Managed cloud data services that turn fragmented data into a secure, scalable advantage

DS Stream designs and operates managed cloud services that unify your data across clouds, protect sensitive assets, and modernize analytics without disrupting the business. We help you build a resilient cloud data platform that lowers total cost of ownership and accelerates time to insight.

Managed cloud data services that turn fragmented data into a secure, scalable advantage

Social Proof

Global data company (Kpler) – optimized feature store and model execution on cloud infrastructure, enabling faster model iterations and more reliable real-time analytics for trading and forecasting teams.

Travel & hospitality brand (Iliada.pl) – automated key sales and data workflows on modern cloud infrastructure, improving conversion on complex resort packages and reducing manual back-office work.

Multiple retail and FMCG clients – designed cloud data management and streaming pipelines that turned raw transactional and behavioral data into actionable insights for pricing, promotion, and assortment decisions.

What We Deliver

End-to-end cloud data management services

Our team covers architecture, implementation, and operations for cloud data management services across Azure, AWS, and Google Cloud, from ingestion and modeling to observability and cost optimization.

Secure cloud data protection and security-by-design

We embed cloud data protection and cloud data security into every architecture, covering encryption, role-based access, audit logging, tokenization, and data masking for sensitive domains such as finance or healthcare.

Data integration platform in the cloud

We implement cloud data integration platform patterns that connect ERP, CRM, web, IoT, and third-party data using scalable pipelines, APIs, and cloud data integration services.

Multi-cloud governance and cost-efficient operations

For organizations using several providers, we design multi-cloud governance platform patterns that standardize access, quality rules, and observability across Azure, AWS, and Google Cloud.

Domain-specific data clouds for marketing, sales, and SAP

We design and integrate data cloud for marketing, data cloud salesforce, and sap business data cloud solutions so commercial and finance teams can activate trusted customer and product data across channels.

What We Deliver

Discovery & Scoping

We align business goals, KPIs, priority lines, use cases, and constraints with service, operations, digital, and IT stakeholders.

Data & Telephony Assessment

We review sample data, telephony setup, routing logic, and system dependencies to identify the best first use case.

Design & Build MVP (6-8 weeks to first outcome)

We design conversation flows, implement integrations, configure guardrails, and launch the first production use case.

Adoption & Scale

We optimize real call data and expand to more lines, markets, and languages.

How It Works

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What our clients say

"DS STREAM's partnership approach guarantees high-quality services in a friendly, constructive atmosphere, where every issue we reported was quickly and efficiently resolved."

Paweł Korczak

CEO, Iliada

"DS STREAM’s optimization of SQL queries and feature stores reduced our data processing time from 4 hours to just 10 minutes, delivering a highly efficient and cost-effective solution."

Gen Yang

Data Science Manager, Kpler

"DS STREAM’s optimization of SQL queries and feature stores reduced our data processing time from 4 hours to just 10 minutes, delivering a highly efficient and cost-effective solution."

Gen Yang

Data Science Manager, Kpler

Selected Clients

Book a 30-minute consultation about your cloud data platform

Business Impact

Business Impact of implementing Managed Cloud Data solution

15–30% reduction in total cloud data platform costs within 12–18 months

By optimizing storage tiers, query patterns, and managed cloud services consumption, based on recent FinOps KPI benchmarks.

25–40% less time spent on manual data preparation and reconciliation for analytics teams

After centralizing data in a governed cloud data management platform.

2–3x faster delivery of new dashboards, models, and AI use cases

Thanks to standardized cloud data integration services and reusable data products.

Up to 70–90% forecast accuracy on cloud spend

By combining multi-cloud data management with FinOps KPIs such as forecast accuracy, waste reduction, and unit cost per workload.

20–40% improvement in marketing ROI

When data cloud for marketing and sales data clouds are used to drive better segmentation, personalization, and attribution.

Drop us a line and check how Data Engineering, Machine Learning, and AI experts can boost your business.

Talk to expert – It’s free

Data engineering for cloud-based data processing and storage.

Dominik Radwański

Service Delivery Partner

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AI in Retail

Why AI in Retail Is Moving from Nice-to-Have to Operational Necessity?

Discover why, in a world of razor-thin margins and exploding complexity, AI is shifting from a retail buzzword to a day-to-day operational necessity that protects profit and unlocks hidden value.

Reflecting Growth: Our Updated Visual Identity

DS Stream unveils a refreshed, minimal visual identity that reflects its growth as a strategic AI and data partner.

AI Transformation

AI in India’s Quick Commerce and Dark Store Revolution

Learn how AI is reshaping India's $6–7B quick commerce boom, and why dark store operations are the most demanding AI laboratory in modern retail.

How Collaboration Looks in Practice

We help enterprises design and run cloud data platforms that connect marketing, sales, finance, operations, and product data into one governed foundation.

Multi-cloud platforms

Azure

AWS

Google Cloud

Data source integrations

ERP

CRM

Web analytics

IoT

Third-party data sources

Domain-specific platforms

Salesforce

SAP

Snowflake data cloud

Security and governance tools

IAM

SIEM

Let’s talk and work together

We’ll get back to you within 4 hours on working days (Mon – Fri, 9am – 5pm CET).

Dominik Radwański
Service Delivery Partner

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Cloud Data FAQ

How do you reduce the risk and cost of data migration to Azure cloud or other platforms?

We plan data migration to Azure cloud and other environments in phases, starting with high-impact domains, automated testing, and rollback options, so you avoid long freezes and parallel stacks.

Phased migration approach starting with high-impact domains

Automated testing and rollback options

Optimized storage tiers, compute, and licensing to lower run-rate costs after migration

Can you work across multiple clouds and existing tools?

Yes, we design architectures and governance that span Azure, AWS, Google Cloud, and SaaS platforms like Salesforce, SAP, and snowflake data cloud.

Azure, AWS, Google Cloud

Salesforce, SAP, Snowflake data cloud

Coherent multi-cloud data management strategy rather than forcing all workloads into a single provider

How does this support AI and advanced analytics?

A well-designed cloud data platform with high-quality, governed data is the foundation for reliable machine learning and GenAI initiatives.

Solving ingestion, quality, and lineage first

Teams can ship AI use cases faster and with far fewer production incidents

What changes for the business once we modernize cloud data?

You move from reactive reporting to proactive, real-time decision-making across departments, with self-service access to trusted data.

Proactive, real-time decision-making

Shorter planning cycles

Reduced manual work

New revenue and efficiency opportunities that legacy data stacks cannot support