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SAP Business Data Cloud
Your ERP holds the numbers the board asks about, and every extract loses what the fields mean. AI cannot reason over data nobody can explain — SAP Business Data Cloud brings SAP application data and other sources into one SaaS layer — modelled in Datasphere, worked on in SAP Databricks, and read by Analytics Cloud and Joule.
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How it’s rated
Full scoreboard ↓Quick answer
The SAP platform family
This page covers SAP Business Data Cloud — including SAP Datasphere and SAP Databricks inside it. The rest:
Quick facts
30-second orientation- Product
- SAP’s SaaS layer for SAP and non-SAP business data, built for analytics and AI
- Maker
- SAP SE, Walldorf, Germany; CEO Christian Klein
- Launched
- 13 February 2025, with SAP Databricks natively embedded
- Folds in
- SAP Datasphere, still listed on its own in SAP’s A–Z but positioned inside Business Data Cloud
- Catalogue place
- Data and analytics, beside Datasphere, Analytics Cloud and HANA Cloud, in SAP’s platform group
- Price
- No list price; SAP quotes each subscription
- Analysts
- SAP a Leader in Gartner’s Data Integration Tools MQ, December 2024; no product named in the title
- Recent deal
- SAP completed its Dremio acquisition on 6 July 2026
- India
- No India storage region published for Business Data Cloud; ask SAP and get it in the contract
- In India via
- TechBag — SAP-share sizing, licence overlap review, quote in INR with GST
Understand business data platforms before you buy one
Most product pages skip this. We start here — so you buy a capability, not a buzzword.
What is a business data platform?
One place where application data keeps its business meaning, ready for reports, planning and AI.
Custom SAP extracts and copied warehouses vs SAP Business Data Cloud — the honest table
What consolidation actually replaces, dimension by dimension.
| Dimension | Custom SAP extracts and copied warehouses | SAP Business Data Cloud |
|---|---|---|
| Getting SAP data out | Custom extracts per report, rebuilt after each upgrade | One SAP-run service connecting application data |
| What the fields mean | Re-documented by the data team in a wiki | Modelled in Datasphere alongside non-SAP sources |
| Data science on ERP data | Exports copied into a separate lakehouse | SAP Databricks, embedded since February 2025 |
| Reports and plans | Each dashboard tool with its own copy | Analytics Cloud reading the shared models |
| Feeding AI agents | Raw tables handed to a chatbot project | Joule grounded on the same data layer |
| What it is NOT | — | A price list, a general warehouse for non-SAP estates, or an India-hosted service by default |
The cheapest test is one SAP domain: model finance or procurement data, check it against the ERP, and count the extracts it retires.
The five pieces of the platform
Vendors love diagrams; buyers need to know what they’re actually operating. Here’s the whole platform, demystified.
Foundation
SAP sells Business Data Cloud as SaaS that connects mission-critical data from SAP applications and other sources, so analytics and AI start from one governed place.
Datasphere
Datasphere keeps its own A–Z entry, yet SAP now positions it inside Business Data Cloud; a 2026 SAP video presents it as the way to unify SAP and non-SAP data.
Databricks
At launch on 13 February 2025 SAP embedded SAP Databricks natively, giving data engineers and data scientists a Databricks workspace next to SAP-sourced data.
Consumers
SAP Analytics Cloud is now delivered inside it, SAP calls HANA Cloud its AI database, and Joule assistants and agents are grounded on it with the Business AI Platform.
One SAP-run SaaS layer — Datasphere models the data, SAP Databricks works on it, Analytics Cloud and Joule read it.
Six capabilities. Connect, model, apply.
SAP Business Data Cloud is SAP’s data layer: SAP data that keeps its business meaning, ready for analytics and AI.
SAP application data, connected
The service is built to bring data out of SAP’s own applications, such as ERP, HR and spend, without a custom extract per report.
Other sources sit beside it
SAP’s 2026 Datasphere video is titled “Unify SAP and Non-SAP Data”: outside sources are modelled next to SAP records, not apart.
Business models in one layer
Datasphere, folded into the service, is where SAP and non-SAP data is shaped into models that analysts and applications share.
A Databricks workspace inside
SAP Databricks was embedded at launch, so engineering and ML work runs on SAP-sourced data without a separate copy into another cloud.
Planning and BI on the same data
SAP Analytics Cloud is delivered inside Business Data Cloud, per SAP’s 2026 video, so dashboards and plans read the shared models.
Grounding for SAP’s AI agents
SAP pitches Joule assistants and agents as working from this data and the Business AI Platform, rather than from raw tables.
Watch SAP Business Data Cloud in action
The Sapphire 2026 feature round-up, Datasphere’s place inside Business Data Cloud, and the February 2025 launch demo, all from SAP’s official channel.
SAP Business Data Cloud: Top New Features | SAP Sapphire 2026 Highlights
What SAP added to Business Data Cloud, as shown at Sapphire in May 2026.
Unify SAP and Non-SAP Data | SAP Datasphere in SAP Business Data Cloud
Datasphere’s role inside Business Data Cloud: modelling SAP and outside data together.
Demo: SAP Business Data Cloud | SAP Business Unleashed
The demo from the February 2025 launch event, when SAP Databricks was announced inside it.
Want a live, India-context walkthrough for your environment?
Book a guided demo →Every analytics and AI project starts by pulling data out of SAP. Business Data Cloud is SAP’s way of keeping it in context.
Here’s what genuinely sets it apart — and exactly where it stops.
SAP data that keeps its business meaning
Exporting ERP tables strips out what the fields mean, and a data team rebuilds it by hand. Here the vendor that writes the applications connects their data, and Datasphere models it beside non-SAP sources, so finance and supply-chain figures arrive already shaped.
Databricks inside, not bolted on
SAP launched the product on 13 February 2025 with SAP Databricks natively embedded, so data scientists get a Databricks workspace on SAP-sourced data inside the SAP subscription, with no export to a separate lakehouse. Databricks sells its own platform too; compare both for non-SAP work.
The data layer SAP’s AI is built on
SAP pitches its suite as AI-run, with Joule assistants and agents grounded on Business Data Cloud and the SAP Business AI Platform. Analytics Cloud now runs inside it and HANA Cloud is billed as its AI database, so a business committing to Joule is, in practice, committing to this layer too.
Where it stops
No price is printed, so budgets wait on SAP’s quote. No India storage region is named for it, unlike S/4HANA Cloud or Ariba. Its pull is SAP data; a mostly non-SAP estate may suit Snowflake, BigQuery or Fabric better. Dremio closed in July 2026, with no documented product change yet.
The numbers behind the platform
What your SAP Business Data Cloud rollout looks like
List the questions SAP data must answer
Pick the first reports, plans or Joule use cases, and note which SAP and non-SAP sources each one draws on.
Get the scope and storage in writing
Ask SAP to quote the subscription and to state where the tenant is stored, then price it in INR with GST.
Connect one SAP domain
Bring in one area, such as finance or procurement, model it in Datasphere and check figures against the ERP.
Add an outside source and a model
Join one non-SAP feed to the same model and let the data science team run a first notebook in SAP Databricks.
Move reports and agents across
Point Analytics Cloud stories and the first Joule scenario at the shared models, and retire the old extracts.
The review scoreboard
Modelled on Gartner Peer Insights structure. *Counts and breakdowns are illustrative pending verified review collection.
Quick poll — what’s driving your evaluation?
Talk to an advisor“Our finance extracts used to need a consultant to explain every field. Here the SAP figures arrived with their meaning intact.”
“Our data scientists wanted Databricks; IT wanted SAP to own the data. Having SAP Databricks inside settled that argument.”
“We moved Analytics Cloud stories onto the shared models, and month-end variance reports stopped disagreeing with the ERP.”
“Non-SAP sources took longer than the SAP side. Plan real modelling time for the CRM and the plant historian feeds.”
“Ask where the tenant is stored before legal review. SAP had not named an Indian region, and our auditors asked first.”
“The quote took several rounds to scope. We needed a figure for the board long before SAP produced the final one.”
Where everyone sits — the grids
Analyst firms bury this view behind paywalls, and G2 retired its Grid. So here’s TechBag’s synthesis of the data platform market — tap any vendor to see why it sits where it does.
TechBag Data Platform Grid
Execution strength vs product vision — the classic market map, minus the paywall.
Launched February 2025; quoted by SAP, no list price.
Openness × Business Context
The grid nobody publishes — how open the platform is to any source and cloud vs how much business meaning the data carries in.
Deepest SAP business context; SAP-first sources.
Positions are TechBag’s illustrative synthesis of public review-platform data and vendor documentation — not a reproduction of any analyst graphic. Verify before relying on it.
SAP Business Data Cloud vs the data platform field
Set beside Salesforce Data 360, Snowflake, Databricks, Google BigQuery and Microsoft Fabric — on sources, engines, price, trials, AI, business meaning, exit and India.
| Dimension | SAP Business Data Cloud | Salesforce Data 360 | Snowflake | Databricks | Google BigQuery | Microsoft Fabric |
|---|---|---|---|---|---|---|
| What it is | SAP’s SaaS data layer | Customer data platform | Cloud data platform | Lakehouse platform | Serverless warehouse | SaaS analytics, OneLake |
| Deployment | SaaS, run by SAP | SaaS on Hyperforce | SaaS on three clouds | On AWS, Azure or GCP | Serverless on GCP | Capacity per region |
| Data sources | SAP first, plus others | CRM-led, plus warehouses | Whatever you load | Open lakehouse data | Whatever you load | One copy in OneLake |
| Engines inside | Datasphere + Databricks | CDP plus Informatica | Snowpark from Standard | DBU and DSU meters | Beside Vertex AI | Warehouse, Spark, BI |
| Pricing model | Quoted by SAP | Credits or profiles | Credits plus storage | Per-second DBUs | Per TiB or editions | Per CU-hour capacity |
| Published entry price | Not published | $500 per 100k credits | No rate on the page | No $/DBU shown | $6.25 per TiB | F2 ~$262 a month |
| Free trial or tier | None documented | Free starter allowance | 30 days, $400 credits | 14-day trial, Free Ed. | 1 TiB of queries free | No free tier shown |
| Included vs add-on | Several SAP parts | Quotas by tier | Features rise by tier | Pay for what you use | Storage billed apart | Viewers free from F64 |
| AI and agents | Grounds Joule agents | Grounds Agentforce | Code next to data | Data and AI workspace | Vertex AI, Gemini | Copilot in Fabric |
| Business meaning | SAP context built in | One customer profile | Governance by edition | Your team models it | Semantics are yours | Power BI models |
| India storage region | Not published | Hyperforce lists India | Mumbai and Pune | AWS Mumbai | Mumbai and Delhi | Central India priced |
| Buying and support | SAP quote, India teams | With the Salesforce deal | Self-serve or capacity | Card or contract | Google Cloud billing | Azure subscription |
| Lock-in and exit | SAP-shaped by design | Tied to Salesforce | Three clouds, one format | Multi-cloud contracts | Google Cloud only | Azure and Power BI |
| Best fit | SAP-heavy estates | Salesforce CRM shops | Cross-source warehousing | Engineering-led teams | Google Cloud analytics | Microsoft estates |
Which approach fits you?
Honest fit signals — because the fastest way to lose your trust is to pretend one product wins every scenario.
Choose SAP Business Data Cloud if…
- ✓Most of the data your analysts and AI projects need already lives in SAP ERP, HR or spend applications
- ✓You want a Databricks workspace for your data scientists without exporting SAP data into a separate platform
- ✓You are adopting Joule agents and Analytics Cloud and want them reading one SAP-run data layer
Compare alternatives if…
- ✓SAP is a minor source among many — Snowflake, BigQuery or Fabric are general platforms with published rates
- ✓Customer data and Agentforce are the priority — Salesforce Data 360 is built around the CRM profile
- ✓Data must be stored in India on day one — Snowflake, Databricks, BigQuery and Fabric list Indian regions
Do not expect…
- ✓A public rate card or a self-serve trial on sap.com for Business Data Cloud
- ✓An Indian storage region named for it in SAP’s hosting announcements so far
- ✓A settled view of how the Dremio acquisition, closed in July 2026, changes the product
TechBag has no data platform guide yet, so SAP Business Data Cloud sits outside the category guides. Browse all products to compare it with the rest of the catalogue. →
What does hand-maintaining SAP data extracts cost you?
Drag the sliders (SAP data extracts and pipelines you maintain; data-engineer hour cost). Estimates model time spent rebuilding, re-documenting and fixing SAP extracts after upgrades at an assumed 1.5 hours per extract a year, with 70% of it removed by one shared SAP data layer. Both figures are assumptions. Illustrative.
Loaded cost = salary + overheads per productive hour. Illustrative only — your TechBag quote models your actual environment and modules.
Three ways to consume it
SAP publishes no price for SAP Business Data Cloud, and figures on third-party sites are not SAP list prices. SAP quotes each subscription on scope and term, and existing Datasphere, BW or Analytics Cloud licences change what you need. TechBag fixes the first use case, then itemises SAP’s quote in INR with GST beside Snowflake, BigQuery or Fabric estimates.
SAP Business Data Cloud
Best for SAP-centred analytics and AI
- Quoted by SAP on scope and term
- Datasphere and SAP Databricks inside
- Storage location to confirm in writing
+ Platform add-ons
Best for a broader rollout
- Scoped to your estate
- Add-on modules as needed
- Phased, right-sized deployment
With existing SAP data licences
Best when Datasphere or BW is already owned
- Ask how current licences carry over
- Analytics Cloud runs inside it
- One SAP account team for data and AI
Buy it for less — TechBag pricing beats list
Whatever the list prices above, TechBag negotiates a significantly better deal — with GST-compliant INR invoicing and local support. Ask us for your discounted quote.
Get an India-ready quote
Tell us your requirements and current tools — we’ll model it against what you spend today.
The 8 questions to ask every vendor
Take this into your next vendor call — including ours.
What share of the data your analysts need comes from SAP applications rather than CRM, plant or web sources?
Do you already license SAP Datasphere or BW, and how will SAP treat that spend in the new subscription?
Do you already run your own Databricks workspace, and which workloads belong there versus in SAP Databricks?
Does SAP’s quote state scope, term, capacity and every included component, itemised in INR with GST?
Where will SAP store your tenant, and will that location be written into the contract before you sign?
Which Joule or Analytics Cloud use cases will read this data first, and who owns each one?
Which outside feeds must be modelled next to SAP data, and who builds and keeps those models?
Can models and data be exported in open formats if your platform choice changes in three years?
Questions buyers ask
Ready to evaluate SAP Business Data Cloud?
Size how much of your data comes from SAP first, or let a TechBag advisor scope the first use case and get SAP’s quote itemised in INR.
Stats, ratings, review counts and pricing are illustrative and sourced from public materials; verify before purchase.