10 Best Google Sheets Alternatives in 2026 (Free & Paid)

Powerdrill Bloom·September 11, 2026

Google Sheets is free with a personal Google account, opens in any browser, and handles most of what a team needs from a spreadsheet. People start looking for Google Sheets alternatives when one of three things happens. The file gets too big, the work stops being spreadsheet-shaped, or the answer has to be defensible rather than just calculated.

This roundup compares ten tools using only facts published on the vendors' own pages, checked on September 10, 2026. Every price below is the amount displayed on that vendor's pricing page on that date, with the billing basis stated. Every limitation listed can be traced to a published page rather than to a review site.

10 Best Google Sheets Alternatives: At a glance

The ten fall into five shapes. Two are agents that start from an uploaded file. Three are spreadsheet-style grids with their own connectors. Three are notebooks for people who want Python and SQL. One stays inside Sheets and fixes the data supply. One is a managed workbook service with a human analyst attached.

Alternative	Best for	Starting price	Key advantage over a plain spreadsheet
Powerdrill Bloom	An uploaded file that has to produce a defensible number	Free $0; Pro $13.27 per month, billed annually	Answers cite the page, row, and figure behind them
Quadratic	Formulas, Python, and SQL in one grid	Free; Pro $18 per user per month, billed annually	Code and cells live in the same sheet
Sourcetable	A grid wired straight to source systems	Free; Pro $29 per user per month	Connectors listed as unlimited on every tier
Grist	Self-hosting a spreadsheet with database structure	Free $0; Pro $8 per user per month, billed annually	A free, open-source edition you host yourself
Coefficient	Staying in Sheets but fixing the data supply	Free $0; Starter $49 per month	Live source data refreshed inside the sheet
Bricks	Going from a file to a dashboard or a deck	Free $0; Premium $17.50 per user per month, billed annually	Export to PDF, PPTX, XLSX, and HTML
Hex	Publishing an analysis as a shareable app	Free; Professional $36 per Editor per month	Scheduled runs and alerts on the Team plan
Deepnote	A notebook with real compute attached	Free; Team $39 per editor per month, billed yearly	Included CPU and GPU allowances every month
Mito	A spreadsheet inside your own Jupyter setup	Free; Pro $20 per user per month	Runs on your infrastructure with your own keys
Equals	A finance team that wants the workbook managed	Essential $24k per year	A dedicated analyst builds your first reports

Why people look for Google Sheets alternatives

Sheets deserves its position. It is free for personal use, bundled into Google Workspace, collaborative by default, and familiar to almost everyone you will ever hire. For a shared list, a budget, or a quick model, nothing here beats it on time-to-first-cell.

That said, four reasons come up again and again.

The published ceilings are real. Google's own Drive limits page caps a spreadsheet at "up to 10 million cells or 18,278 columns (column ZZZ)." The same limits apply to spreadsheets imported from Excel. Connected Sheets adds its own numbers: "up to 200k rows for pivot tables" and "up to 500k rows or 5m cells for extracts."
Imports are lossy at the edges. The same page warns that when you convert an Excel document to Sheets, "any cell with more than 50,000 characters will be removed in Sheets." Long text notes are exactly where the useful context often hides.
A grid keeps the result, not the reasoning. Tracing a figure back to the rows behind it means following formulas by hand. That trace is the first thing anybody asks for in a review.
The deliverable is usually not a spreadsheet. Most of this work ends in a chart, a report, or a deck. A sheet is the workshop, not the product.

None of that makes Sheets a bad tool. It makes it one tool, and the list below covers the jobs it was not built for.

How to read this list

The order below is inclusion order, not a ranking. Every entry is measured against Google Sheets rather than against each other. These ten do genuinely different jobs. A tool that is perfect for a finance team of forty is the wrong answer for one analyst with a CSV.

Two columns in the table above will settle most of the decision. Best for describes the job. Starting price tells you whether the tool is aimed at an individual, a team, or a procurement process. If two entries still look similar after that, read their Cons blocks rather than their Pros.

1. Powerdrill Bloom: Best for a file that has to survive scrutiny

Of the Google Sheets alternatives here, this is the one that starts furthest from a grid. Powerdrill Bloom is a general-purpose action agent whose flagship strength is data work. Its homepage calls it "the AI data analyst that shows its work." It then states that "every number comes back with the page, the row and the figure behind it."

The free plan lists uploads for Excel, CSV, PDF, and docs, plus search across built-in open data sources. It also covers the ability to "create basic slides, docs, sheets, and images." The workspace can therefore produce the deliverable, not only the analysis.

Paid plans move from exploration to production. The Pro tier lists "Claude Code / Codex-level agent tasks," custom agent skills, Office-grade document output, and 20 scheduled tasks. The homepage also states the product "runs on-premise or in your private cloud, for data that cannot leave your network."

How it differs from Google Sheets

Starting point: you upload the file and ask a question, rather than building the calculation yourself.
Traceability: the published promise is a figure linked back to its source row.
Deliverable: the AI canvas page names PowerPoint, images, and Notion as export targets.

Pros

Uploads cover Excel, CSV, PDF, and docs on the free plan, with 1,000 daily refreshed credits.
Scheduled tasks appear on every plan, so a recurring analysis can run without a person.
The pricing page footer shows SOC 2 Type 2 certification, and private-cloud deployment is described on the homepage.

Cons

The Free plan lists a single scheduled task, so recurring automation effectively starts on Pro.
Usage is credit-based rather than unlimited, and the Credit Package note states that purchased credits are valid for 12 months.

Pricing

Free is $0. Pro is $13.27 per month, Plus is $26.60, and Premium is $132.67, all shown in the annual billing view. Team Pro is $13.27 per seat per month and shares Team Credits across members. Full tier details sit on the pricing page. Try Powerdrill Bloom on the export you argued about last quarter.

Bottom line

Best when the work begins with a file somebody sent you and ends with a number somebody will challenge. If you want to keep writing the transformation yourself in a grid, Quadratic or Sourcetable will feel closer to home.

2. Quadratic: Best for formulas, Python, and SQL in one grid

Quadratic keeps the spreadsheet metaphor and widens what a cell can contain. Its site describes the product as a place to "connect your data, ask AI, and get powerful, shareable, and repeatable code-based spreadsheets." The homepage adds that you can "bring in CSVs, Excel, PDFs, and live databases."

The product menu is unusually explicit for this category. It names an AI agent, sync, charts, PDF data extraction, analysis, research, MCP support, an API, and scheduled tasks. Named connections include Postgres, QuickBooks, Google Analytics, Mixpanel, and Plaid.

How it differs from Google Sheets

Four languages in the grid: formulas, Python, SQL, and JavaScript.
AI budgeted in dollars: Pro includes $20 in AI credits per month, Business $40.
Self-hosting exists, listed on the Enterprise tier.

Pros

The free Personal plan lets you try the grid without a card.
Scheduled tasks and an API are named product features rather than add-ons.
Business adds the ability to purchase additional AI credits on demand.

Cons

Sharing is limited on the Personal plan, and unlimited sharing starts at Pro.
AI usage is metered as a dollar allowance, so heavy months need a budget conversation.

Pricing

Personal is free. Pro is $18 per user per month billed annually, Business is $36, and Enterprise is custom. See the Quadratic pricing page.

Bottom line

The most natural landing spot for an analyst who already writes a little Python and resents leaving the grid to do it. If nobody on your team writes code, Bricks or Powerdrill Bloom will get to the same answer faster.

3. Sourcetable: Best for a grid wired to source systems

Sourcetable describes itself as "the spreadsheet for AI analysis and data science." Its homepage names the connector story directly: the AI "talks to Postgres, Robinhood, Stripe, Notion, Facebook Ads, GA4, and more."

The free tier already includes the AI spreadsheet assistant, AI analysis and summarization, smart formulas, pivots and charts, and template generation. Paid tiers add deep research, premium models, a Python and data science toolkit, and a SQL editor with a query builder.

How it differs from Google Sheets

Connector access is listed as unlimited on all three tiers, including the free one.
Credits, not seats, size the plans, with one-time credit packs available.
Market data appears as a first-class use case, with a quant analyst feature in the menu.

Pros

Data connectors are marked unlimited on Regular, Pro, and Max alike.
Extra credits can be bought as one-time packs, and the page states those credits do not expire.
SQL editor, query builder, and a saved query library arrive at Pro.

Cons

The free Regular plan includes 50 credits per month, which reset monthly.
Deep research and premium AI models are gated to Pro and above.

Pricing

Regular is free with 50 credits per month. Pro is $29 per user per month with 2,000 credits. Max is $100 per user per month with 6,000 credits. See the Sourcetable pricing page. Our Powerdrill Bloom and Sourcetable comparison covers the trade-off in more depth.

Bottom line

A good fit when the data lives in services rather than in files, and you want the grid to pull it directly. If your inputs arrive as attachments instead of APIs, Bricks or Powerdrill Bloom will start sooner.

4. Grist: Best for self-hosting a spreadsheet with database structure

Grist is a grid with database structure underneath, and it is the only entry here with a free, open-source edition you can host yourself. The hosted free plan lists unlimited documents, up to 5,000 records per document, 30-day snapshot history, and 100 one-time AI Assistant credits.

Paid tiers raise ceilings rather than unlocking a different product. Pro moves to 100,000 records per document with three-year snapshot history. Business moves to 150,000 records with five-year history, automations, and priority email support.

How it differs from Google Sheets

You can run it yourself using the free community edition.
Limits are stated as records per document, which makes capacity planning concrete.
Forms and automations are built-in product features rather than scripts.

Pros

The community edition is free and open source, hosted on your own infrastructure.
Every tier includes unlimited documents rather than a document count.
Enterprise lists a dedicated server with a choice of geographical region.

Cons

Each tier has a hard record ceiling per document, topping out at 150,000 on Business.
Business requires a minimum of five users.

Pricing

Free is $0. Pro is $10 per user per month, or $8 billed annually. Business is $30 per user per month, or $24 billed annually, with a five-user minimum. See the Grist pricing page.

Bottom line

The most practical answer when data residency decides the tooling. If you would rather nobody managed a server, Sourcetable covers similar ground as a hosted service.

5. Coefficient: Best for staying in Sheets and fixing the data supply

Not every answer to "what should replace Google Sheets" is a replacement. Coefficient connects live source data into the spreadsheet your team already uses, and layers AI functions onto the sheet itself.

The free plan lists three standard data sources, a 5,000-row import size, and 50 import refreshes per month. It also lists manual refresh, a 100-row export size, 30 alerts per month, and on-sheet AI functions. Paid tiers raise those ceilings and add scheduled refresh and data snapshots.

How it differs from Google Sheets

The grid stays, and the data supply changes.
Two-way movement: exports back to source systems are part of the plan structure.
Alerts are built in, counted per month on every tier.

Pros

The free tier includes real connectors rather than a time-limited trial.
Daily automated refresh and data snapshots begin on the Starter plan.
It runs inside both Google Sheets and Excel.

Cons

The free plan caps imports at 5,000 rows and 50 refreshes per month.
Automated refresh is not available on the free tier at all.

Pricing

Free is $0. Starter is $49 per month. Pro is $99 per month, with a 30-day Pro trial advertised. See the Coefficient pricing page, and our Powerdrill Bloom and Coefficient comparison for the wider trade-off.

Bottom line

The lowest-friction option for a team that is not going to move. If the goal is a finished report rather than a live sheet, Bricks and Powerdrill Bloom both end closer to the deliverable.

6. Bricks: Best for going from a file to a dashboard or a deck

Bricks is blunt about its job. Its own FAQ says the product "is an AI data analyst that instantly creates beautiful dashboards and reports from your CSV, Excel, or PDF data." The same answer says you "simply upload your files."

The product menu reads like a list of deliverables rather than features. It names AI dashboards, AI reporting, AI charts and graphs, an AI spreadsheet, AI presentations, and AI org charts.

How it differs from Google Sheets

Output first: dashboards, reports, and decks are named products.
Export breadth: the Premium tier lists PDF, PPTX, XLSX, and HTML export.
Upload as the entry point, rather than a blank grid.

Pros

The free plan includes AI dashboards, reports, visualization, analysis, and chat with your data.
Pro adds Tableau and Power BI exports plus embeddable dashboards.
Pro also lists importing full PDFs of any length.

Cons

The free plan is capped at 20 AI messages per month.
Premium is described as solo workspace access, so working with teammates starts at Pro.

Pricing

Free is $0. Premium is $25 per user per month, or $17.50 billed annually. Pro is $100 per user per month, or $70 billed annually, and covers up to 10 team members. Details are on the Bricks pricing page.

Bottom line

The shortest route from a raw file to something you can present. If the analysis has to be reproducible code a data team can review, Hex is the better home for it.

7. Hex: Best for publishing an analysis as an app

Hex's tagline is "make everyone a data person," and the product is built around notebooks that become shareable apps. The free Community tier lists the ability to connect any data source, build with all cell types, and trial the Hex agent.

Paid tiers turn that into an operating model. Professional adds the Hex agent proper, standard credits, and up to five published apps. Team adds extended credits, unlimited published apps, visual exploration and drill down, unlimited version history, scheduled runs, and alerts.

How it differs from Google Sheets

The unit of work is a notebook, and the artifact you share is an app.
Governance is explicit: audit logs, OIDC SSO, and bring-your-own-key sit on Enterprise.
Compute is a dial, with small, medium, and add-on tiers named per plan.

Pros

Community is free and still connects to any data source.
Team includes scheduled runs and alerts, which covers recurring reporting.
Enterprise lists HIPAA and embedded analytics as add-ons.

Cons

Professional caps published apps at five and version history at 30 days.
The Community tier offers only an agent trial and small compute.

Pricing

Community is free. Professional is $36 per Editor per month. Team is $75 per Editor per month with a 14-day trial. Enterprise is custom. See the Hex pricing page.

Bottom line

The right choice when several people must read, rerun, and trust the same analysis. If you want that rigour without managing seats and compute, Powerdrill Bloom or Bricks will be lighter to adopt.

8. Deepnote: Best for a notebook with real compute attached

Deepnote is a collaborative analytics and data science notebook, and it competes on hardware as much as on syntax. The free plan lists up to three editors, up to five projects, and limited Deepnote AI. It also includes unlimited basic machines with 5 GB RAM and 2 vCPU, plus seven-day revision history.

The Team plan is where the compute story lands. It lists unlimited viewers and notebooks, premium integrations, background execution, scheduled notebooks, and 30-day revision history. Monthly allowances are described as $39 worth of AI credits, $280 worth of CPU, and $50 worth of GPU.

How it differs from Google Sheets

Hardware is part of the plan, including a stated monthly GPU allowance.
Semantic layer support is named on the platform menu, covering modules, LookML, and dbt.
Python and SQL are the interface, not cells.

Pros

The free tier gives unlimited basic machines rather than a trial window.
Scheduled notebooks and background execution arrive on the Team plan.
Enterprise lists bring-your-own-LLM, audit logs, and single tenancy.

Cons

The free plan caps editors at three and projects at five.
Revision history is seven days on Free and 30 days on Team.

Pricing

Free forever at $0. Team is $39 per editor per month, billed yearly. Enterprise is custom. See the Deepnote pricing page.

Bottom line

Pick it when the analysis needs machines, not just models. If nobody on the team writes Python, Sourcetable or Coefficient will fit the same data with far less setup.

9. Mito: Best for a spreadsheet inside your own Jupyter setup

Mito puts a spreadsheet and an AI agent inside a notebook you already run. Its homepage states that Mito "runs 100% on your infrastructure" and that "enterprises send no data to Mito." It adds that you can "bring your own API keys for Azure, AWS, LiteLLM, or other LLM providers."

It is explicitly Jupyter-native. The site says it runs in your existing Jupyter Lab, JupyterHub, or other notebook environments. It also says it understands notebook file formats, cell context, and kernel state.

How it differs from Google Sheets

It is a layer, not a destination, installed into an environment you maintain.
Model choice is yours, through your own provider keys.
Edits generate code, which keeps the audit trail in the notebook.

Pros

The open-source tier is free and includes AI chat, agent, and autocomplete.
Nothing has to leave your infrastructure, which suits regulated environments.
The Pro tier lists the ability to turn off private telemetry.

Cons

The open-source tier is capped at 150 AI completions per month.
Every install path described on the site assumes an existing Jupyter environment.

Pricing

Open Source is $0. Pro is $20 per user per month. Enterprise is contact-based and covers custom databases, LLMs, and internal infrastructure. See the Mito plans page.

Bottom line

Ideal when your constraint is where the data may run rather than what the tool can do. If the people doing the analysis do not open notebooks, Bricks or Grist will suit them better.

10. Equals: Best for a finance team that wants the workbook managed

Equals sells trust as the product. Its homepage headline is "AI for the numbers that can't be wrong." Its first pillar reads: "A single source of truth for the entire team. Same question? Same answer."

The plan comparison names a BI spreadsheet connected directly to your data, dashboards backed by that spreadsheet, and push-to-Slack delivery. It also names a Forward Deployed Analyst, described as "a dedicated analyst who builds your initial reports."

How it differs from Google Sheets

It is sold as a service, with a human analyst attached to the entry plan.
Seats are unlimited on every tier, and the meter is connectors and sync frequency.
AI spend is budgeted per month, starting at $250 included.

Pros

Unlimited seats and unlimited viewers on all three tiers.
Data sync tightens from six hours to one hour to 15 minutes as you move up.
Writeback to your CRM and unlimited row handling appear from the Business tier.

Cons

The entry plan is an annual commitment at $24k per year, which prices out small teams.
Every tier routes through a demo request rather than self-serve signup.

Pricing

Essential is $24k per year, Business is $36k per year, and Enterprise is $60k per year. Included AI spend is $250, $500, and $1,000 per month respectively. See the Equals pricing page.

Bottom line

The enterprise end of this list, and honest about it. If you want the same reliability discipline at a self-serve price, Powerdrill Bloom and Hex both publish per-seat plans.

What migrating actually costs

The tool comparison is the easy part. Three costs decide whether a move sticks, and none of them appears on a pricing page.

Rebuilding the formulas. Anything with a custom function, an ARRAYFORMULA, or a script attached does not travel. Budget the rebuild honestly, and count how many sheets genuinely need it rather than how many exist.

Re-teaching the sharing model. Sheets permissions are understood by everyone in the company. Any replacement has its own model, and the first time somebody cannot open a file, the migration acquires an opponent.

Keeping one source of truth during the overlap. The dangerous period is the month when half the team is on the new tool and half is still editing the old sheet. Pick a cut-over date, freeze the old file to view-only, and accept a week of friction rather than a quarter of divergence.

A useful test before committing: take the single worst spreadsheet you own, the one everyone complains about, and rebuild only that one. If the replacement does not clearly win on your worst case, it will not win on the routine ones either.

How we compared these alternatives

Every claim above comes from a page the vendor publishes itself: pricing tables, feature lists, product pages, and published limits. Prices are the amounts displayed on each pricing page on September 10, 2026, with the billing basis stated. No third-party rating platforms were used, and no product was scored on a test we did not run.

We applied six criteria, in this order:

Verifiable pricing. A tool needed at least one paid tier stated in US dollars on its own pricing page.
Stable identity. Pages announcing an acquisition, a rename, or a shutdown were excluded.
Input type. Whether the tool starts from an upload, a connector, or a notebook.
Output type. Whether it ends in a grid, an app, a dashboard, or a document.
Published limits. Row ceilings, credit allowances, seat minimums, and history windows.
Deployment. Hosted only, self-hostable, or runnable on your own infrastructure.

We started from fifteen candidates and kept ten. Rows was removed because its pricing page states, on every tier, that Rows has joined Superhuman. Numerous.ai was removed because its pricing URL redirects to the homepage and no standalone pricing page exists. Three more were removed because their pricing pages show only a free tier and a contact-sales option, with no dollar figure for any middle plan. Every entry is held to that same standard, including the Cons block.

There is a second way to read this question. Our roundup of AI tools for Google Sheets analysis covers products that work inside Sheets rather than instead of it.

How to choose the right Google Sheets alternative

Choose this	If you…
Powerdrill Bloom	Start from a file and need each number tied back to its source row
Quadratic	Want formulas, Python, and SQL in the same grid
Sourcetable	Want a familiar grid that pulls directly from Postgres, Stripe, or GA4
Grist	Must host the data yourself, or want hard record limits you can plan around
Coefficient	Are staying in Sheets and only need the data supply fixed
Bricks	Need a dashboard or a deck out the other side, not a workbook
Hex	Have several people who must rerun and review the same analysis
Deepnote	Need real compute, including GPU, attached to the notebook
Mito	Already live in Jupyter and cannot send data to a vendor
Equals	Want a managed finance workbook with an analyst who sets it up

A practical shortcut for picking among Google Sheets alternatives: write down where your data starts and where it has to end. Those two points eliminate seven of the ten within a minute, and the remaining three are usually easy to separate on price.

Final verdict

Sort these ten Google Sheets alternatives by shape rather than by score and the choice gets easy.

The file-first cluster is Powerdrill Bloom and Bricks. Both start with an upload and end with something you can show a room. Bricks is the more direct route to a dashboard. Powerdrill Bloom is the one that attaches the source row to the claim, which matters when the claim gets challenged.

The grid cluster is Quadratic, Sourcetable, Grist, and Coefficient. Quadratic widens what a cell can hold, and Sourcetable brings connectors to a new spreadsheet. Grist adds database structure and self-hosting. Coefficient leaves the grid where it is and fixes the supply.

The notebook cluster is Hex, Deepnote, and Mito. Hex publishes analyses as apps, Deepnote attaches serious hardware, and Mito stays inside your own Jupyter environment.

Equals stands alone at the managed, annual-contract end, with a human analyst included in the price.

Google Sheets itself remains the right answer more often than this list implies. It is free, it is everywhere, and the published ceilings are generous for most teams. The tools above are alternatives, not replacements, and the right one depends entirely on where your data starts and what has to come out.

Frequently asked questions

What is the best free Google Sheets alternative?

Eight of the ten here publish a free tier: Powerdrill Bloom, Quadratic, Sourcetable, Grist, Coefficient, Bricks, Hex, Deepnote, and Mito. The limits differ sharply, from 20 AI messages per month on one plan to 1,000 daily refreshed credits on another.

Which Google Sheets alternative can I self-host?

Grist publishes a free and open-source community edition you host yourself. Mito states that it runs entirely on your own infrastructure inside your existing Jupyter environment. Powerdrill Bloom's homepage describes on-premise and private-cloud deployment.

What are the size limits in Google Sheets?

Google's Drive limits page states up to 10 million cells or 18,278 columns for spreadsheets created in or converted to Sheets. The same limits apply to Excel imports, and Connected Sheets allows up to 200k rows for pivot tables.

Do any of these produce slides or reports rather than spreadsheets?

Bricks lists AI presentations and PPTX export as product features. Powerdrill Bloom lists slide creation on every plan and names PowerPoint as an export target. The notebook tools focus on apps and dashboards instead.

What should a small team expect to pay?

Entry paid plans in this list run from $8 per user per month for Grist to $100 per user per month for Bricks Pro. Most land between $13 and $39. Equals is the outlier, starting at $24k per year for unlimited seats.