Modernize your data with cloud-native platforms
ScaleCloud modernizes legacy data estates into cloud-native data platforms — with lakes, lakehouses, warehouses, pipelines, and real-time analytics that turn data into competitive advantage.
Petabyte-scale lakes, lakehouses, and warehouses.
Streaming pipelines for real-time analytics.
Governed data ready for AI and ML.
Tiered storage and separation of compute/storage.
Full-lifecycle data modernization expertise
From assessment to AI-ready data — select a lifecycle stage to see the focus areas, deliverables, and tooling we bring.
Assess
2–3 week sprintAssess data estate, sources, quality, and modernization opportunities with AI-readiness scoring.
- Data assessment
- Quality audit
- AI readiness
- Data assessment
- Quality report
- AI readiness score
Ten services across the data lifecycle
A complete data modernization practice — select a service to explore the outcomes and where it fits.
Data Assessment
Assess data estate, quality, and AI readiness for modernization.
2–3 wk sprintDepth across every data domain
We deliver across the full data portfolio — select a domain to see what it covers and where it fits best.
Storage
6 servicesData lakes, lakehouses, and warehouses for petabyte-scale storage and analytics.
A foundation for data modernization
Storage, pipelines, analytics, AI, governance, and FinOps across the data platform. Select a layer to explore its components and design principles.
Pipeline Layer
AutomatedBatch and streaming pipelines for ingestion, transformation, and delivery.
- Automated pipelines
- Streaming-first
- Orchestrated
How we deliver data modernization
Select a track to explore our approach — storage, pipelines, and analytics.
Storage
Petabyte scaleBuild data lakes, lakehouses, and warehouses with tiered storage for petabyte-scale analytics.
- Data lake design
- Lakehouse architecture
- Warehouse modernization
- Tiered storage
- Catalog & metadata
- Data modeling
- Zone design (bronze/silver/gold)
- Access patterns
Data modernization capability depth
Seven capability areas with detailed features — select an area to explore each component and what it delivers.
Storage
Data lakes, lakehouses, and warehouses for petabyte-scale storage.
- Data LakePetabyte object storage
- LakehouseUnified lake + warehouse
- Zone DesignBronze/silver/gold
- Managed WarehouseMPP analytics
- ColumnarColumnstore
- SeparationCompute/storage split
- HotFrequently accessed
- ColdArchive tier
- LifecycleAuto-tiering
Start with a focused data assessment
Three assessments that turn data modernization into an actionable plan.
Data Estate Assessment
Assess data estate, sources, quality, and modernization opportunities.
Duration: 2–3 weeksRequest AssessmentAI Readiness Assessment
Assess data readiness for AI, ML, and generative AI with RAG.
Duration: 2–3 weeksRequest AssessmentData FinOps Assessment
Assess data platform cost, tiering, and optimization opportunities.
Duration: 1–2 weeksRequest AssessmentOutcomes our data engagements deliver
Petabyte Scale
Data lakes, lakehouses, and warehouses that scale to petabytes with tiered storage and unified analytics.
Real-Time Insights
Streaming pipelines and real-time dashboards that deliver insights 3–5× faster.
AI-Ready Data
Governed, high-quality data with lineage and catalog that's ready for AI, ML, and generative AI.
Continue across the data ecosystem
Explore related solutions — select one to see its strengths and where it fits.
AI & Generative AI
RAG, AI agents, and LLM integration with governance.
Insights from our data architects
Field-tested perspectives on lakehouses, pipelines, AI-ready data, and governance — with author and read time.
The Lakehouse Architecture
How lakehouses unify data lakes and warehouses for scalable, cost-efficient analytics.
Real-Time Data Pipelines
Building streaming pipelines with Kafka and CDC for real-time analytics at scale.
AI-Ready Data
How to make data ready for AI, ML, and RAG with governance, lineage, and feature stores.
Self-Service Analytics
Designing dashboards and self-service analytics that business users actually adopt.
Data Governance That Works
Quality, lineage, and catalog patterns that make data trusted and discoverable.
Answers to common data modernization questions
Data Readiness Score
Your data modernization readiness at a glance
- Free 30-minute consultation
- Vendor-neutral architects
- NDA available on request
- No obligation, no pressure
Ready to modernize your data?
Book a consultation with our data architects and build cloud-native data platforms with lakes, pipelines, real-time analytics, and AI-ready data.