Slow Queries, Slow Reports
Reports take minutes or hours to run as data grows.
Cloud Data Platforms
Cloud Data Platform Services Built for Analytics and AI
We design, migrate and run modern cloud data platforms on Snowflake, Databricks and BigQuery, so all your data lives in one fast, scalable and cost-controlled place.
Challenges
Why Old Data Platforms
Hold You Back
Legacy databases and on-premise warehouses weren't built for today's data volumes or AI.
Hard to Scale
Adding more data means buying more hardware.
Costs That Keep Rising
Licenses and maintenance grow every year.
Not Ready for AI
Data science teams can't easily access or process the data they need.
Book A Call
Talk to a Data Platform Expert
Talk to a Data Platform Expert
Service
Our Cloud Data Platform Services
Modern data platform consulting, from choosing the right platform to running it day to day.
Snowflake Consulting Services
Set up, migrate to and optimize Snowflake for fast, scalable analytics.
Databricks Consulting Services
Build lakehouse platforms on Databricks for analytics, data science and AI.
BigQuery Consulting Services
Design and optimize Google BigQuery for large-scale analytics.
Data Warehouse Consulting
Design data warehouses and models that make reporting fast and consistent.
Data Lakehouse Services
Combine the flexibility of a data lake with the performance of a warehouse.
Cloud Data Warehouse Migration
Move from legacy databases and on-premise warehouses to the cloud safely.
Process
How We Build Your Data Platform
A three-phase approach from platform choice to a platform that runs itself.
Phase 1: Assess & Plan
Timeline: 1-2 weeks
We review your data, workloads and costs, choose the right platform and design the architecture.
Deliverables:
- Current-state assessment
- Platform recommendation
- Target architecture
- Cost estimate
- Migration plan
Phase 2: Build & Migrate
Timeline: 2–3 weeks
We build the platform, migrate data and workloads in phases, and validate every step.
Deliverables:
- Cloud data platform setup
- Data models and pipelines
- Phased data migration
- Validation and testing
- Security and access controls
Phase 3: Optimize & Support
Timeline: 3–4 and ongoing
We tune performance and costs and support your teams as usage grows.
Deliverables:
- Performance tuning
- Cost monitoring and optimization
- User onboarding
- Platform monitoring
- Ongoing support
Benefits
Cloud Infrastructure Built for Growth
Faster Analytics
Queries and reports that run in seconds.
Scale on Demand
Handle more data and users without new hardware.
Controlled Costs
Pay for what you use, with clear cost monitoring.
Ready for AI
One platform for analytics, data science and machine learning.
One Home for Your Data
All your data in one secure, governed place.
Use Cases
Cloud Data Platforms for Your Industry
Data Platforms for Healthcare
Cloud data platforms built for care coordination, clinical operations, and compliance-aware, patient-facing systems.
Apply cloud data platforms to patient-facing platforms, care coordination tools, and clinical operations- Support compliance-aware builds for data-sensitive healthcare workflows.
Case Studies
Proven Builds, Not Just Prototypes
Projects Of Novatore Solutions
Data EngineeringLaravel
SecureSplit
Novatore built the data and document layer behind SecureSplit, a cloud-based LegalTech SaaS platform on Laravel and React that helps family law professionals securely manage clients, cases, and divorce-related financial workflows in one system
OUTCOME
A centralized platform connecting client, case, and financial data so collaboration, documentation, and compliance work from one secure source.
Challenge: Family law professionals managed clients, cases, and divorce-related financial calculations across scattered tools, making collaboration and compliance harder to keep consistent.
Solution: Novatore built SecureSplit's Laravel and React data layer, centralizing client, case, document, and financial-calculation workflows into one secure, compliant platform.
Result: Family law professionals now collaborate, manage documents, and run financial calculations from a single centralized system instead of scattered tools.
Health CareData Engineering
Dawa Asaan
Novatore built the data layer behind Dawa Asaan, a Ruby on Rails and Flutter platform connecting a patient's prescription to pre-packed, pre-sorted medicine delivery at their chosen date and time.
OUTCOME
Prescription, packing, and delivery data connected so patients receive accurately sorted medicines on schedule.
Challenge: Patients had no reliable way to turn a prescription into correctly sorted, on-time delivery without manual coordination between pharmacy and courier.
Solution: Novatore built a Ruby on Rails and Flutter data layer connecting prescriptions to pre-packing, sorting, and scheduled delivery in one system.
Result: Patients now receive pre-packed, pre-sorted medicines on their chosen schedule, with pharmacists fulfilling orders directly from the connected platform.
Software & IT ServicesAI Product Engineering
JOTIQ
Novatore worked on JOTIQ, a Next.js and NestJS platform that uses AI to streamline and automate the recruitment and client-outreach pipeline for sales teams and agencies.
OUTCOME
An automated pipeline handling recruitment and outreach tasks that sales teams and agencies previously ran manually.
Challenge: Sales teams and agencies ran recruitment and client outreach manually, making the pipeline slow and inconsistent as volume grew.
Solution: Novatore worked on JOTIQ's Next.js and NestJS platform, using AI to automate recruitment and outreach steps across the pipeline.
Result: Sales teams and agencies now run recruitment and outreach through a single automated pipeline instead of handling each step manually.
Tools & Technologies
Technologies We Build With
Our strategy engagements are grounded in the same tools our delivery teams use, so roadmaps reflect what's actually achievable with today's AI platforms.
FAQ
Cloud Data Platform FAQs
What teams usually ask before choosing a data platform.
It depends on your existing infrastructure and team familiarity; we typically build on AWS, Azure, or GCP rather than pushing a single default.
We plan migrations in phases with validation checkpoints, so day-to-day operations continue running on the old system until the new one is verified.
Yes, we regularly run cost audits on existing platforms and recommend storage tiering, query optimization, and right-sizing changes
Yes, we can architect hybrid platforms where regulatory or legacy constraints require some data to remain on-premise.
Our prioritisation framework scores use cases on cost, effort, and expected return, which gives leadership a shared, objective basis for the conversation.
Yes, we regularly build roadmaps for HealthTech and FinTech clients, factoring compliance and audit requirements into use-case scoring from the start.
Pricing depends on scope, but a standard AI strategy engagement is a fixed-fee project, not an open-ended retainer, you'll know the investment upfront before we begin, and it's a fraction of the cost of a mis-scoped AI build.
Your Go To Business Partner
Why Novatore
An AI-Native technology partner
We combine strategy and delivery to build what actually ships, from roadmap to production
Teams Which Deliver
Strategists, engineers, and QA specialists work as one team to turn plans into software fast.
Full-stack technical depth
React, Next.js, Node.js, Flutter, and Laravel expertise, paired with modern AI and cloud tooling, covers the full delivery lifecycle.
US, UK, and Canadian Clients
We work inside the timelines, communication norms, and compliance expectations our North American and UK clients require.
Backed by 38+ shipped platforms
38+ products delivered from concept to production across HealthTech, FinTech, retail, and SaaS, with proven experience
Ready to know where you actually need help
Build a Data Platform Ready for AI
Tell us about your data and goals. We'll recommend the right platform and a safe path to get there.
