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
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
Meet our results
What our clients say
Adam Murray
Head of Product Development, Sportside
Selected Clients
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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.
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How Collaboration Looks in Practice
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).
Service Delivery Partner
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
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
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
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