The head-to-head
SQOR vs. SAP Analytics Cloud
SAP Analytics Cloud licenses even the viewers. SQOR prices the answers.
Its own users say it plainly: even viewing needs a license, the price arrives by sales conversation, and access gets rationed because of the expense. SQOR is the opposite shape: one readable price for the answer itself, computed from your sources, SAP included, reconciled to your books, with the cause, the forecast, and the move.
The verdict: SAP Analytics Cloud is the old category, run the SAP way: the native analytics and planning layer of the SAP estate, licensed by the seat, priced by the sales call. Read its own users, verbatim: "the product is expensive"; "the platform is about 50% more expensive than Power BI"; "even for just viewing, a license is needed"; "the cost for the planning functionality is high and can be a barrier to entry"; and the one that gives the game away, an organization "leading to restrictions on granting access to many users" because of the expense. When viewing costs money, companies ration the very thing analytics exists to spread: answers. Users report a BI license around $30 per user per month with a 25-user minimum, and overall costs reaching $120 to $150 per user per month. SQOR.ai is the opposite shape: an autonomous engine that computes every answer from your data, SAP sources included, reconciles it to your books, blocks the AI from inventing figures, and serves the cause, the forecast, and a scored course of action to anyone who asks, at one readable per-seat price with the warehouse included. Nobody rations a question.
One honest carve-out: if deep, native SAP planning and consolidation is your requirement, SAP Analytics Cloud is genuinely their category, and inside an all-SAP planning workflow it does what nothing else does natively. This page is for the decision-analytics job around it: the questions the whole company needs answered, at a price that does not make access a privilege.
Their users report the BI license starting near $30 a user a month, and even viewing needs one.
The per-user monthly spread their users report, from the basic BI license to fully loaded, with a 25-user minimum purchase and planning priced high.
Their users report a 25-seat minimum purchase, and access restricted because of the expense.
The comparison
They license the viewers. SQOR answers the askers.
The real question is what the meter runs on. On SAP Analytics Cloud, it runs on seats, viewers included, so expense turns into rationing. With SQOR.ai, an autonomous engine runs machine learning across ALL of your data, every key performance indicator ("KPI"), every day, defining, computing, and explaining the metrics itself, extracting the causes, the predictions, and a military-grade course-of-action engine's recommendations, with the warehouse included. Answers are the point, so answers are what the price buys.
| SQOR.aiAnswers, unrationed | SAP Analytics CloudSeats, viewers included | |
|---|---|---|
| Who gets access | Everyone: asking more questions costs nothing more, so access never gets rationed | Licensed users only, viewers included; their users report access restricted over expense |
| Who does the analysis | The engine itself: every KPI generated, computed, and monitored autonomously | Your BI and planning specialists, building stories and models on the SAP estate |
| What you get back | The number, the why, the forecast, and a scored course of action, in plain English | Dashboards, stories, and planning models your team builds and interprets |
| Who vouches for the number | The math: every figure computed from source, reconciled to your books, as-of dated. The AI is blocked from inventing figures | The content author and the SAP semantic layer; no answer-level reconciliation to your books |
| The price | One readable per-seat price, warehouse included | By sales conversation; users report $30 per user per month at the floor, $120 to $150 fully loaded, 25-user minimum |
| Time to live | Two weeks to answers on your own data; the entire day-one ask is read-only access | An SAP-scale rollout, with SAP-skilled specialists building the content first |
| What is retained | Read-only, and Zero Data Retention standard: no LLM retains your data, up to fully sovereign | Your data in the SAP cloud estate, per your SAP agreements |
The fully-loaded math
The license was never the price.
SAP's price arrives by sales conversation, so we walk the floor its own users report: a $30-per-user-per-month BI license, charged for all 25 users, while the same users report fully loaded costs reaching four to five times that. Here is the deployment walked line by line, every input labeled. Attack it, or bring your own quote and we will walk yours.
The SAP Analytics Cloud stack, fully loaded
25 users at the very floor their own users report
| The platform: the $30-per-user-per-month BI license their users report, charged at the floor for all 25 users; the same users report overall costs reaching $120 to $150 per user per month REPORTED | $9,000/yr |
| The SAP backend the analytics sit on: Datasphere or BW consumption, billed on your SAP agreements, plus planning licenses their users call a barrier STRUCTURAL | unpriced |
| The data team SQOR removes entirely: one data engineer ($130,000, low end of 2026 surveys) and one analyst ($95,000) who build and maintain what the tool needs ESTIMATE | $225,000/yr |
| Fully-loaded total | ≈ $234,000+/yr |
SQOR.ai, fully loaded
25 seats, everything included
| 25 seats at $163.20 per seat per month, all-in, at typical usage of 15 questions a day (about 450 a month) | $48,960/yr |
| The warehouse: Google Cloud and BigQuery included | $0 |
| Required specialists: none. The engine computes, explains, forecasts, and recommends | $0 |
| Fully-loaded total | $48,960/yr |
on the recurring cost. And the cost gap is the smaller story, because even fully loaded, SAP Analytics Cloud surfaces a fraction of the signal in your data while SQOR reads all of it. You pay less and see more. A junior data engineer or analyst now commands $96,250 to $138,500 out of a strong program, which lands a first hire near $120,000 fully loaded with benefits and payroll taxes. SQOR runs 25 people, everything included, for $48,960, about $160 each a month: less than half the cost of that single hire. And SAP Analytics Cloud still forces the data team SQOR removes, so its stack runs about $234,000, more than four times the entire SQOR bill. Your numbers will differ; bring your quote and we will walk yours.
Then there is time.
SQOR.ai is live on your own data in two weeks. An SAP analytics rollout moves at SAP-estate speed, with specialists building the stories and models first. Industry research on enterprise analytics and AI projects puts typical pilot-to-production timelines at a quarter to three quarters.
Delay has a price tag.
Money has a time value, and so do answers. Every month between signing and answering is a month of fully-loaded spend with zero decisions improved: on the stack above, one quarter of building burns roughly $58,000 before the first trusted answer arrives. The answer that shows up after the decision was worth nothing.
And the people? Nobody has to decide who is worth a viewer license. One person gets the output of a twenty-person data team, and the intern can ask the same question the CFO can.
Bring us any comparable quote and we will beat it.
Applies to a written quote for a comparable offering: autonomous decision intelligence with the data warehouse included and no required specialist staffing. One quote per organization. SQOR.ai determines comparability in good faith and will explain its determination.
Gartner® Hype Cycle 2026, twice
Named in two 2026 Gartner Hype Cycles.
SQOR.ai was named in the Hype Cycle for Data Science and Machine Learning, under the category Gartner calls Vibe Analytics and rates Transformational, its highest benefit rating,1 and again in the Hype Cycle for Analytics and Business Intelligence.2 Vibe Analytics, in one line: the dashboard era ends and asking becomes the interface.
Their users said it first
Don't take our word for it. Take theirs.
Real user reports from public review platforms. These are end-user opinions, not Gartner research, and every price below is a user report, not SAP's published price; SAP's pricing arrives by sales conversation.
Even for just viewing, a license is needed since an S-user ID or P-user ID would be created.
The organization faced challenges due to its perceived expense, leading to restrictions on granting access to many users.
The platform is about 50% more expensive than Power BI.
The cost for the planning functionality is high and can be a barrier to entry.
Users report a $30-per-user-per-month BI license at the floor, a 25-user minimum, and overall costs reaching $120 to $150 per user per month.
When viewing costs money, access gets rationed, and rationed analytics stops spreading. That is the meter working exactly as designed.
Meet Esa
Every team deserves a JARVIS.
“Tony Stark is a witty guy with a funny mustache, right up until his AI, JARVIS, turns him into Iron Man. That is what we watch happen at the companies where Esa is deployed, and what we intend for every one.”
Esa is the intelligence layer inside SQOR.ai. She answers in plain English, watches every metric nightly, and tells you what moved, what is coming, and what to do about it, giving the team you already have the reach of a twenty-person data function.
Ask. Understand. Act.
Why the math works
Built so the meter reads zero.
The warehouse is included
Google Cloud and BigQuery are part of the subscription. The single largest infrastructure line item in the old category is zero here.
Your Google commit works here
SQOR.ai is sold through Google Cloud Marketplace. If you carry a Google Cloud committed-spend agreement, up to 25% of your commit credits can be applied to SQOR.ai subscriptions.
No required specialists
No dashboards to build, no semantic model to hand-code, no analyst queue. The engine does the analysis; your team does the deciding.
The math is the authority
Machine learning computes every number from your data and reconciles it to your books. The AI explains the number and is blocked from inventing it.
Beside your books, never instead of them
SQOR is operational intelligence that sits beside your audited source of truth. It reads and reconciles; your system of record stays the system of record, and nothing here replaces your audited financials.
Zero Data Retention, standard
SQOR Shield ships with every deployment: no large language model ("LLM") retains your data, and nothing about your business ever trains one. Your prompts, payloads, and answers are processed in the moment and stored nowhere outside of SQOR. Ask any vendor on this page what their LLM keeps.
Google-grade security underneath
SQOR.ai is built entirely on Google Cloud, so your data is protected by the same infrastructure Google publishes its security protocols and certifications for: encryption at rest and in transit by default, and the compliance regime of one of the world's most audited clouds. Google's encryption-at-rest documentation →
Switching
Leaving the old category takes a question, not a quarter.
Running SAP Analytics Cloud today? Keep it running while you compare; this is not a rip-out, and your SAP estate is untouched. SQOR.ai connects read-only to the systems you already run, SAP sources included, your data stays exactly where it is, and your metric definitions are captured during the proof of value ("POV") so the answers speak your company's language from day one.
01
Connect
Plug into the stack you already run, SAP included. Read-only by design, no infrastructure, no migration, no user identities to provision.
02
Ask
Type your first question in plain English. No story to build, no model to publish, no license tier to check first.
03
Act
Get the answer, reconciled to your books, with its source and as-of date. Take it to the board. Two weeks, counted from the day we get read-only access, which is the entire day-one ask, with a POV priced to be a no-brainer.
Questions buyers ask
SQOR.ai vs SAP Analytics Cloud, asked plainly.
Is SQOR.ai an SAP Analytics Cloud alternative?
What does SAP Analytics Cloud actually cost?
Does everyone need a license just to view?
Can SQOR.ai read our SAP data?
Does SQOR.ai require a cloud data warehouse?
Has SQOR.ai been recognized by Gartner?
Stop rationing answers. Start spreading them.
Bring the question your team rations viewer licenses over. We'll answer it live, reconciled to your books, for everyone who needs it.
Book a demo