9 Best Sourcetable Alternatives & Competitors in 2026 (Pricing & Features)

Powerdrill Bloom·August 27, 2026

Sourcetable describes itself as an AI spreadsheet and an AI data analyst in one grid. That covers a lot of ground, which is exactly why teams start shopping.

This comparison is built from published facts only. Every price and every capability below comes from each vendor's own pages, checked on August 26, 2026.

9 Best Sourcetable Alternatives: At a glance

The nine tools below solve the same brief in very different shapes. Some are spreadsheets with an agent attached, some are notebooks, and a few are platforms you build on top of.

Alternative	Best for	Starting paid price	Key difference from Sourcetable
Powerdrill Bloom	Turning a file into a finished deliverable	$13.27 per month, billed annually	Slides, Office documents, and Excel analysis as the output
Julius AI	One workspace across analysis and creation	$20 per month, billed monthly	Also produces presentations, websites, images, and video
Bricks	Dashboards straight from a file	$25 per user per month, billed monthly	Dashboard-first output rather than a working grid
Quadratic	A grid that also runs code	$18 per user per month, billed annually	Python, SQL, Formulas, and JavaScript in the same sheet
Hex	A governed analytics workspace	$36 per Editor per month	Runs live queries against your warehouse instead of files
Deepnote	Notebooks with managed compute	$39 per editor per month, billed yearly	Metered CPU and GPU allowances per plan
Equals	A finance-owned reporting stack	$24,000 per year	Annual contracts with unlimited seats and a deployed analyst
Airtable	Building an app around the data	$20 per user per month, billed annually	Record-based platform with an app builder
ThoughtSpot	Natural-language search over governed data	$25 per user per month, billed annually	Search layer on modelled enterprise data

Why people look for Sourcetable alternatives

Sourcetable covers a genuinely wide brief. Its free tier already lists AI analysis, smart formulas, pivots, charts, magic-autofill, Excel template generation, and data cleaning.

For many people that breadth is the whole appeal. One grid, one assistant, and no tool switching.

Teams still leave, and usually for one of four reasons.

Credit budgets are hard to forecast. Sourcetable meters credits per tier, at 50 on the free plan, 2,000 on Pro, and 6,000 on Max. Work that varies month to month is awkward to size.

The output needs to be a document. A grid is a working surface. Some teams need slides, a written report, or a dashboard as the actual deliverable.

Governance sits with a data team. Organisations with a modelled warehouse often want analysis to run against live tables rather than uploaded files.

Seats and collaboration matter more than features. Per-user credit pools get expensive once a whole department is involved.

1. Powerdrill Bloom: Best for turning a file into a finished deliverable

Powerdrill Bloom is an AI data analysis workspace with memory. Its home page describes the product as "The AI data analyst that shows its work."

The provenance claim is the specific part. The same page states that "Every number comes back with the page, the row and the figure behind it."

Deployment is named there too. The page describes running "on-premise or in your private cloud, for data that cannot leave your network." The footer states SOC 2 Type 2 certification.

The two most common paths have their own pages, for the CSV AI assistant and the AI report generator.

How it differs from Sourcetable

The artifact is the output: Plans list slides, Office documents, and Excel analysis alongside charts and summaries
Credits refresh daily: The free plan lists 1,000 daily refreshed credits, where Sourcetable's free tier lists 50 per month
Annual pricing is published: Powerdrill Bloom's pricing page lists a rate billed annually, while Sourcetable's page lists monthly per-user prices

Pros

Free plan lists file uploads, built-in agent skills, and basic slides, docs, sheets, and images
Scheduled tasks are published per plan, at 1 on Free and 20 on Pro
Team Pro is listed at the same per-seat rate as the individual Pro plan

Cons

The connectors page names Excel, TSV, and CSV uploads plus SQL access, and does not name dbt, Snowflake, or Databricks
The pricing page does not describe a semantic model layer, version history, or a separate viewer seat

Pricing

Powerdrill Bloom lists Free at $0 and Pro at $13.27 per month billed annually. Plus is $26.60 and Premium is $132.67, with Team Pro at $13.27 per seat per month. Check the pricing page, then try Powerdrill Bloom on a real export.

Bottom line

Powerdrill Bloom fits the case where a file arrives and a document is due. If your data already sits in a governed warehouse, Hex starts closer to that shape, and the Powerdrill Bloom vs. Sourcetable comparison covers the head-to-head in detail.

2. Julius AI: Best for one workspace across analysis and creation

Julius AI positions itself as a workspace rather than a spreadsheet. Its pricing page frames the product around four verbs: analyse data and research, create presentations and reports, build websites, and generate images and video.

Data access widens with the plan. The free tier lists a Google Drive connector, and paid tiers add Snowflake, BigQuery, and Postgres.

Model access is tiered too. Free runs Julius Lite models, Plus adds GPT-5.6 and Claude Sonnet 5, and higher plans list all models including Claude Fable 5.

Julius also describes a schema-handling approach for large warehouses. Its FAQ says Julius "builds a semantic layer of your schema to avoid having to tackle thousands of tables at a time."

How it differs from Sourcetable

Wider output range: Presentations, websites, images, and video sit alongside analysis in the same workspace
Connector tiering: Warehouse connections start on paid plans rather than being available on every tier
Team ceiling published: The Business plan states up to 50 team members, with a contact route beyond that

Pros

Free plan can create presentations, reports, websites, images, and video
Credit allowances are published per plan, from 2,000 to 60,000 per month
Scheduled report runs are unlimited on the Business plan

Cons

The AI presentation, image, video, and website builders are marked Limited on the free plan
Custom Agents and the Slack Agent are listed as Business-plan features

Pricing

Julius AI lists Free at $0, Plus at $20 per month or $16 billed yearly, and Pro at $45 or $37. Above that it lists Max at $200 or $166 and Business at $450 or $375, with Enterprise as a contact route. Our Julius AI alternative page covers the category from the other direction.

Bottom line

Julius AI is the closest thing here to a general workspace, and the breadth is real. If you only ever need a spreadsheet with an assistant in it, Sourcetable is the narrower and cheaper fit.

3. Bricks: Best for dashboards straight from a file

Bricks is explicit about its job. Its FAQ describes it as "an AI data analyst that instantly creates beautiful dashboards and reports from your CSV, Excel, or PDF data."

The free tier is functional rather than a teaser. It lists AI dashboards and reports, AI data visualisation, AI data analysis, and AI chat with your data.

Export options are the paid unlock. Premium adds PDF, PPTX, XLSX, and HTML export, and Pro adds Tableau and Power BI exports plus embeddable dashboards.

Metering is by AI messages rather than credits. That is easier to reason about, and it is also a harder ceiling.

How it differs from Sourcetable

Dashboard-first: The default artifact is a dashboard or report rather than a working grid
Message metering: Plans are sized in AI messages per month, not credits
Export as a tier gate: File export begins on the paid plans

Pros

Free plan includes dashboards, visualisation, analysis, and chat with your data
Pro removes the AI message cap entirely
Pro can import full PDFs of any length

Cons

The free plan is capped at 20 AI messages per month
The Pro plan states up to 10 team members

Pricing

Bricks lists Free at $0 and Premium at $25 per user per month, or $17.50 billed annually. Pro is $100 per user per month, or $70 billed annually.

Bottom line

Bricks is the fastest route from a file to a presentable dashboard. If you need to keep editing cells afterwards, a grid-native tool like Sourcetable or Quadratic fits better.

4. Quadratic: Best for a grid that also runs code

Quadratic keeps the spreadsheet metaphor and adds real languages. Its site lists Python, SQL, Formulas, and JavaScript as code options in the same file.

The surrounding feature set is broad for a grid. Quadratic lists an AI Agent, Sync, Charts, PDF Data Extraction, Analysis, Research, MCP, an API, and Scheduled Tasks.

Connections lean operational rather than warehouse-only. Postgres, QuickBooks, Google Analytics, Mixpanel, and Plaid are named.

AI is budgeted in dollars rather than credits. Pro includes $20 in AI credits per month and Business includes $40.

How it differs from Sourcetable

Four languages in one grid: Python, SQL, Formulas, and JavaScript rather than a Python toolkit on higher tiers
Dollar-denominated AI budget: Included AI spend is stated in dollars per month
Scheduled tasks and MCP: Automation and tool interoperability are named product features

Pros

Pro and Business publish included AI budgets of $20 and $40 per month
Additional AI credits can be purchased on demand on the Business plan
Personal plan is free and open to individuals

Cons

The Personal plan lists limited AI usage, sharing, files, and connections
Single sign-on is listed under Enterprise

Pricing

Quadratic lists Personal as Free, Pro at $18 per user per month billed annually, and Business at $36 per user per month billed annually. Enterprise is custom.

Bottom line

Quadratic is the pick when formulas run out and you would rather write Python than move tools. If code is not the goal, its flexibility is overhead you will not use.

5. Hex: Best for a governed analytics workspace

Hex describes itself as "The AI Analytics Platform where trust meets insight." The product shape is an agentic notebook combining code, no-code, queries, and visuals.

Its architecture statement is the clearest differentiator in this list. Hex's security page says "your analysis is powered by live queries against your database."

The same page states the design intent directly. Hex describes "No more extracting data to notebooks, .csv, and Excel files, proprietary third-party databases, or desktops."

Warehouse pushdown is central. Hex names Snowflake, Redshift, BigQuery, Databricks, and dbt, and describes pushing compute down to the warehouse.

How it differs from Sourcetable

Files are not the starting point: The design goal is minimising data movement rather than uploading a spreadsheet
Compute is a priced resource: Larger machines are billed per minute of usage on top of seats
Editor and viewer roles: Pricing is per Editor, with viewer access handled separately

Pros

Community plan is $0 and can connect any data source
IDE-class Python and R sit alongside a SQL editor with dbt integration
Team plan adds scheduled runs, alerts, and unlimited version history

Cons

The Community plan lists the Notebook agent as a trial rather than an included feature
Free trials are limited to Medium compute

Pricing

Hex lists Community at $0, Professional at $36 per Editor per month, and Team at $75 per Editor per month, with Enterprise on request. Pay-as-you-go compute is listed from $0.32 per hour for Large up to $4.06 per hour for an A10G GPU. Our Powerdrill Bloom vs. Hex comparison and our Hex alternatives roundup go deeper.

Bottom line

Hex is built for teams whose data already lives in a governed warehouse. If your input is a file someone emailed you, its central premise works against you.

6. Deepnote: Best for notebooks with managed compute

Deepnote is a notebook platform with explicit machine allowances. The free plan lists unlimited Basic machines with 5 GB RAM and 2 vCPU.

The paid plan bundles resources in dollars. Team includes $39 of AI credits, $280 of CPU, and $50 of GPU per month.

Model access is named rather than vague. Deepnote lists GPT-5.6 Sol and Sonnet 4.6 access on the Team plan.

Enterprise is where the control surface appears. Deepnote lists permission groups, SSO with directory sync, private Docker images, bring your own LLM, audit logs, and single tenancy.

How it differs from Sourcetable

Compute is itemised: CPU and GPU allowances are published in dollar terms per month
Editor and viewer split: Team includes unlimited viewers alongside paid editors
Notebook-native: Cells and execution order replace the grid entirely

Pros

Free plan is genuinely usable with up to 3 editors and 5 projects
Team plan includes background execution and scheduled notebooks
Enterprise supports bring your own LLM

Cons

The free plan caps revision history at 7 days and projects at 5
Deepnote AI is listed as Limited on the free plan

Pricing

Deepnote lists Free forever at $0, Team at $39 per editor per month billed yearly, and Enterprise as custom. See our Deepnote alternatives roundup for the wider notebook category.

Bottom line

Deepnote suits teams who write code and want the compute bill made visible. If nobody on the team writes Python, the notebook format is friction rather than power.

7. Equals: Best for a finance-owned reporting stack

Equals is priced and packaged as an annual platform, not a seat. Its plans are quoted per year, and every tier lists unlimited seats.

The product is still a spreadsheet. Its FAQ states plainly that "Equals is a fully-featured spreadsheet," with dashboards backed by that same flexibility.

One commitment stands out against everything else in this list. Equals states: "Are there any usage limits? No. You can use Equals as much as you want. We do not limit the number of queries, spreadsheets, or dashboards."

A human is part of the package. Equals lists a Forward Deployed Analyst described as "A dedicated analyst who builds your initial reports."

How it differs from Sourcetable

Annual contracts, unlimited seats: Pricing scales by connectors and sync frequency instead of headcount
No usage caps on queries or dashboards: Metering shifts to included AI spend per month
Implementation is staffed: A deployed analyst builds the first reports

Pros

Unlimited seats on every plan, including the entry tier
Included AI spend is published at $250, $500, and $1,000 per month by tier
Data sync intervals are published at 6 hours, 1 hour, and 15 minutes

Cons

Entry pricing starts at $24,000 per year, which rules it out for individuals
A fair use policy applies to connections powered by its partner Fivetran

Pricing

Equals lists Essential at $24,000 per year, Business at $36,000 per year, and Enterprise at $60,000 per year.

Bottom line

Equals is aimed at finance teams who want trusted recurring reporting and will sign an annual contract for it. For anything smaller, the entry price settles the question.

8. Airtable: Best for building an app around the data

Airtable is a record-based platform rather than a grid for analysis. Its AI page headline is "AI that's built for the way your business actually works."

The builder is called Omni. Airtable describes it as a way to "Generate AI-powered apps through natural conversation."

There is a second AI surface aimed at enrichment. Airtable describes Field Agents as "AI-powered researchers, analysts, and content creators."

Metering has an unusual split that is worth knowing before you budget. Airtable states that asking Omni to build and iterate on apps "comes at no additional cost." Data questions are metered separately, at "10 credits per response."

How it differs from Sourcetable

Records, not cells: Capacity is published as records per base rather than file size
App building is the goal: The output is an internal tool rather than an analysis
Split metering: Building is uncharged while data questions consume credits

Pros

Record and attachment ceilings are published clearly per tier
Business plan includes 100,000 automation runs per month
Hitting a ceiling does not lock you out of existing data

Cons

The AI page describes attachments such as briefs, notes, and docs, and does not describe CSV or Excel file analysis
Analysis questions are charged at 10 credits per response

Pricing

Airtable lists Free at $0, Team at $20 per user per month billed annually, and Business at $45 per user per month billed annually. Enterprise Scale is custom.

Bottom line

Airtable is the right call when the deliverable is a working internal app. If you just need answers out of a file, its record model is a detour.

9. ThoughtSpot: Best for natural-language search over governed data

ThoughtSpot puts a search box on top of modelled enterprise data. Its plans are split between per-user and usage-based pricing.

The AI layer is named and metered. ThoughtSpot lists Spotter AI Agents on both routes. The per-seat tier caps them at 25 queries per month per user, and the usage-based tier lists unlimited LLM tokens.

Scale is published in rows as well as users. The entry tier lists 5 to 50 users and up to 25 million rows. The next tier lists up to 1,000 users and 250 million rows.

There is a genuinely free route for builders. ThoughtSpot lists a Developer option as free for one year, with up to 10 users and 25 million rows.

How it differs from Sourcetable

Search over a model: Questions run against governed, pre-modelled data rather than an uploaded file
Row-count tiering: Capacity is expressed in millions of rows per plan
Two pricing axes: Per-user and per-credit options sit side by side

Pros

Developer option is free for one year with API and SDK access
Usage-based pricing starts as low as $0.10 per credit
Analyst Studio is included on the AI-enabled tiers

Cons

The per-seat AI tier caps Spotter AI Agents at 25 queries per month per user
The entry tier is limited to 50 users and 25 million rows

Pricing

ThoughtSpot lists per-user pricing starting as low as $25 per user per month, billed annually. A higher tier starts as low as $50, and usage-based pricing starts as low as $0.10 per credit. Enterprise is custom.

Bottom line

ThoughtSpot suits organisations that already model their data and want a search box on top of it. If your input is a file on your laptop, the modelling work comes first, and Bricks or Quadratic get you there sooner.

How we compared these alternatives

This is a documentation comparison, not a hands-on review. That distinction changes what you should trust here and what you should verify yourself.

Every fact above comes from the vendor's own published pages. Prices are the figures displayed on each pricing page on August 26, 2026, and promotional framing has been left out because it expires.

Where a capability is not described on a vendor's pages, we say the pages do not describe it. We do not claim a product cannot do something. Every entry is held to that same standard, including the Cons block.

We also do not cite third-party rating platforms. Six dimensions guided what we looked for on each site.

Starting point: Does the tool expect a file, a warehouse, or a connected app
Output shape: Grid, dashboard, notebook, document, or app
Metering unit: Credits, messages, seats, rows, compute, or contract value
Published ceilings: Row limits, message caps, user caps, and revision history
Technical floor: Whether SQL or Python is required to get value
Collaboration model: Editors, viewers, and how team access is priced

One caveat on coverage. Rows was a natural candidate for this list and was dropped from it.

The reason is on its own pricing page. That page now states that Rows has joined Superhuman, which puts its plans in a transition we cannot report accurately.

How to choose the right Sourcetable alternative

Match the tool to where your work starts and where it has to end.

Choose	If you
Powerdrill Bloom	Start from a file and need slides, a document, or a report as the output
Julius AI	Want analysis plus presentations, websites, and media in one workspace
Bricks	Need a presentable dashboard from a CSV, Excel, or PDF quickly
Quadratic	Want formulas and Python, SQL, or JavaScript in the same grid
Hex	Have a governed warehouse and want analysis to run against live tables
Deepnote	Write code and want CPU and GPU allowances made explicit
Equals	Run finance reporting, want unlimited seats, and can sign annually
Airtable	Are building an internal app rather than answering a question
ThoughtSpot	Need natural-language search across modelled enterprise data at scale

Final verdict

Four clusters emerge once the pricing pages are lined up.

The grid cluster is Sourcetable and Quadratic. Both assume a file and differ mainly in whether you end up with cells or code.

The engineering cluster is Hex and Deepnote, and both assume a warehouse and a person who writes queries. Equals, Airtable, and ThoughtSpot are platform bets, priced by contract, records, or rows rather than by convenience.

The fourth cluster treats the finished artifact as the point. Powerdrill Bloom, Bricks, and Julius AI all start from a file and hand back a dashboard, a deck, or a document. That is the group to look at when someone emails you an export and a report is due tomorrow.

Frequently asked questions

Which Sourcetable alternative is cheapest to start with?

Several have a free tier, including Powerdrill Bloom, Julius AI, Bricks, Quadratic, Hex, Deepnote, and Airtable. Among the paid entry plans, Powerdrill Bloom at $13.27 per month billed annually is the lowest listed here. Quadratic follows at $18 per user per month.

Do I need to know SQL or Python to use these?

Not for all of them. Bricks, Airtable, and ThoughtSpot are built around no-code paths, while Hex and Deepnote assume someone on the team writes queries or code.

Which ones work from a file rather than a database?

Powerdrill Bloom lists Excel, CSV, PDF, and doc uploads. Bricks names CSV, Excel, and PDF as inputs, and Quadratic lists PDF data extraction. Hex describes its design goal as minimising data extraction to files, so it points the other way.

How should I compare credits, messages, and seats?

Convert everything to a monthly cost for your actual volume before comparing. Credits, AI messages, included AI spend in dollars, compute hours, and row ceilings are not interchangeable units.

Is a spreadsheet tool or a document tool the right choice?

It depends on where your work ends. Choose a grid if you keep editing cells afterwards. Choose a tool that produces documents if the output is a report or deck that gets forwarded.