In a large enterprise, you have your business data coming from different applications and systems, stored in different places and various formats. It's like ingredients in the kitchen that are kept in different cupboards, fridges, boxes, and bags. From all those ingredients (data), you might cook something really great (like insights, forecasts, or AI models for even deeper insights and more precise predictions) – but to do that, you need to gather all those ingredients together, clean them up, and organize them in one place.
SAP Business Data Cloud (SAP BDC) and SAP Databricks, as its component, help you do just that – it brings together all your data, from SAP and non-SAP systems, into a single, organized "kitchen". And then, with all that properly prepared data, you can “cook” insights and forecasts in SAP Databricks – easily, securely, and in real time.
What is SAP Databricks
- SAP Databricks is a joint solution by SAP and Databricks. It combines SAP data and Databricks' data lakehouse capabilities. As complicated as it sounds, the meaning is clear: SAP Databricks helps you turn raw, fragmented data into actionable insights – fast, securely, and at scale.
- With SAP BDC, you can unify your SAP and non-SAP data in a single environment – and within that environment, you can make your data truly work for you. With SAP Databricks, you can use all that unified data from multiple sources for real-time analytics, advanced reporting, and even build your custom AI and machine learning algorithms for AI-powered decision-making. You got it right: with SAP Databricks, AI is no longer a black box. Instead, with your data engineers, you can create the AI algorithms that would work for you, use them on your real-life data (coming from SAP and non-SAP systems), get the results in your data warehouse – and use them for further reporting and planning. And there's even more: the data is not duplicated in SAP Databricks. It stays within SAP Datasphere, as a part of SAP Business Data Cloud.
- In short, the solution helps you bring together all your enterprise data – structured, unstructured, and streaming – and use it to power analytics, dashboards, AI models, and more. It breaks down data silos, reduces data duplication, and gives your teams access to clean, reliable data they can actually use – whether they're working in Python, SQL, or SAP Analytics Cloud.
Key Benefits of SAP DataBricks
Create reliable custom AI models
Build, train, and deploy custom machine learning models, prepared and trained using your own scripts and with your own rules (prepared by your data scientists) – all based on high-quality, trusted enterprise data collected from different sources.
Real-time insights
Use fresh, synchronized data to power dashboards, decisions, and predictions (including those based on AI algorithms) — no more batch delays or stale reports.
Scalable performance
Whether you're processing millions or billions of rows, SAP Databricks is designed to scale without slowing down.
Flexibility & openness
Built on open standards, SAP DataBricks integrates easily with Python, SQL, and popular BI and data science tools.
Key capabilities of SAP Databricks for unified data and AI
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Unified data access without duplication.
Bring all your data together – no pipelines, no copy-pasting. SAP Databricks lets you instantly connect SAP data with third-party sources, all without duplicating datasets or building complex pipelines. It's data access made simple, reliable, and secure. -
Ready-to-use business data products.
BSkip the prep – start using data that's already analytics-ready. Tap into curated data products that represent your core business processes. Whether you're running reports or building AI models, these pre-built assets help you move faster and stay focused on insights, not setup. -
Full-cycle AI and machine learning.
From idea to deployment – all in one place. SAP Databricks supports the entire lifecycle of AI/ML development. Prepare data, experiment, train models, and deploy them into production using MLOps best practices – all from one integrated environment. -
Built for technical users.
Work the way you like – with tools you already know. If your team includes data engineers or developers, they'll feel right at home. SAP Databricks lets them write code, run advanced data analysis, and build AI models using their favorite tools – whether it's Python, SQL, or Jupyter notebooks. It's flexible, fast, and built to support expert work. -
Real-time analytics at scale.
Get answers as fast as the questions come. Run SQL queries on massive datasets and get insights instantly. With serverless Databricks SQL, teams can unlock live, on-the-fly insights across departments – no waiting, no bottlenecks. -
A trusted foundation for data and AI.
Govern your data. Protect your AI. All your data, analytics, and machine learning assets are built on a unified, secure foundation. With built-in governance and compliance controls, you stay in control – and in full alignment with your business and regulatory needs.
Why choose ACBaltica for the implementation of SAP Databricks?
Implementing SAP Databricks isn't just about connecting tools – it's about unlocking the full value of your enterprise data. You need a partner who understands your SAP landscape inside out and can help you turn raw data into real business impact. That's where ACBaltica comes in.
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Deep SAP knowledge meets open data experience
We've been working with SAP systems for over 20 years – SAP R/3, BW 3.0, BObj, CRM and HCM to S/4HANA Public Cloud, SAP BDC, CX, and SuccessFactors. We know how SAP data is structured, how it flows, and how to make it work with modern platforms like Databricks. Our team bridges both worlds: enterprise SAP and modern data engineering.
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We get your data – and what it needs to do
We've led dozens of complex data projects, including integrations, cleanups, and migrations. Whether your data needs to be harmonized, enriched, or restructured, we'll get it ready for analytics, AI, and real-time use in SAP Databricks – without losing sight of business logic or compliance needs.
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More than just connectors – we deliver working solutions
Our team doesn't just plug in APIs and hope for the best. We work hands-on with your SAP backend and Databricks layers to ensure everything connects, scales, and performs. From data pipelines and transformations to AI model deployment, we handle the full picture.
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Full-stack expertise
Need to clean up your source systems? Build governance rules? Connect to SAP Analytics Cloud and Business Data Cloud? We can do it all. We support you from core data foundations all the way to final reporting and AI – so your SAP Databricks solution doesn't just run; it delivers real value.
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Smart delivery, fair pricing
With our delivery center in Eastern Europe, we combine senior-level expertise with cost-effective delivery. That means you get top-tier consulting without stretching your budget.
Frequently asked questions about SAP Databricks
SAP Databricks connects directly to SAP Datasphere, allowing you to access and work with live SAP data without moving or copying it. This approach ensures data consistency, security, and governance while enabling powerful analytics and machine learning.
Yes. The goal of SAP Databricks is to enable end-to-end machine learning workflows, from data preparation to training and deployment. You can use popular tools like Python, MLflow, and notebooks to build and manage your AI models.
You can work with structured, unstructured, and streaming data from SAP systems (like S/4HANA or BW) and non-SAP sources (e.g., databases, APIs, files, cloud storage) – all in one environment.
Yes. The solution offers built-in data governance, access control, and compliance features to help meet regulations like GDPR, HIPAA, and others – while keeping your data protected and auditable.
SAP Datasphere is a data management and integration layer that keeps your SAP data consistent and business-context-aware. SAP Databricks builds on that by enabling large-scale analytics, data science, and AI on top of that data – without duplication (data stays in Datasphere).
Not necessarily. While data engineers and analysts can use code for advanced tasks, many teams can work with visual tools, SQL, or pre-built dashboards. It's suitable for both technical and non-technical users.
Of course! SAP Databricks supports open standards. It integrates with tools like SAP Analytics Cloud, Power BI, Tableau, and others, allowing you to visualize and report on your data seamlessly.