOffice Calc is praised for being free but called buggy and behind on functions.

Performance, Capabilities, and Limits

  • Multiple accounts report Google Sheets and web Excel struggling or stalling with large or complex sheets; desktop Excel usually copes.
  • Complaints include Sheets’ cell limits and severe recalculation latency, and Excel’s odd constraints (e.g., “too many fonts” errors).
  • Some argue most users never need Excel’s “power user” features; others say that last 10% of functionality is critical in finance, BI, and engineering.

Collaboration, Cloud, and Privacy

  • Sheets is praised for frictionless real‑time collaboration and forms; historically this was its major edge.
  • Several say modern Excel with OneDrive/SharePoint now collaborates “almost seamlessly,” though others still see sync errors.
  • Some refuse cloud tools (especially Google) over privacy, data mining, and AI‑training concerns, preferring local Excel or OSS.

Excel as Programming and Modeling

  • Excel is framed as a de facto programming environment and “virtual machine” accessible to non‑programmers.
  • Many careers in software started with VBA; others built extremely complex financial or engineering models, simulations, and even “spreadsheets as applications.”
  • There’s interest in safer, more testable, type‑aware spreadsheet paradigms, but concern that making Excel “more like programming” would destroy its approachability.

Business Reliance, Standardization, and Risk

  • Excel’s ubiquity is seen as its killer feature: everyone from auditors to tax authorities to CFOs understands it, making it the default medium for models and evidence.
  • Some argue this standardization outweighs technical inferiority; others call it a “hammer‑and‑nails” trap that enables fragile, opaque workflows and tech debt.
  • Studies and anecdotes about pervasive spreadsheet errors are cited; auditability is seen as partial and human‑process‑dependent, not a guarantee of correctness.

Alternatives and Future Directions

  • Mentioned alternatives include RowZero, Airtable, DuckDB, Grist, Klaro, Quantrix, and ideas like multi‑language formulas, stronger data types, versioning/diff, better macros, and closer database integration.
  • Consensus: Excel remains dominant; competitors either excel at niches or are still far from matching its breadth plus ecosystem.