AI Data Analysis Tools in 2026: Chat Analysts, Spreadsheets and BI
February 10, 2026 · Updated September 28, 2026 · 14 min read
The phrase "AI data analysis tools" covers three quite different products: chat assistants that analyse a file you upload, spreadsheets and add-ins that put AI next to your cells, and BI or modelling platforms that add a conversational layer over governed data. Most people asking the question only need the first tier. Some need the second. The third is a purchase decision, not a download.
This guide sorts the AI analytics software we would actually point a team at into those three tiers, says when the analysis built into ChatGPT or Claude is enough, and matches each tool to the kind of team it suits. Every description and price was checked September 2026 against the vendor's own site. Where a vendor blocked our check or does not publish prices, we say so rather than guess. Several products from earlier editions have been renamed, refocused or shut down; those changes are listed near the end.
If you are exploring broader AI productivity tools, we have a separate guide for that.
Tier 1. Chat Analysts: Upload a File, Ask a Question
These tools take a CSV, an Excel file or an exported report, write and run code behind the scenes, and hand back a chart, a table or a written answer. They are the fastest way to get a first read on a dataset you already have on disk. They are not a reporting system: nothing refreshes on a schedule, nothing is governed, and every answer needs a sanity check against a number you already know.
ChatGPT (data analysis)
OpenAI's data analysis feature, the successor to Code Interpreter, lets you upload files into a chat and ask ChatGPT to clean, analyse or chart them. It writes and runs Python in a sandbox, shows the code if you ask, and can read Google Sheets and Excel files directly from Google Drive or OneDrive.
What it does well: Python execution with pandas and matplotlib, interactive tables and charts, multi-file uploads, iterative follow-up questions. OpenAI's help centre lists spreadsheet uploads at roughly 50 MB per file, with daily upload caps that differ by plan.
Pricing: File uploads and data analysis are available on the Free plan with tighter limits, and on the paid Go, Plus, Pro, Business and Enterprise plans with higher caps. OpenAI's pricing page blocked our automated check in September 2026, so check the vendor's pricing page for current figures.
Best for: Anyone who already pays for ChatGPT and needs ad hoc answers from a file. Weak for repeat reporting, because every session starts from scratch.
Claude (code execution and file creation)
Anthropic's Claude runs code in a sandbox to analyse uploaded files, then returns charts, cleaned datasets and downloadable spreadsheets, documents or PDFs. The older JavaScript analysis tool was retired in November 2025 in favour of this fuller code execution environment. A separate Claude for Excel add-in works inside an open workbook: it explains formulas with cell-level citations, changes assumptions without breaking dependent cells, and traces errors to their source.
What it does well: Python-based analysis, chart images, .xlsx and .csv outputs, 30 MB per file for uploads and downloads, Projects for keeping related files together. Claude for Excel handles sort, filter, pivot table edits and conditional formatting, but not macros or data tables.
Pricing: Code execution and file creation are available on Free, Pro, Max, Team and Enterprise. Pro is $20 per month, or $17 per month billed annually. Max starts at $100 per month. Team seats are $20 to $25 per seat per month. Claude for Excel needs Pro or above.
Best for: People who work in Excel models and want an assistant inside the workbook, and anyone who wants analysis outputs as real files rather than screenshots.
Julius AI
Julius started as a chat analyst for spreadsheets: upload a file, ask a question, and it writes and runs Python to return charts, statistics and explanations. It has since broadened into a general assistant that also produces Excel files, presentations and other documents, so analysis is now one part of a wider product.
What it does well: Automatic charts, statistical tests, data cleaning, exported notebooks, and shared workspaces on team plans. Julius explains its steps, which makes a wrong assumption easier to catch than a black-box answer.
Pricing: Julius lists a Free plan with a daily credit allowance plus Plus, Pro, Business and Enterprise plans. Its pricing page blocked our automated check in September 2026, so check the vendor's pricing page before comparing it with ChatGPT or Claude.
Best for: Non-technical users who want a purpose-built analysis chat with a lower learning curve than a general assistant.
Better Analyst (formerly Formula Bot)
Formula Bot began as a text-to-Excel-formula generator and has been rebuilt and renamed Better Analyst. It now connects to around 30 data sources, including Google Analytics, Snowflake, BigQuery and Excel, and turns them into chat-driven analyses, dashboards, reports and scheduled workflows.
What it does well: Chat analysis over connected sources, AI-assisted dashboard building, text and sentiment analysis, data enrichment, automated reports.
Pricing: Free tier with no card required. Starter at $20 per month (250 chat messages, 2 dashboards, 2 sources). MAX at $40 per month (unlimited messages, 10 dashboards, 10 sources). Business at $80 per month (20 dashboards, 50 sources). Annual billing is discounted.
Best for: Solo marketers and small teams who have outgrown file uploads and want a cheap connected dashboard without buying a BI platform.
Browse all AI data analysis tools on AI Registry to compare features and pricing side by side.
Tier 2. Spreadsheet-Native Tools and Add-ins
If your team lives in Google Sheets or Excel, the most useful AI is the kind that stays there. These tools either replace the spreadsheet with one that has AI and live connectors built in, or add AI and data syncing to the spreadsheet you already use. Two changes since our last edition: Lido no longer sells a spreadsheet product (it is now a document extraction tool that turns invoices and PDFs into rows), and Equals has moved from a self-serve spreadsheet to an annual BI contract.
Rows
A cloud spreadsheet with AI in the cells and connectors to Google Analytics, Stripe, HubSpot and other sources. You describe a formula, a classification or a summary in plain English and Rows writes it. Data tables can refresh on a schedule and sheets publish as shareable reports.
What it does well: AI tasks for formula writing, column summaries and text classification, cell enrichment, scheduled data table refreshes, shareable and embeddable reports, version history.
Pricing: Free with 5 AI tasks per month and 1 MB file imports. Plus at $8 per user per month with 200 AI tasks. Pro at $79 per month plus $8 per user with 1,000 AI tasks, 100 integration accounts and unbranded embeds. Enterprise is custom.
Best for: Marketing and operations teams who want a spreadsheet that pulls its own data and can be shared as a report.
Coefficient
An add-on for Google Sheets and Excel that pulls live data from Salesforce, HubSpot, databases and warehouses into the spreadsheet you already use, keeps it refreshed, and can push edits back. AI shows up as on-sheet functions and as builders that write SQL, charts and pivots for you.
What it does well: Scheduled imports, snapshots, alerts to Slack or email, on-sheet AI functions, SQL, chart and pivot builders, export back to source systems.
Pricing: Free with 3 standard sources and 5,000-row imports. Starter at $49 per month with daily refresh. Pro at $99 per user per month with hourly refresh, 6 sources and up to 5 users. Enterprise is custom, with premium sources and SSO. Annual billing is discounted.
Best for: Revenue operations, finance and sales ops teams who report out of Google Sheets and need the numbers to stay current without manual exports.
Equals
Equals is a spreadsheet wired directly to your warehouse, database and SaaS tools, now sold as a BI platform rather than a per-seat spreadsheet. Each contract bundles a forward-deployed analyst who sets up the data model, Slack reporting, and an AI agent that builds reports and answers questions, with a monthly AI spend included.
What it does well: Native SQL and connector queries in cells, dashboards, Slack delivery, writeback to CRM systems, unlimited rows, refresh every 6 hours, 1 hour or 15 minutes depending on tier.
Pricing: Essential at $24,000 per year, Business at $36,000 per year and Enterprise at $60,000 per year, each with included monthly AI spend ($250, $500 and $1,000) and usage billing beyond it.
Best for: Finance and SaaS metrics teams at funded startups who want a spreadsheet interface with someone else doing the data plumbing. Not a fit for individuals.
Browse all AI data analysis tools on AI Registry to compare features and pricing side by side.
Tier 3a. BI Platforms With AI Built In
The established BI vendors have all added a conversational layer on top of governed data models. The AI is only as good as the semantic model beneath it, so these platforms pay off for teams that already have a warehouse and someone to maintain definitions. Prices here are per user per month unless noted, and nearly all of it is billed annually.
Microsoft Power BI and Fabric Copilot
Power BI remains Microsoft's BI tool. Microsoft Fabric is the platform around it that adds a lakehouse, data pipelines, warehousing, notebooks and Copilot. Copilot in Power BI writes DAX, drafts report pages, summarises visuals and answers questions, and Fabric data agents let you ask questions of governed data in natural language.
What it does well: Copilot for report creation and DAX, data agents, notebooks with Copilot for Python and Spark, OneLake storage, KQL for real-time data, Microsoft 365 and Teams integration.
Pricing: Power BI Pro is $14 per user per month and Premium Per User is $24 per user per month, billed yearly. Copilot is not included in those licences: it needs a paid Fabric capacity (F2 or higher) and consumes that capacity. Fabric capacity is billed per capacity unit per hour and varies by region, so check the Azure pricing page for yours.
Best for: Organisations already on Microsoft 365 and Azure. Budget for a Fabric capacity from day one if Copilot is the reason you are buying.
Tableau
Salesforce's Tableau now ships Tableau Agent for building and explaining visualisations and calculations, and Tableau Pulse, which pushes plain-language metric summaries and alerts to Viewers. The drag-and-drop authoring underneath is unchanged.
What it does well: Tableau Agent in Desktop and web authoring, Pulse metric digests, anomaly and trend explanations, Prep flows, Salesforce data integration, a mature visualisation engine.
Pricing: Tableau's pricing pages list Cloud Standard at $75 (Creator), $42 (Explorer) and $15 (Viewer) per user per month, billed annually, with a higher-priced Enterprise edition. Tableau blocked our automated check in September 2026, so confirm current figures on the vendor's pricing page.
Best for: Mid-size and enterprise teams that already run Tableau or Salesforce. Buying it fresh for the AI layer alone is hard to justify against Power BI or ThoughtSpot on price.
ThoughtSpot
ThoughtSpot was built around search-style questions before large language models arrived. Its Spotter agents now cover conversational analysis, data modelling, visualisation and code generation over live warehouse data. It queries Snowflake, BigQuery, Databricks and Redshift in place rather than importing data.
What it does well: Spotter AI Analyst, SpotterModel, SpotterViz and SpotterCode agents, Liveboards, embedded analytics, unlimited LLM tokens on Pro and Enterprise.
Pricing: Essentials from $25 per user per month for 5 to 50 users and up to 25 million rows. Pro from $50 per user per month, or a usage model from $0.10 per credit. Enterprise is custom. A Developer plan for embedding is free for one year.
Best for: Companies with a cloud warehouse whose business users want to ask questions directly and whose data team will govern the model. Its per-user entry price is the lowest of the enterprise BI tools here.
Qlik Cloud Analytics with Qlik Predict
Qlik Cloud Analytics is the SaaS version of Qlik Sense. Qlik Answers adds a conversational assistant over structured and unstructured data, and Qlik AutoML has been renamed Qlik Predict: no-code machine learning for classification, regression and time-series forecasting that lives inside the same environment.
What it does well: Associative engine for exploratory analysis, Qlik Answers, Qlik Predict with model explainability, alerting, data integration from SAP and other enterprise sources.
Pricing: Starter from $300 per month for 10 users and 10 GB, Standard from $825 per month, Premium from $2,750 per month, all billed annually, plus a custom Enterprise tier. Qlik Answers is included from Starter. Predict is included with limited capacity, with fuller predictive analytics on Premium or a standalone Predict plan.
Best for: Mid-size organisations that want BI and no-code predictive modelling from one vendor, and existing Qlik Sense customers moving to cloud.
Google Data Studio (formerly Looker Studio) and Looker
In April 2026 Google renamed Looker Studio back to Data Studio and positioned it for personal and ad hoc reporting, with Looker as the governed enterprise platform. Data Studio remains free, connects natively to Google Analytics, Ads, Sheets and BigQuery, and a Pro subscription adds team workspaces, project-level ownership and audit logging. Looker adds the LookML semantic layer and Gemini-based conversational analytics.
What it does well: Free dashboards over Google sources, Data Studio Pro workspaces and admin controls, Looker semantic modelling, Gemini in Looker for natural language questions, embedded analytics.
Pricing: Data Studio is free. Data Studio Pro is licensed per user, but Google did not show the figure on the pages we could load, so check the Google Cloud pricing page. Looker is sold as platform plus user licences through Google Cloud sales.
Best for: Small teams reporting on Google Analytics and Ads at no cost, and Google Cloud shops that need governed metrics through Looker.
Polymer
Polymer turns a CSV, a Google Sheet or a connected source such as Shopify, Facebook Ads or Salesforce into an interactive dashboard with AI-suggested charts and a chat box for questions.
What it does well: Auto-generated dashboards, conversational questions with visual answers, embedded charts, scheduled syncing on paid tiers, custom branding.
Pricing: No permanent free tier; there is a 7-day trial. Basic at $10 per month ($5 on annual billing), Starter at $50 per month ($25 annual), Pro at $100 per month ($50 annual) with hourly sync, Teams at $250 per month ($125 annual) with 3 editors. Enterprise is custom.
Best for: Agencies and small e-commerce businesses that want a client-ready dashboard from a spreadsheet without a BI rollout.
Browse all AI data analysis tools on AI Registry to compare features and pricing side by side.
Tier 3b. Notebooks and Modelling Platforms for Data Teams
This is the deep end of the third tier: tools for people who write SQL or Python, or who need to build and deploy predictive models with governance. The AI here assists a professional rather than replacing one.
Hex
A collaborative workspace where SQL, Python and no-code cells sit in one notebook, publish as interactive apps, and can be queried by business users through Threads, a conversational interface over governed context. The Hex agent drafts and edits notebook cells and explains results.
What it does well: SQL and Python cells with shared state, chart builder, published apps with scheduled runs, Threads for self-serve questions, Context Studio for governance, dbt and warehouse connections.
Pricing: Community is free with up to 5 published apps. Professional at $36 per editor per month. Team at $75 per editor per month with unlimited published apps, schedules and alerts. Enterprise is custom. A 14-day Team trial needs no card.
Best for: Data teams of a handful to a few dozen analysts who want one place to analyse, publish and answer questions. Viewers are not charged; editors are.
Deepnote
A cloud notebook in the Jupyter tradition with real-time collaboration, hosted compute and an AI agent that writes, edits and explains code across the notebook. It suits teams that prefer a familiar notebook over an app-building tool.
What it does well: Deepnote AI (completion, generation, explanation and an agent mode), SQL blocks against warehouses, scheduled notebooks, Git sync, published apps and dashboards, GPU machines on paid plans.
Pricing: Free for up to 3 editors and 5 projects with a small monthly AI allowance. Team at $39 per editor per month billed yearly, including monthly CPU and GPU credits. Enterprise is custom, with bring-your-own-LLM and single tenancy.
Best for: Data scientists and analysts who want Jupyter with collaboration and AI, especially teams with occasional GPU needs.
KNIME
An open-source visual workflow tool: you build data preparation, analysis and machine learning pipelines by connecting nodes rather than writing code. K-AI, its assistant, builds and explains workflows from a prompt. KNIME Hub and Business Hub add cloud execution, scheduling and deployment.
What it does well: More than 300 connectors, drag-and-drop modelling, K-AI workflow assistant, Python and R integration, data apps, enterprise deployment on Business Hub.
Pricing: KNIME Analytics Platform is free and open source, and a free Personal Hub account includes 20 K-AI interactions a month. Hub Pro from $19 per month with 500 K-AI interactions and runtime credits. Hub Team from $99 per month for 3 members, $49 per month for each extra. Business Hub is priced on request.
Best for: Analysts who want reproducible pipelines without code, regulated industries that need on-premises execution, and anyone who wants a serious tool at zero licence cost.
Dataiku
An enterprise platform covering data preparation, visual and code-based machine learning, MLOps and, increasingly, AI agents. Its AI Assistants generate preparation steps, SQL and flow plans from natural language, and LLM Mesh routes and governs calls to whichever model providers the organisation approves.
What it does well: Visual recipes and notebooks, AutoML, model monitoring, LLM Mesh, agent building, governance and audit, deployment on cloud or on-premises.
Pricing: Commercial editions are quoted by sales with no published prices. A free on-premises Free Edition and a 14-day cloud trial with no card are available, so you can evaluate before talking to sales.
Best for: Enterprises standardising analytics and machine learning on one governed platform, especially where business analysts and data scientists need to share projects.
DataRobot
DataRobot's AutoML heritage (testing many algorithms and picking the best) now sits inside what it calls an Enterprise AI Suite and Agent Workforce Platform: AutoML, a generative AI workbench, agent building, and monitoring for everything deployed.
What it does well: Automated feature engineering and model comparison, time-series forecasting, bias and drift monitoring, generative AI and agent tooling, MLOps deployment, low-code and code-first paths.
Pricing: No published prices; contracts are enterprise-sized and quoted by sales. A 30-day free trial with full platform access and no card is available.
Best for: Enterprise data science teams that need governed, monitored production models rather than one-off analysis.
Akkio
Akkio was a general no-code prediction tool and has refocused on media and advertising agencies. It now offers domain-specific agents for audience analysis, campaign performance and generative reporting, with Chat Explore and Chat Data Prep for conversational analysis.
What it does well: Agency-oriented analytics agents, chat over prepared data, automated client reporting, SaaS or embedded deployment, white-label options.
Pricing: Akkio publishes no self-serve prices. It sells a single enterprise tier with custom pricing through a sales call.
Best for: Media agencies with enough client volume to justify an enterprise contract. Small teams that remember the old monthly plans should look at Better Analyst or Qlik Predict instead.
Browse all AI data analysis tools on AI Registry to compare features and pricing side by side.
When ChatGPT or Claude Is Enough
The most common mistake we see is buying a dedicated analysis tool for work a general assistant already does. Both ChatGPT and Claude run real Python in a sandbox, so the code they write is the same pandas and matplotlib an analyst would use. The built-in analysis is enough when all of the following hold:
- 1.The data is a file. A CSV or workbook you can export once and upload. Claude caps files at 30 MB; OpenAI lists spreadsheets at roughly 50 MB. If the data lives in a warehouse or a SaaS tool and changes every week, the export step becomes the job.
- 2.You can check the answer. Ask one question you already know the answer to before you trust the rest. Ambiguous column names and mixed date formats are where these tools go wrong quietly.
- 3.Nobody else needs it live. A chart pasted into a deck is fine. A number that three managers will quote next quarter needs a shared definition and a refresh schedule, which is what the spreadsheet and BI tiers sell.
- 4.You are allowed to upload it. Check your organisation's policy on customer, payroll or health data before it goes into any consumer chat plan. Team and Enterprise plans on both vendors offer admin controls that the consumer plans do not.
If one of those fails, move up a tier. If the data lives in Sheets or Excel, start with Coefficient, Rows or Claude for Excel. If several teams share a warehouse, look at ThoughtSpot, Power BI or Hex. Only go to Dataiku, DataRobot or Qlik Predict if the question is "what will happen" rather than "what happened".
What to Check Before You Pay
- 1.Where the data comes from. Upload-only tools are fine for a file. Anything you will use monthly should connect to the source directly and refresh on a schedule.
- 2.What the AI limit actually counts. Rows meters AI tasks, Julius meters credits, Hex meters agent credits, Equals includes a monthly AI spend. Run a normal week on the free tier and see how far it gets you.
- 3.Who pays per seat. Hex charges editors, not viewers. Tableau charges viewers. ThoughtSpot Essentials has a minimum of 5 users. Model the real headcount, not the sticker price.
- 4.Whether the AI is included. Power BI Copilot needs a Fabric capacity on top of the per-user licence. Qlik Predict is capacity-limited below Premium. Read the footnotes on the pricing page.
- 5.Where the data goes. KNIME and Dataiku can run on your own infrastructure. Most others process data on their cloud. For regulated data this decides the shortlist before features do.
Use our comparison pages to line up data tools side by side on these criteria.
Which Tool Suits Which Team
Solo operators and small businesses
Use the assistant you already pay for. Claude if you want the output as an Excel file or you work inside Excel models; ChatGPT if your files sit in Google Drive. Add Google Data Studio at no cost when you need a dashboard over Google Analytics or Ads. Only reach for Julius or Better Analyst if you want a dedicated analysis chat and have compared their current prices with the general assistants.
Marketing, revenue and operations teams in spreadsheets
Coefficient if the priority is live CRM and warehouse data in the Google Sheet you already have. Rows if you are willing to move to a new spreadsheet to get AI, connectors and shareable reports in one place at a lower per-seat price. Polymer if the deliverable is a client-facing dashboard rather than a working sheet.
Finance teams at funded startups
Claude for Excel for model work inside the workbook. Equals if you want the data model, Slack reporting and an analyst bundled into one annual contract and can justify the price. Coefficient if you would rather keep Sheets and pay per user.
Companies with a warehouse and no BI tool yet
ThoughtSpot has the lowest per-user entry price of the enterprise tools and queries the warehouse in place. Power BI wins if you are a Microsoft 365 shop, as long as you budget for Fabric capacity to get Copilot. Qlik makes sense if no-code predictive modelling matters as much as dashboards.
Data teams and data scientists
Hex if you want to publish apps and let business users ask questions through Threads. Deepnote if the team prefers a plain notebook and needs occasional GPUs. KNIME if you need reproducible pipelines on your own hardware at no licence cost. For governed production machine learning, shortlist Dataiku and DataRobot, and use their free trials before a single sales call.
Whatever the tier, start on a free plan or trial with a dataset you already understand, ask a question you can verify, and only then compare features. Every tool in this guide offers some free access except Equals, Akkio and Polymer, which offers a 7-day trial.
What Changed Since the Last Edition
If you found this guide while searching for one of the products below, here is what happened to it.
- •Obviously AI. Now Zams, an enterprise platform for building workflow automation agents (Basic from $125 per month). It no longer sells the no-code prediction product this guide once covered, so it has been removed.
- •Formula Bot. Renamed Better Analyst and rebuilt around connected data sources and dashboards. Covered above in Tier 1.
- •Lido. No longer a spreadsheet. Lido now extracts structured data from invoices, statements and PDFs (Starter at $29 per month for 100 pages). Removed from this guide.
- •Qlik AutoML. Renamed Qlik Predict and sold inside Qlik Cloud Analytics. Covered in Tier 3a.
- •Akkio. Dropped its self-serve plans and now sells to media agencies only, with custom pricing.
- •MonkeyLearn. Its domain now redirects to Medallia, which acquired it in 2022. There is no standalone product or price list to point to, so it has been removed. For text classification, the chat analysts in Tier 1 and Better Analyst cover most small-team needs.
- •Looker Studio. Renamed back to Data Studio by Google in April 2026. Existing reports carried over without action.
- •Claude analysis tool. The JavaScript analysis tool was replaced in November 2025 by code execution with file creation, available on every plan.
Frequently Asked Questions
What are the best AI data analysis tools in 2026?
It depends on where your data lives. For a file on your laptop, the analysis built into ChatGPT or Claude covers most one-off questions. For teams in Google Sheets or Excel, Rows and Coefficient add AI and live data without a new tool. For governed reporting, Power BI with Fabric Copilot, Tableau, ThoughtSpot and Qlik add conversational layers to BI. For data teams, Hex and Deepnote are AI-assisted notebooks, and Dataiku, DataRobot and KNIME cover machine learning. Browse all data tools on AI Registry to compare.
Is ChatGPT or Claude enough for data analysis?
For a single file under about 30 to 50 MB, a question you can check, and no need to share a live report, yes. Both run Python in a sandbox and return charts and cleaned files. They stop being enough when the data lives in a warehouse or SaaS tool and changes weekly, when several people need the same numbers, or when metric definitions must stay consistent.
What is the cheapest AI data analysis tool?
Free with real limits: the Free plans of ChatGPT and Claude, Rows Free, Coefficient Free, Hex Community, Deepnote Free, Google Data Studio and the open-source KNIME Analytics Platform. Among paid entry plans checked in September 2026, Rows Plus is $8 per user per month, KNIME Hub Pro is $19 per month, Claude Pro and Better Analyst Starter are $20 per month, and ThoughtSpot Essentials starts at $25 per user per month.
What is the difference between BI tools and AI data analysis tools?
BI tools are built around a governed data model and dashboards that many people share; their AI answers questions against that model. Chat and spreadsheet tools work on whatever file or sheet you give them, with no shared definitions. The line is blurring as every BI vendor ships a conversational layer, but the practical difference is still governance and refresh, not the quality of the chat.
Find the Right Data Analysis Tool for Your Team
Browse the AI Registry directory to compare data analysis platforms on connectors, pricing and where your data is processed.
Sources
Vendor pages checked in September 2026. Prices change; treat these as the place to confirm before you buy.
- https://chatgpt.com/pricing/
- https://help.openai.com/en/articles/8437071-data-analysis-with-chatgpt
- https://claude.com/pricing
- https://support.claude.com/en/articles/12111783-create-and-edit-files-with-claude
- https://claude.com/docs/office-agents/excel
- https://claude.com/blog/analysis-tool
- https://julius.ai/pricing
- https://www.betteranalyst.com/pricing
- https://rows.com/pricing
- https://coefficient.io/pricing
- https://equals.com/pricing
- https://www.lido.app/
- https://www.microsoft.com/en-us/power-platform/products/power-bi/pricing
- https://learn.microsoft.com/en-us/fabric/fundamentals/copilot-fabric-overview
- https://azure.microsoft.com/en-us/pricing/details/microsoft-fabric/
- https://www.tableau.com/pricing
- https://www.thoughtspot.com/pricing
- https://www.qlik.com/us/pricing
- https://www.qlik.com/us/products/qlik-predict
- https://cloud.google.com/blog/products/data-analytics/looker-studio-is-data-studio
- https://docs.cloud.google.com/looker/docs/studio/pro-subscription-overview
- https://www.polymersearch.com/pricing
- https://hex.tech/pricing
- https://deepnote.com/pricing
- https://www.knime.com/pricing
- https://www.dataiku.com/product/get-started
- https://www.datarobot.com/trial/
- https://www.akkio.com/pricing
- https://www.zams.com/pricing
