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Prologue — Why we keep coming back to spreadsheets

In 2026, almost everything in a company still starts in a single table. Product roadmap, hiring pipeline, expense reports, content calendar, inventory, customer support tracker — someone owns that in Notion, someone in Airtable, someone in Excel. And about a year in, you always hear either "this got too heavy" or "this got too expensive."

This post maps that landscape. It walks through the 2026 universe of "looks like a spreadsheet, behaves like a database" tools, who does what well, what they do badly, and what you should pick in which situation.

The three big shifts are:

- **Airtable is in a pricing controversy.** Pro/Business/Enterprise prices keep rising, AI features got pushed to Enterprise, and smaller teams are leaving. Between 2024 and 2026, NocoDB, Baserow, and Teable have filled that gap.

- **AI is changing what a spreadsheet means.** Rows and Coda are built around "AI fills cells and analyzes data." Excel Copilot and Google Sheets Gemini bake the same idea into the giants.

- **The boundary with data analysis tools is dissolving.** Sigma Computing (spreadsheet on top of BigQuery), Equals (SQL plus spreadsheet), and Numeric (acquired by Brex in 2026) live in the "is this a BI tool or a sheet?" zone.

We go through this in 12–14 chapters. The post is meant to be useful when your team is deciding next quarter what to keep and what to drop.

Chapter 1 · The 2026 spreadsheet-alt map — three camps

Listing tools in a flat line doesn't help. Group them into three camps first.

| Camp | Core model | Representative tools |

| --- | --- | --- |

| **Relational (the Airtable model)** | Tables + link fields + views | Airtable, NocoDB, Baserow, Teable, SeaTable |

| **Excel-compatible / formula-first** | Cell grid + formulas | Excel, Google Sheets, Grist (Python), Smartsheet, Rows |

| **Hybrid / AI-first / analytical** | Docs/SQL/AI hybrid | Coda, AppFlowy, Equals, Sigma Computing, Numeric |

The taxonomy is imperfect. Rows is "Excel-compatible" but assumes AI, so it touches all three. Coda mixes doc and table, so it brushes all three a little. Still, holding this three-camp picture in your head while looking at any individual tool makes the differences sharper.

**The relational camp** is built on "links between tables." A customer row links to many orders, each order links back to a product. SQL foreign keys and JOINs reduced to clicks. The model dates back to FileMaker in 1995, but Airtable revived it for the web in 2012.

**The Excel-compatible camp** is built on "cell = formula = result." Cells like A1/B1 reference each other; SUM, VLOOKUP, INDEX/MATCH have 30 years of muscle memory behind them. Accounting, finance, research — anyone fluent in cells refuses to leave.

**The hybrid/analytical camp** is more ambitious: "a doc that contains a table, the table renders as a chart, AI fills the blanks." Coda, Rows, Sigma, and Equals each attack this from a different angle.

The 2026 trend: **the three camps are colonizing each other**. Airtable bolts on AI, Excel adds quasi-relational Data Types, Sigma runs cell formulas over BigQuery. The line between spreadsheet, database, and BI tool is fading.

Chapter 2 · Airtable — the leader, but with a pricing problem

Airtable was founded in 2012 and raised a Series F at an 11-billion-dollar valuation in 2021. It's the defining player of this category. The very phrase "a database you use like a spreadsheet" essentially comes from Airtable.

**Why Airtable became the leader.** Three decisions mattered.

1. **Linked records.** Drag a row from another table into a cell. SQL foreign keys reduced to one click.

2. **Views.** Same table rendered as Grid, Kanban, Calendar, Gallery, Gantt. Established the "one dataset, many surfaces" standard.

3. **Automations and integrations.** Wide coverage of Slack, Gmail, Stripe, Salesforce; first-party automation builder.

**The 2026 pricing controversy.** The problem is price. Since 2024, Airtable has raised prices in waves and locked AI features behind Business/Enterprise. The Free plan now caps at 1,000 records (down from 1,200 in early 2024). Pro is 24 dollars per user per month, Business starts at 54 dollars per user per month (as of May 2026). AI (Airtable AI / Cobuilder) is effectively unlimited only on Enterprise.

This pricing actively pushes small and OSS-friendly teams away. The slots they leave are being filled by NocoDB, Baserow, and Teable.

**Airtable still wins where.** At large customers (SaaS, media, manufacturing), the ecosystem depth is unmatched. Marketplace has over 1,500 apps. Sync (pulling data from other bases / Salesforce / HubSpot), Interface Designer (app-like surfaces), and Cobuilder (AI that builds bases for you) are solid. For "we need an internal tool by Friday," it's still the strongest.

**When to pick Airtable.**

- Team over 30, lots of external integrations, Enterprise SSO/SCIM needed → Airtable.

- Under 5 people, price-sensitive, OSS-friendly → an alternative is more rational.

- Above ~100k rows Airtable starts to strain (Enterprise extends to 250k). Past that, move to a real database.

Chapter 3 · NocoDB (open source) — the strongest Airtable alternative

NocoDB is an open-source Airtable alternative built by an India/SF-based company. AGPL-3 license, over 50k GitHub stars. They raised a Series A (around 10.7 million dollars, OSS Capital among others) in 2023 and built out NocoDB Cloud in 2024–2025.

**Core differentiator.** NocoDB was designed from day one as "no-code on top of an existing database." MySQL, PostgreSQL, SQL Server, SQLite — point it at a real database and it puts an Airtable-like UI on top. Even brand-new tables are stored as real SQL.

That enables two things:

- **No data lock-in.** The data lives in your Postgres. Even if you leave NocoDB, the data stays.

- **Developers and the no-code UI share the same data.** Your backend code reads and writes the same Postgres. You get an "admin UI for our production DB" in five minutes.

**Features.** Grid, Kanban, Form, Gallery, Calendar, Map views, formula fields, automations (Webhook/Slack/Email), APIs (REST and GraphQL), collaboration, role-based permissions. Covers about 80% of Airtable's core.

**Weak spots.** Polish and integration ecosystem are thinner than Airtable. There's no equivalent of Interface Designer at full strength, and no Marketplace. AI is rolling in gradually but isn't as smooth as Airtable Cobuilder.

**When to pick NocoDB.**

- You already run Postgres/MySQL and want an admin UI on top → NocoDB is the most natural fit.

- Self-hosting is a requirement (GDPR/HIPAA/on-prem) → run the OSS build on Kubernetes instead of NocoDB Cloud.

- Airtable pricing hurts → NocoDB Cloud is around 10–15 dollars per user per month, roughly half.

Chapter 4 · Baserow (open source) — the German alternative

Baserow is a Netherlands/Germany-based OSS Airtable alternative. MIT license on the core plus a commercial license for enterprise features. It uses Postgres as its own data store and, unlike NocoDB, runs on its own schema.

**Philosophy difference.** Where NocoDB is "admin UI on top of an existing DB," Baserow is closer to "a standalone Airtable replacement." They get compared a lot but they fit different use cases.

- NocoDB → there's an existing production DB, and you put a UI on it.

- Baserow → like Airtable, you build the data inside Baserow from scratch.

**Features.** Grid, Form, Kanban, Gallery, Calendar views, formula fields, automations, API, collaboration. Application Builder lets you assemble "form-driven apps on top of your data" (similar in spirit to Airtable Interface Designer).

**Self-hosting friendly.** One Docker Compose line and you're running on your own server. The docs are clear, and there's a Helm chart. Being an EU/GDPR-friendly company, European businesses prefer it.

**Cloud pricing.** Premium starts at 5 dollars per user per month (as of 2026). That's roughly a quarter of Airtable, which makes it attractive to budget-pressed teams.

**Weak spots.** Integration ecosystem and automation builder are thinner than Airtable. No Marketplace yet. AI is arriving, but it's not at Coda/Rows level.

**When to pick Baserow.**

- EU/GDPR requirements, data sovereignty matters → Baserow.

- An Airtable-style workflow at a quarter of the cost → Baserow Cloud.

- Want a standalone sheet SaaS replacement, not "Postgres on top of which we put a UI" → Baserow.

Chapter 5 · Grist (open source) — Python formulas

Grist has a different texture. Founded in 2018, they open-sourced the core in 2022 (AGPL-3) and in 2024 joined Code for Science & Society as a fiscally sponsored project — making it "a financially independent OSS project" while the for-profit company continues to exist.

**The core differentiator is Python formulas.** Cell formulas aren't Excel functions; they're Python.

Grist formula field example

Order's customer field is a link to a Customer row

$customer.name

Aggregate

sum(o.amount for o in Orders.lookupRecords(customer=$id))

Conditional

"VIP" if $total_spent > 10000 else "Regular"

Where Excel formulas have to fit a single line, Grist gives you Python's full expression power. Data scientists, researchers, and journalists love it.

**Second differentiator: one file equals one document.** A Grist base is a single SQLite file. Download it and you have all data, formulas, and views inside. Backup is a file copy. You can also run Grist locally and work on that file.

**Features.** Grid, Card List, Chart, Calendar, Custom Widget views, formulas (Python), weak automations, API, collaboration. Another strength is **fine-grained permissions** (Access Rules) — row/column-level rules defined in a SQL-like syntax. Powerful in media, NGO, and government data work.

**Weak spots.** The thinnest integration ecosystem of the bunch. No Marketplace, weak automation builder. The UI is clean but visual polish ("a beautiful Kanban") is limited.

**When to pick Grist.**

- Data analyst / journalist / researcher team → Python formulas are the deciding factor.

- Complex row/column permissions (e.g., per-patient medical data, per-source journalism) → Access Rules.

- Want to back up and share a base as a single file → Grist.

Chapter 6 · Rows (YC) — AI-first

Rows is a Portugal/Berlin-based startup, Y Combinator alum. After their 2021 seed round they repositioned around AI in 2023–2024. The tagline is "Sheets plus AI."

**The core differentiator is built-in AI.** Inside a cell you can call functions like `=AI(...)` that hit OpenAI or Anthropic and fill in the answer. They also turn "given a company name, fill LinkedIn URL, ARR, and headcount" data enrichment into a click.

=AI("Summarize the company description in 1 sentence", A2)

=OPENAI("gpt-4o", "Extract email from text", B2)

=SCRAPE(C2, ".pricing-table")

**Features.** Excel-compatible functions (VLOOKUP, SUMIFS), charts, integrations (pull data from HubSpot, Stripe, Google Analytics, LinkedIn), shareable "Live tables" (embeddable as web pages). The AI experience is the smoothest.

**Pricing.** Generous free plan (500 AI credits per month). Plus/Pro from 19 to 59 dollars per user per month.

**Weak spots.** No relational model. There are no linked records — at heart it's an Excel-compatible sheet. So it doesn't aim to replace Airtable; it goes after Google Sheets and Excel.

**When to pick Rows.**

- Sales/marketing team running "100 AI-enriched rows a day" → Rows fits the workflow.

- Want a Google Sheets/Excel replacement with AI built in first → Rows.

- Need relational? Go to Airtable/NocoDB instead.

Chapter 7 · Coda — doc plus table hybrid

Coda launched in 2017 with the pitch "doc and spreadsheet merged." A single page holds text, tables, buttons, and charts, and tables link to data on other pages.

**Core differentiator.** Coda's unit is the document. Like Notion putting databases inside a doc, but Coda is more table/formula-centric. Coda formulas are its own function language (Coda Formulas) — a blend of SQL, Excel, and JavaScript.

// Coda formula example (pseudocode)

Customers.Filter(Plan = "Pro").Count()

Tasks.Filter(Owner = User() AND Done = false).Sort(DueDate)

**Packs.** Coda calls its integrations and extensions Packs. Slack, GitHub, Jira, Figma, HubSpot — hundreds of Packs, and Packs are used like functions inside formulas.

**Coda AI.** Launched in 2023, sharpened in 2024–2025. "Summarize this table," "use AI to categorize this column" — natural-language commands.

**Pricing.** Generous free plan (only Doc makers are billed). Pro/Team are 12 to 36 dollars per Doc maker per month. The "only Doc makers pay" model is attractive to some teams (viewers are free).

**Weak spots.** Slows down on truly heavy data (above ~100k rows). From the outside it looks like "a doc," which hurts search and discovery. With Notion taking off, Coda's share has been flat.

**When to pick Coda.**

- Want "metrics + tables + meeting notes + actions" on one page → Coda fits naturally.

- Team wiki plus database in one tool → Coda or Notion.

- Truly large data → pick something else.

Chapter 8 · SeaTable / Smartsheet (PE-acquired) / Teable / Equals / Sigma — the rest

This group sits in one chapter, but each lives in a different niche.

SeaTable

German-based, built by the company behind Seafile (cloud storage). OSS Community Edition plus a commercial license. The look is nearly identical to Airtable. Strengths are **EU/GDPR friendliness** and **smooth self-hosting**. Weakness is ecosystem thinness. European governments, research institutes, and SMBs gravitate toward it.

Smartsheet (Blackstone/Vista acquired)

A 2005-founded veteran. In November 2024, Blackstone and Vista Equity acquired Smartsheet for roughly 8.4 billion dollars and took it private (it was a PE consortium, not IBM). In 2025–2026 IBM announced some asset partnerships combining Smartsheet with watsonx, but the company itself is owned by Blackstone/Vista. Smartsheet is an enterprise tool that fuses an Excel-like grid with project management, automations, and Gantt.

Post-PE, prices crept up further, and the "real features start at Enterprise" reputation hardened. New teams aren't flocking in, but large enterprises with Smartsheet-embedded PMO workflows can't leave easily.

Teable (open source, China)

A relatively new (2023) OSS Airtable alternative. AGPL-3. Growing fast in both China and globally. The concept is similar to NocoDB ("no-code over Postgres"), but the UI is more modern and the react-table-based grid is the standout strength. Self-hosting friendly.

Equals (YC)

Founded in 2022, Y Combinator. **A spreadsheet for finance teams.** The core differentiator: cells can pull from SQL query results. Analysts fire queries at BigQuery/Snowflake and the results land as cells. On top of those they layer Excel formulas to build financial models. Beloved by CFO offices.

Sigma Computing

Founded in 2014. **A spreadsheet on top of a data warehouse.** Connects directly to BigQuery, Snowflake, Databricks, Redshift, and lets you use a billion-row table like a spreadsheet. "A BI tool that looks like Excel," it's a serious competitor to Tableau and Looker. Series D in 2024 (around 200 million dollars), revenue growing fast.

Numeric (acquired by Brex in 2026)

Numeric is a close-automation startup for accounting teams. **In April 2026, Brex acquired Numeric for around 500 million dollars** — a major story. Numeric's spreadsheet-like UI connects to ERPs (NetSuite, QuickBooks) to automate the close. Since the Brex acquisition, integration with Brex card/banking data is being woven in.

Quick comparison

| --- | --- | --- | --- |

Chapter 9 · AppFlowy — closer to a Notion clone with tables

AppFlowy is a Canada-based OSS project. AGPL-3. Started as "the open-source Notion alternative" and, with table/database features hardening in 2024–2026, has moved closer to "open-source Notion plus Airtable."

**Features.** Databases inside Doc/Page (Notion-style). Grid, Board, Calendar, Gallery views. Self-hosting (AppFlowy Cloud), desktop apps (Rust/Flutter), mobile apps. AI features being added.

**Why it matters.** For teams where Notion is too closed or too expensive, especially where data sovereignty / on-prem matters (governments, education, EU, some non-China Asia), AppFlowy gets adopted. Over 50k GitHub stars and a lively community.

**Weak spots.** Not as polished as Notion (especially the stability of real-time collaboration). Marketplace and automation ecosystem are thin.

**When to pick AppFlowy.**

- Want a Notion-style workflow but self-hosting is a requirement → AppFlowy.

- Want to migrate data/pages out of Notion onto your own infra → AppFlowy + migration.

Chapter 10 · Google Sheets plus Gemini / Excel plus Copilot

Stepping out of the alt-tool world: in 2026, **most data still lives in Sheets and Excel.** With AI built in, these two giants are quietly threatening the other tools.

Google Sheets + Gemini

In 2024, Gemini was integrated across all of Workspace. By 2025–2026, "Help me organize," "Help me visualize," and "Help me write formulas" became standard inside Sheets.

=AI("Summarize the comments in column B", B2:B100)

The same kind of function (`AI()`) was released as a first-class function. Gemini 2.5/3.0 understands cell context and answers. Pricing is included in Workspace Business Standard/Plus (no extra fee, but with usage quotas). Effectively used by almost all schools, governments, and SMBs.

**Weak spots.** Sheets is still a cell-based model, so it's weak in "relational DB" scenarios. No linked records, slow at large data (above ~100k rows). Collaboration is strong, but permission management is simple.

Excel + Copilot + Power BI

Microsoft 365 Copilot inside Excel takes natural-language commands like "build a pivot from this," "summarize the trend," "forecast next quarter." From 2025 onward, it's an extra 30 dollars per user per month (individual license; SKUs differ).

Power BI is a separate tool but deeply integrated with Excel, so "build a data model in Excel → ship as a Power BI dashboard" is a single flow. Copilot is in Power BI too.

**Why it's strong.**

- Data is already in Excel/SharePoint.

- SSO and permissions are wired into Microsoft 365.

- Accounting, finance, operations — 30 years of muscle memory live in Excel.

**Weak spots.** Copilot still hallucinates and slows on large data. Power BI has a steep learning curve. Pricing is fragmented across SKUs.

**Sheets or Excel?**

- Workspace shop → Sheets + Gemini is natural.

- Microsoft 365 shop → Excel + Copilot, Power BI.

- Accounting/finance heavy → Excel + Power BI wins.

- Collaboration/mobile/sharing heavy → Sheets wins.

Chapter 11 · AI in spreadsheets — comparing Rows / Copilot / Gemini / Coda

Now zoom in on AI features. In 2026, "AI in spreadsheets" comes in four patterns.

Pattern 1: natural language → formula

"Write me a formula that averages this column" → the tool generates `=AVERAGE(B2:B100)`. Excel Copilot, Sheets Gemini, and Rows all do this. Most valuable feature for beginners.

Pattern 2: AI cell functions (=AI(...))

Inside a cell, call an LLM with `=AI("prompt", reference)`. Rows, Sheets (Gemini), and Excel (Copilot) all support it.

- **Rows** is the smoothest. Has `=OPENAI`, `=CLAUDE`, `=PERPLEXITY` model-specific functions.

- **Sheets Gemini** consolidates into a single `=AI()` function. Fast, but you have less model choice.

- **Excel Copilot** has a similar function, but usage quotas are tight.

Pattern 3: data enrichment

"Fill LinkedIn URL and headcount given the company name." Rows, Coda (via Packs), Clay (a separate tool) are strongest. Core for sales and marketing.

Pattern 4: natural-language analysis and charts

"Analyze the trend in this data" → tables and charts generated automatically. Excel Copilot is the strongest; Sheets Gemini is catching up fast. Rows/Coda are weaker for natural-language analysis but stronger at cell-level AI.

Comparison

| --- | --- | --- | --- | --- |

**One-line takeaway.** Rows and Coda go deep on AI; Excel and Sheets go broad. If your team runs heavy data-enrichment flows, pick Rows. If it's natural-language analysis and dashboards, Excel Copilot. If you just want "AI that works cleanly inside a sheet," Sheets Gemini is the safe pick.

Chapter 12 · kintone (Cybozu) — the Japanese powerhouse

kintone is a business-app platform made by Cybozu in Japan. It dominates in Japan (around 45,000 customer organizations as of 2026) and is expanding globally through its US arm.

**Why it dominates in Japan.**

1. **Localization.** Deep Japanese UI, Japanese calendar (Reiwa), approval workflows (ringi, hanko).

2. **Workflow.** Application → approval steps → notifications → next step — fits Japanese approval culture perfectly.

3. **App = table + form + workflow.** A table like Airtable's, with forms/views/actions on top. Closer to a "business app" than a sheet.

4. **On-prem option.** kintone itself is SaaS-only, but the trust earned by other Cybozu products (Garoon, Office) inside Japanese enterprises carries over.

**Pricing.** Around 15 dollars per user per month (Light) and 30 dollars per user per month (Standard). Cheaper than Airtable, cheaper than Smartsheet.

**Weak spots.** Conservative UI. AI features ramped up in 2025–2026 but aren't at Excel Copilot or Rows level. Global integrations (Stripe, Slack, etc.) are thinner than Airtable. Outside Japan, brand awareness is low.

**When to pick kintone.**

- You're a Japanese company or have a Japanese subsidiary → effectively the default candidate.

- Approval workflows are core → kintone is optimized for them.

- Global-first → pick something else.

Chapter 13 · Korea / Japan — form and workflow incumbents

Separate from spreadsheets, the "internal forms / requests / workflows" niche has its own local champions in Korea and Japan.

Korea

- **Naver Workplace Forms.** Part of Naver's collaboration suite. Used for internal request forms, leave/expense processing, surveys. Integrated with Workplace mail/calendar.

- **Kakao Work Forms.** The form feature inside Kakao Work (Kakao's enterprise messenger). Approval flows chained with chatbots.

- **Jandi.** A Korean-origin collaboration messenger. Has form, vote, and announcement features.

- **Excel / Google Sheets in Korea.** Still where most operational sheets live. Large enterprises use Excel + SharePoint or homegrown groupware (Douzone, Younglimwon); startups use Google Sheets and Airtable.

Japan

- **kintone (Cybozu).** As above.

- **SmartHR.** Powerhouse in HR forms and workflows. Onboarding/offboarding, year-end tax filing, attendance forms — valued at around 2.4 billion dollars in 2024, effectively the Japanese HR-SaaS standard. Not a spreadsheet tool, but it has captured the "internal forms" slot.

- **Money Forward, freee.** Accounting SaaS. Not spreadsheet tools either, but they're pushing Excel out of internal accounting workflows.

- **Cybozu Office, Garoon.** Cybozu's groupware lineup. Owns the form/approval slot.

Why Korea and Japan developed differently

1. **Approval culture.** Korean electronic approvals and Japanese ringi/hanko — areas where Western SaaS was slow to support well.

2. **Language / localization.** Airtable, Notion, and Coda took years to handle Korean and Japanese perfectly.

3. **Accounting / tax differences.** Almost every country has its own accounting-SaaS champion (US QuickBooks, Japan freee/MF, Korea Douzone/ECount).

4. **Groupware persistence.** Korean and Japanese enterprises have run homegrown groupware since the 1990s, with forms and approvals baked in.

**So.** If a Korean or Japanese company says "we want something like Airtable," the answer typically splits two ways.

- Global / startup flavor → Airtable / Notion / Coda + a form layer (Jotform, Tally).

- Strong Korea/Japan flavor + approval needed → kintone (Japan), or homegrown groupware / SmartHR / similar (Korea).

Chapter 14 · Who should pick what — decision tree

With all tools mapped, here's the decision frame. Six personas.

Persona A: solo / side project

- Under 100 rows, one person → Google Sheets / Excel. Enough.

- Need Kanban/views → Airtable Free or NocoDB Cloud Free.

- Heavy AI usage → Rows Free.

Persona B: small team (5–20)

- Want Airtable-style workflow but price hurts → **Baserow** or **NocoDB**.

- Data already in Postgres → **NocoDB**.

- Airtable is expensive but needed for the ecosystem → **Airtable Pro**.

- Notion-style doc+table → **Coda** or **Notion**.

- Self-hosting required → **Baserow / NocoDB / Teable / AppFlowy**.

Persona C: mid-market (20–200)

- Deep automations and integrations → **Airtable Business** or **Smartsheet**.

- EU/GDPR → **SeaTable** or **Baserow Cloud**.

- Japan → **kintone**.

- Data scientist / journalist team → **Grist** (Python formulas).

Persona D: enterprise (200+)

- Microsoft 365 standard → **Excel + Power BI + Copilot**.

- Workspace standard → **Sheets + Gemini** plus external Airtable/Notion.

- Project-management PMO → **Smartsheet** (if already embedded).

- Japanese enterprise → **kintone** plus groupware.

Persona E: self-hosting / OSS required

- Airtable alternative → **NocoDB** (on top of an existing DB) or **Baserow** (standalone).

- Notion alternative → **AppFlowy**.

- Data with strong permission requirements (healthcare/journalism) → **Grist**.

Persona F: finance / data analysis

- Sheet-style analysis over BigQuery/Snowflake → **Sigma Computing**.

- SQL plus finance models → **Equals**.

- Accounting close automation → **Numeric** (post-Brex, expect deeper ERP integrations).

- General financial modeling → **Excel + Power BI**, still the standard.

Final line

"One tool for everything" is almost impossible. The 2026 reality is that **the right tool follows the shape of the data.**

- **Operational data** (product catalog, customer tracker) → relational (Airtable / NocoDB / Baserow).

- **Finance / forecasting models** → Excel / Equals.

- **Analytics / BI** → Sigma / Power BI.

- **Internal forms / approvals** → kintone / Naver Workplace / Tally.

- **Doc plus light data** → Notion / Coda / AppFlowy.

Don't try to consolidate; match the tool to the data shape. That's the 2026 best practice.

References

- Airtable Pricing — https://www.airtable.com/pricing

- Airtable Cobuilder — https://www.airtable.com/platform/ai

- NocoDB — https://nocodb.com/

- NocoDB GitHub — https://github.com/nocodb/nocodb

- Baserow — https://baserow.io/

- Baserow GitHub — https://github.com/bram2w/baserow

- Grist Labs — https://www.getgrist.com/

- Grist GitHub — https://github.com/gristlabs/grist-core

- Grist fiscal sponsorship (Code for Science and Society) — https://www.getgrist.com/blog/grist-joins-css/

- Rows — https://rows.com/

- Rows AI functions — https://rows.com/ai

- Coda — https://coda.io/

- Coda AI — https://coda.io/product/ai

- SeaTable — https://seatable.io/

- Smartsheet (Blackstone/Vista acquisition 2024) — https://www.smartsheet.com/content-center/news/smartsheet-be-acquired-blackstone-and-vista-equity-partners

- Teable — https://teable.io/

- Teable GitHub — https://github.com/teableio/teable

- AppFlowy — https://appflowy.io/

- AppFlowy GitHub — https://github.com/AppFlowy-IO/AppFlowy

- Equals — https://equals.com/

- Sigma Computing — https://www.sigmacomputing.com/

- Numeric — https://www.numeric.io/

- Brex acquires Numeric (2026) — https://www.brex.com/journal/brex-acquires-numeric

- Google Workspace Gemini — https://workspace.google.com/solutions/ai/

- Microsoft 365 Copilot — https://www.microsoft.com/en-us/microsoft-365/copilot

- Power BI — https://powerbi.microsoft.com/

- kintone (Cybozu) — https://www.kintone.com/

- Cybozu — https://www.cybozu.com/

- SmartHR — https://smarthr.jp/

- Naver Workplace — https://naverworks.com/

- Kakao Work — https://www.kakaowork.com/

- Jandi — https://www.jandi.com/

- Notion — https://www.notion.so/

- FileMaker (Claris) — https://www.claris.com/filemaker/

- "Airtable price hikes spark backlash" — Bessemer / SaaS analyst coverage 2024–2025

- Cybozu kintone customer count — Cybozu investor disclosures 2025–2026