Meet Azure Synapse Analytics
Azure Synapse Analytics is Microsoft’s cloud data warehouse that brings your enterprise data and big data analytics into one unified workspace — so you stop switching between tools and start getting real answers.
- Near-limitless scaling with a deeply integrated SQL engine — query petabytes without infrastructure headaches.
- Built-in Power BI and Azure ML connections mean your analytics and AI live in the same workspace.
- Enterprise-grade security and compliance out of the box — HIPAA, PCI DSS, and more.
Azure Synapse Analytics Features
Working with data-heavy environments across 30+ industries, we’ve seen what happens when the right platform meets the right team. Here’s what Synapse brings to your analytics stack.
General Features
- Quick deployment — live without weeks of setup.
- Data integration with ETL/ELT pipelines.
- SQL querying across relational and non-relational data.
- Multilanguage support: T-SQL, Python, Scala, Spark SQL,.NET.
- Automated restore points and backups.
Integrations
- Apache Spark for big data and data lake queries.
- Power BI and Azure Machine Learning built-in.
- Azure Stream Analytics for live streaming data.
- Azure Cosmos DB via Synapse Link.
- Third-party tools: Tableau, Qlik, SAS, and more.
Performance
- Unlimited scalability — compute and storage scale independently.
- Massively parallel processing for complex queries.
- Workload isolation for critical business processes.
- Result-set caching for instant repeated query results.
- Clustered columnstore indexes with up to 10x compression.
Security & Compliance
- Always-on encryption for data at rest and in motion.
- Dynamic data masking for sensitive fields.
- Column-level and row-level access controls.
- Certified: HIPAA, PCI DSS, SOC I/II/III, HITRUST.
Facilitate End-to-End Data Analytics with Azure Synapse
- Automated threat detection and fine-grained access control.
- Query relational and non-relational data across any source.
- Seamless Power BI and Azure ML integration built right in.
- Real-time streaming analytics without extra infrastructure.
- Enterprise security that meets global compliance requirements.
Azure Synapse Analytics Use Cases
From enterprise data warehousing to real-time IoT analytics, Synapse handles the workloads that define modern data-driven businesses.
Enterprise Data Warehouse
Pull data from finance, sales, marketing, operations, and production into one scalable, secure repository — and power enterprise-wide reporting from a single source of truth.
Operational Analytics
Measure how well your business processes perform, find bottlenecks before they grow into real problems, and run performance forecasts to stay ahead of change.
Manufacturing Analytics
Predict equipment failures before they halt production, forecast demand and manage inventory without guesswork, and spot supply chain risks early.
IoT Data Analytics
Use sensor data to predict maintenance needs, run streaming analytics on live device data across your entire asset base, and drive smarter engagement with predictive signals.
Customer Analytics
Segment your customer base, build accurate behavioral models, predict churn and buying behavior, and deliver personalized recommendations that match what customers actually want.
Web & Clickstream Analytics
See where your traffic is really coming from, map your full sales funnel to find where you lose people, and analyze user behavior patterns tied to real outcomes.
Fraud Detection
Model normal behavior patterns so anomalies get flagged fast. Protect against new account fraud, guest checkout abuse, and loyalty program exploitation.
Patient Monitoring
Store and analyze patient data securely in one compliant environment, identify early warning trends in patient conditions, and support care teams with data-backed plan recommendations.
Faiz Ali
Senior Data Scientist
at INNERLUXES
“When implementing Azure Synapse for enterprise clients, we validate query performance, pipeline reliability, and security controls at every layer before go-live. Synapse’s separation of compute and storage is a genuine game-changer for cost control at scale.
Selected Data Projects by InnerLuxes
Azure Synapse Analytics Pricing
Synapse charges compute and storage separately — so you only pay for what you actually use. Pause your data warehouse when it’s idle and cut costs without losing anything.
Go pay-as-you-go for full flexibility, or lock in reserved capacity and save up to 65%. Your budget, your call.
Data storage including warehouse data plus 7 days of incremental snapshot storage. Storage transactions not charged separately.
Pay-as-you-go compute for DW100c (100 DWUs). Scale up to DW30000c at $360/hr. Pause anytime to stop compute charges.
1-year reserved instances save ~37%. 3-year reserved instances save up to 65%. Geo-redundant disaster recovery from $0.057/GB/month.
Azure Synapse Analytics Benefits
From faster analytics to leaner infrastructure costs, here’s what your business gains when Synapse is implemented right.
Accelerated analytics
Your data warehouse is up and running quickly — no long procurement or setup cycles. Instant scalability means no downtime when workloads spike unexpectedly.
Infrastructure cost reduction
Pay only for what you use. No overprovisioning, no wasted budget sitting on idle servers. Pause compute when not in use and resume in minutes.
Broader data access
More people across your organization can access and act on data — not just the tech team. Less manual work collecting, cleaning, and building reports every week.
Enterprise-grade security
Always-on encryption, dynamic data masking, and granular access controls protect your data without requiring your IT staff to manage security manually every day.
Unified analytics platform
SQL, Spark, pipelines, BI, and ML all live in one workspace — eliminating the tool-switching that costs your team hours every week and creates data inconsistencies.
Increased IT productivity
Provisioning, patching, and maintenance happen automatically. Your team focuses on analytics work that matters — not infrastructure management.
How INNERLUXES Implements Azure Synapse Analytics
A structured, proven approach that gets your data warehouse live — without surprises, overruns, or missing requirements.
Step 1 — Discovery & Assessment
We review your current data environment, analytics goals, and workload requirements. This gives us everything we need to design the right Synapse configuration for your specific situation — not a generic template.
Step 2 — Architecture Design
Our architects design your Synapse workspace, data lake structure, dedicated and serverless SQL pools, Spark pools, and integration pipelines. Every decision is documented and explained in plain terms.
Step 3 — Data Integration & ETL/ELT
We build and configure ingestion pipelines from all your data sources — on-premises databases, cloud apps, APIs, streaming systems — into your Synapse environment. Reliably. At scale.
Step 4 — Security & Compliance Configuration
Encryption, role-based access controls, dynamic data masking, and compliance policy setup happen before a single byte of production data enters the system. Security is not an afterthought.
Step 5 — BI & ML Integration
We connect Power BI, Azure Machine Learning, and any third-party analytics tools your team depends on. Your data flows directly into the reports and models that drive your decisions.
Step 6 — Testing & Validation
We validate query performance, data accuracy, pipeline reliability, and security controls rigorously before go-live. Nothing reaches production until it passes our QA standards.
Step 7 — Go-Live & Ongoing Support
We manage the cutover, provide user training, and offer L1–L3 support along with ongoing cost optimization reviews. We stay with you — because launch is the beginning, not the end.
Choose Your Engagement Model
Synapse consulting
You need to understand if Azure Synapse is the right fit and how to approach it. Our consultants assess your environment, design your architecture, and give you a roadmap you can actually execute.
I’m Interested →Full implementation
Hand your Synapse project to a team of 132 professionals who’ve delivered 68 data projects across 30+ industries. We build it end-to-end. You own it.
I’m Interested →Support & optimization
Your Synapse environment is live but needs ongoing care. We handle performance tuning, cost optimization, security patching, and L1–L3 support so your team focuses on analytics, not infrastructure.
I’m Interested →Azure Synapse Analytics – Q&A
Azure Synapse Analytics is Microsoft’s unified cloud analytics platform that combines enterprise data warehousing, big data analytics, data integration, and AI capabilities in a single workspace — giving teams one place to ingest, explore, prepare, and serve data for immediate business needs.
Synapse separates compute and storage costs. Data storage runs at $23/TB/month. Compute is priced per DWU — starting at $1.20/hour for DW100c on pay-as-you-go, with reserved instances saving up to 65%. You can pause the warehouse when idle and pay nothing for compute during that time.
Yes. INNERLUXES handles end-to-end migration to Azure Synapse Analytics — from assessing your current environment and designing the target architecture, through data migration and ETL/ELT pipeline setup, to cutover and post-launch support. We’ve delivered 68 data projects and know every pitfall to avoid.