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Querri vs Claude

Claude is one of the best AI models for analysis. Querri gives it your business to work from.

Use both. Querri connects to Claude in one click.

Claude can read your files, reach your apps and build a live dashboard from a sentence. Accurate answers on business data also need someone to decide what your numbers mean, and keep that current. Querri is the question-first data platform: it starts from the questions your business asks and builds what's needed to answer them, then answers inside Claude too.

Time, cost and control

Keep Claude, and give it the numbers your business agrees on

Claude is a strong assistant that many teams already pay for. Querri is the shared understanding of your business that it answers from. Here's what that difference means for the business.

  1. Right answers without a data team

    Anthropic gets about 95% accuracy on its own business questions with a semantic layer, skill files and evals its data team maintains. In Querri, the people who know the business teach it in plain language.

  2. A bill you can plan, with no surprises

    A Claude seat is inexpensive; the cost is the people who keep its context current, and the tokens every rerun uses. Querri is one predictable bill: a monthly credit allowance tied to the work your team does, alerts before you reach it, and no automatic overage charges.

  3. The same understanding for everyone

    When two people ask about revenue, the same definition applies, whether they ask in Querri, on a dashboard or in Claude.

  4. Secure, auditable, nothing to rip out

    SOC 2 Type II, HIPAA and ISO 27001:2022, and your data never trains a model. Every number shows its query, and Claude stays where your team already works.

Where each one fits

Most teams should use both. Here's what each one is for.

We'd rather you pick the right tool than pick us for the wrong reason. Claude on its own is the right answer for plenty of work.

Claude on its own is enough when

  • You want a general assistant for writing, research, code and analysis, not only data questions.
  • Your questions are one-off: a spreadsheet to explore, a file to summarize, a quick chart.
  • You have a data team that maintains a warehouse, a semantic layer, skill files and evals, the way Anthropic's own team does.
  • Your analysts work in code and want Claude Code writing SQL and Python against the warehouse.
  • Your data already sits in one well-modeled warehouse, or in one system with a strong connector.

Add Querri when

  • The same KPI has to mean the same thing to every person and every AI assistant.
  • Your data is spread across CRM, accounting, payments and spreadsheets, with no warehouse in between.
  • The people who know what the numbers mean aren't engineers, and shouldn't have to write skill files to say so.
  • Dashboards and reports go to people without a Claude seat, or to your own customers.
  • You want Claude to stay the front end, answering from your company's definitions.

Feature by feature

The detailed comparison

Every row says where each one is stronger. Where Claude wins, we say so. Facts are current as of October 2026 and linked in the sources.

What matters Querri Claude Stronger
Cost and people
How you pay One predictable plan for the whole organization, with a shared monthly credit allowance. A credit is a unit of business work, like a question answered, so usage is easy to plan. AI and unlimited dashboard viewers are included. See plans. Per seat: Pro $20 a month ($17 annually), Max from $100, Team Standard $25 ($20 annually) and Premium $125 ($100). Enterprise is $20 a seat plus usage at API rates. Cheaper per person, and often already paid for. Claude
When you use more than you planned Usage alerts at 80% and over the plan, monthly limits per person, and no automatic overage charges. Limits reset on a rolling five-hour window, with weekly limits on paid plans. Team can add extra usage; Enterprise admins set user and organization spend limits. Even
Who runs it A data owner who knows the business, like an ops, RevOps or finance lead. Each person, for their own questions. For trusted company numbers, a data team that keeps a semantic layer, skill files and evals current. Querri
Time to the first answer Connect a source or upload a file and ask the same day. The Library grows as people ask. Minutes. Drop in a file or connect an app and ask. Hard to beat for a first look. Claude
Getting your data in
Business systems 125+ connectors, including HubSpot, Salesforce, QuickBooks, NetSuite, Stripe and Shopify. The Connector Agent sets up new REST sources. 963 connectors in Claude's directory, plus any remote MCP server you add. Each reads its own system at question time, under each person's login. Even
Questions across systems Every source syncs into one Library, so one question can join CRM, billing and product usage without a warehouse project. Claude can call several connectors in one chat and combine what comes back. Claude Dashboards query a warehouse or a connected app. Querri
Spreadsheets and files CSV, Excel, JSON or Parquet up to 2 GB. Querri finds the table inside a messy Excel sheet and remembers where it was next month. Up to 20 files a chat at 500 MB each, analyzed with code. Claude in Excel works inside the workbook you have open. Even
Live data Scheduled syncs, hourly to monthly. Querri answers from its synced copy and doesn't query live. Connectors read live when you ask, and Claude Dashboards keep charts current as the data changes. Claude
Business knowledge
Business definitions The Library: say what a number means once, in plain language, and every answer, dashboard and AI assistant uses it. KPIs are defined once. Projects, memory and skills: instructions someone writes. On Team and Enterprise, owners can provision skills to everyone. Querri
Keeping it current Definitions live with the data in the Library, so a change is made once and every answer after it uses the change. Anthropic's data team: skill docs are "wrong within weeks" without active maintenance, so about 90% of its data-model changes now include a skill change. Querri
Data cleaning Automatic data cleaning: the Data Audit runs more than 180 checks on every table as it arrives, and the Janitor cleans a table with you. Every fix is a view. Claude cleans a file with code when you ask, in that chat. Querri
When a question is ambiguous Querri tells you when a question has more than one reasonable reading. It flagged the other reading 73% of the time, versus 12% for Claude Code. Claude answers from the context it has: your prompt, the project, memory and any skills. Querri
AI and answers
Reasoning, writing and code Built for questions about your business data, not as a general assistant. One of the strongest models for analysis, code, writing and research, with Claude Code for builders. Claude
Checking its work Checks the data for gaps and duplicates first, works the answer out two independent ways, and checks every number in the summary. On ambiguous benchmark questions, measured against the source data: 97% right, versus 80% for Claude Code. Shows the code it ran, and on a dashboard you can click any number to see its query. Querri
Asking the same question again A saved answer is reused, not redone: 4.6x faster than Claude Code, with 2.8x fewer tokens, at 6.1x lower cost. A chat answer is worked out fresh each time, and each rerun uses tokens. Querri
Proactive insights Nightly insights in your Inbox, and Monitors that show which store, rep or region moved. Nothing changes without your OK. Scheduled tasks run the checks you set up, even with no device online. Querri
MCP and assistants Connect Claude or ChatGPT on any plan. Answers, dashboards and charts appear in the chat, under each person's access. Claude is the assistant people already use, and the MCP client: it connects to Querri, warehouses and hundreds of other tools. Even
Dashboards and reports
Building dashboards Build or change a dashboard by asking, or paste a screenshot of one you use today and get it back on your own data. Claude Dashboards, in beta since October 8, 2026: ask for one over a warehouse or connected app, and it stays current. Built for "quick, exploratory questions." Even
Who can view Unlimited dashboard viewers on every plan, including Free. Viewers don't need access to your source systems. Shared inside the organization, or outside if an owner allows. "Each viewer's own connections run its queries," so viewers see what their own access allows. Querri
Scheduled reports, Excel, decks Scheduled projects, formatted Excel workbooks and Wrapped slide decks, delivered on a schedule. Scheduled tasks, Claude in Excel and PowerPoint, and Slides and Docs built in chat. Even
Analytics in your own product White label and embed on Scale. Each customer sees only their rows. Dashboards live in Claude and are shared as Claude links. No embed or white label. Querri
Security and governance
Certifications SOC 2 Type II, HIPAA and ISO 27001:2022. SOC 2 Type II, ISO 27001:2022, ISO/IEC 42001:2023, and a HIPAA-ready setup on Enterprise. Even
Training on your data It learns your business. It never trains a model on your data. Each organization has its own database and storage. Team and Enterprise: no model training on your content by default, and Enterprise adds custom retention controls. On Free, Pro and Max, training is your choice. Even
Identity and access Workspaces, roles and an audit log, with SSO and row-level access policies on Scale, applying in chat, dashboards and MCP alike. SSO and admin connector controls on Team; SCIM, role-based permissions, audit logs and IP allowlisting on Enterprise. Even

Claude prices are US list from claude.com/pricing as of October 15, 2026, before tax. Anthropic says prices and usage limits may change at its discretion. The Claude Code comparisons are Querri's own benchmark runs.

Pricing

The seat is the cheap part. Keeping the answers right is the work.

Claude's seat prices are fair, and many teams already pay them. On business data, the bigger cost is the knowledge around the model: definitions, skill files and evals someone keeps current, plus the tokens each fresh answer uses.

How Claude is billed

  • Pro is $20 a month ($17 billed annually). Max starts at $100, with 5x or 20x Pro's usage.
  • Team Standard is $25 a seat ($20 annually) and Premium $125 ($100), for 2 to 150 seats, with up to $500 a month in pooled API credits.
  • Enterprise is $20 a seat billed annually, with a 20-seat minimum, plus usage at API rates. Admins set user and organization spend limits.
  • Usage limits reset on a rolling five-hour window, paid plans add weekly limits, and Anthropic may add other caps "at our discretion."
  • Claude Dashboards count toward your plan's usage. A warehouse it queries bills its own compute.
  • Every rerun is worked out fresh. Anthropic's own review step added 6% accuracy "at the cost of 32% more tokens and 72% higher latency."

When per-seat pricing is the better deal

If your team mostly needs a strong assistant for writing, research, code and one-off analysis, a Claude seat is excellent value, and you may already have it. If you also have a data team that keeps a semantic layer, skill files and evals current, Anthropic's own results show how far that can go: about 95% accuracy on its business questions. If that's your team, the guides below are where to start.

What it takes to keep answers right

  • 21% without context, 95% with it

    Anthropic's data team, on its internal evals: "Without skills, Claude's ability to answer analytics questions accurately didn't exceed 21%." With a semantic layer, skills and evals, accuracy was consistently above 95%. The model is fine. The business knowledge is the work.

    Anthropic (vendor), Jun 2026
  • From 95% to 65% in a month

    "Skill docs describe a data model that changes daily, so without active maintenance they're wrong within weeks." The team watched accuracy "drift from ~95% at launch to ~65% over a month" before it made upkeep an engineering job.

    Anthropic (vendor), Jun 2026
  • Upkeep became part of every change

    At Anthropic, "a code-review hook flags any reporting-model change that doesn't touch a skill file," and "roughly 90% of our data-model PRs now include a skill change." That's what keeping Claude accurate looks like with a data team.

    Anthropic (vendor), Jun 2026
  • Checking costs tokens

    An adversarial review step improved accuracy by 6%, "but at the cost of 32% more tokens and 72% higher latency." Each fresh answer pays for its own checking.

    Anthropic (vendor), Jun 2026
  • Access is a design choice you own

    On Anthropic's Slack analytics agent: "everyone who can mention the bot has the bot's data access." Anthropic scopes the account to governed tables and recommends taking this seriously, "as it's easy to get wrong and hard to undo."

    Anthropic (vendor), Aug 2026
  • Revenue means what the question resolved to

    A BI vendor on dashboards built in AI chat: "Without a semantic layer, 'revenue' means whatever the question resolved to that day."

    Toucan (sells embedded analytics), Sep 2026

How Querri keeps the bill predictable

  • One bill, no surprises. One plan for the whole organization, with the AI, storage and unlimited dashboard viewers included. See plans and pricing.
  • One simple credit. A credit is a unit of business work, like answering a question or syncing a source, so usage is easy to understand and easy to plan for.
  • Unlimited dashboard viewers on every plan. Viewing, uploads, exports and the Library never cost credits.
  • Usage alerts at 80% of the plan, when it's over and on a spike, plus a monthly limit for any person.
  • No automatic overage charges. We tell you as you approach your limit, and you decide what happens next.
  • Saved answers aren't redone. Reusing one was 4.6x faster than Claude Code, with 2.8x fewer tokens, at 6.1x lower cost.

Total cost

What it takes to get a trusted answer

A first answer from Claude takes minutes. An answer the whole company can rely on takes the work Anthropic's own data team describes. Here's that path, next to Querri.

Layer Claude on its own Querri
Seats Claude Team for 50 people: about $12,000 to $15,000 a year One plan for the organization, with unlimited dashboard viewers
Data A connector for each system, and a warehouse for questions across them 125+ connectors and file uploads, synced into one Library
Cleaning Claude cleans data with code each time someone asks Automatic data cleaning, with every fix saved as a view
Definitions Skill files and a semantic layer, written by someone who knows the data model The Library, taught in plain language
Upkeep Evals, and a skill change with most data-model changes Definitions live with the data, changed once
Dashboards Claude Dashboards (beta) on plan usage, shared as Claude links Dashboards, reports and Excel, with unlimited viewers
People An analytics engineer or data team to maintain it A data owner who knows the business
Time Minutes for a one-off answer; weeks or more for shared, trusted definitions The same day, and the Library grows as people ask
Per year, roughly Seats are the small line. The people who keep the context current are the big one. One predictable plan with AI, storage, dashboards and unlimited viewers included, and your Claude seats keep working. See plans

The seat figure is our arithmetic from Claude's published Team prices, not a quote. People costs depend on your team; if a data team already maintains Claude's context, that's a cost you've already chosen.

Using both

How Claude and Querri work together

Plenty of teams will run both, and we'd recommend it. Keep Claude as the place people write, research and ask. Connect Querri in one click, and Claude answers business questions from Querri's Library, under each person's own access.

Keep in Claude

  • Writing, research and code
  • A quick look at a one-off file
  • Asking questions where you already work
  • Claude in Excel, PowerPoint and Slack

Do in Querri

  • Definitions the business owns, in plain language
  • Data from every system, cleaned and joined
  • Dashboards for everyone, with unlimited viewers
  • Nightly insights and scheduled reports

How the connection works

  1. In Querri, Connect to Claude opens Claude with the connector filled in, and Add for the whole organization installs it across a Claude Team or Enterprise account.

  2. Claude signs in as the person, so every answer follows that person's access in Querri, including row-level access policies.

  3. Questions go to the same Librarian the Querri app uses, so Claude answers from your definitions, and dashboards, charts and tables appear as cards in the chat.

  4. MCP access is on every plan, including Free, and your data is never used to train any model.

FAQ

Questions people ask when comparing Querri and Claude

Is Querri an alternative to Claude?

Not really, and we don't suggest dropping Claude. Claude is a general assistant for writing, research, code and analysis. Querri is the shared understanding of your business data: connections, cleaning, definitions, dashboards and nightly insights. Most teams use both, with Querri connected inside Claude.

How much does Claude cost for a business?

Claude Team is $25 a seat a month, or $20 billed annually, for 2 to 150 seats; Premium seats with 5x the usage are $125, or $100 annually. Enterprise is $20 a seat billed annually, with a 20-seat minimum, plus usage at API rates. For 50 people on Team, that's about $12,000 to $15,000 a year in seats (our arithmetic). Querri is one predictable plan for the organization; see current plans.

Can Claude analyze my business data?

Yes. Claude can analyze uploaded files with code, query connected apps and warehouses, and build dashboards. Accuracy on company-wide questions depends on the business context it has. Anthropic's own data team found Claude "didn't exceed 21%" on its internal analytics evals without skills, and was consistently above 95% with a maintained semantic layer, skills and evals.

Can Claude build dashboards?

Yes. Claude Dashboards, in beta since October 8, 2026 on Pro, Max, Team and Enterprise, builds live dashboards over a warehouse or a connected app, and you can click any number to see its query. Anthropic positions it for quick, exploratory questions. Querri dashboards are built by asking or from a screenshot, run on your Library's definitions and have unlimited viewers.

Why does Claude give different numbers to different people?

Usually because the question leaves room. If revenue, an active customer or a fiscal quarter isn't defined somewhere Claude reads, each chat makes its own reasonable choice. And on a shared Claude dashboard, each viewer's own connections run the queries, so access can differ. Querri keeps one definition in the Library and tells you when a question has more than one reasonable reading.

What are Claude skills, and do I need them for data analysis?

Skills are folders of instructions, scripts and resources that Claude loads for specialized tasks, and they're available on every plan with code execution turned on. For analytics, Anthropic's team uses them to encode its data model and conventions, and says they need active maintenance because the data model keeps changing. In Querri, the same knowledge lives in the Library and is taught by saying it.

Does Claude train on my company's data?

On Team and Enterprise, Anthropic says there's no model training on your content by default, and Enterprise adds custom retention controls. On Free, Pro and Max, training is your choice in settings. Querri never trains a model on your data, on any plan.

How do I connect Querri to Claude?

In Querri, choose Connect to Claude, which opens Claude with the connector filled in, or Add for the whole organization to install it across a Claude Team or Enterprise account. Claude then answers business questions from your Library, under each person's own access, and shows dashboards and charts in the chat. It works on every Querri plan, including Free.

Is Claude or Querri better for a small business?

For general work and one-off questions about a spreadsheet, a Claude Pro or Team seat is great value. When the same numbers need to mean the same thing every week across QuickBooks, your CRM and your payment system, and nobody on the team writes SQL, Querri does that work. Many small businesses run both, starting on Querri's free plan.

Can Claude connect to my CRM, accounting system or warehouse?

Yes. Claude's directory lists 963 connectors, and Claude Dashboards connect to warehouses such as Snowflake, BigQuery, Databricks, Redshift and ClickHouse. Each connector reads its own system when you ask. Querri syncs 125+ sources into one Library on a schedule, so one question can span them.

Claude Code or Querri for analytics?

Claude Code is excellent for analysts and engineers who want to write SQL and Python against a warehouse. In our benchmark, measured against the source data, Querri got 97% of ambiguous questions right versus 80% for Claude Code, and reusing a saved answer was 4.6x faster, with 2.8x fewer tokens, at 6.1x lower cost than Claude Code. Querri is built for people who want the answer without writing the code.

Do people need a Claude seat to see a Querri dashboard?

No. Querri has unlimited dashboard viewers on every plan, including Free, and viewers don't need access to your source systems. People who do use Claude can see the same dashboards inside their chat through Querri's MCP connection.

Can I try Querri on my own data first?

Yes. You can start on the free plan with no credit card, connect a source and ask. See plans for what each includes. Or bring your hardest question to a 20-minute walkthrough, and ask it in Querri and in Claude side by side.

Keep Claude. Give it your business.

Connect a system or drop in a spreadsheet, tell Querri what your numbers mean, then ask the same question in Querri and in Claude. If Claude on its own is the better fit, we'll tell you.