AWS Real-time Analytics
Unlock instant insights and respond faster
with real-time AWS analytics.
Make Smarter, Faster Decisions with Real-time Data Insights
In today’s fast-paced business world, real-time data is critical to staying ahead. Our AWS Real-time Analytics services empower you to capture, process, and analyze streaming data as it happens, delivering instant insights that drive proactive decision-making and operational excellence.
Using powerful AWS technologies like Kinesis, Lambda, Redshift, Glue, and Athena, we build scalable, low-latency analytics solutions that process high-velocity data from various sources—helping you monitor trends, detect anomalies, and respond to business events in real-time.
Our AWS Real-Time Analytics Services
At Exilon, we design and implement robust, low-latency analytics solutions using AWS-native services to help businesses unlock the power of streaming data. Our services are tailored to provide end-to-end support—from ingestion to insights.
Real-Time Data Ingestion & Stream Processing
Capture and process data as it’s generated using powerful AWS tools.
🔹Ingest high-velocity data using Amazon Kinesis Data Streams and Firehose.
🔹Process events in real-time with AWS Lambda and Kinesis Data Analytics.
🔹Enable fault-tolerant and scalable pipelines for consistent data flow.
🔹Integrate with third-party systems and APIs for comprehensive data capture.
Event-Driven Architecture Implementation
Build responsive systems that act on events as they occur.
🔹Design serverless, event-driven applications using Amazon EventBridge and Lambda.
🔹Automate alerts and workflows based on custom rules and patterns.
🔹Streamline business logic to respond instantly to customer and system events.
🔹Reduce latency across operations through asynchronous processing.
Performance Optimization & Cost Control
Keep your real-time systems efficient and scalable.
🔹Monitor performance with Amazon CloudWatch and AWS X-Ray.
🔹Optimize resource utilization for cost-effectiveness.
🔹Fine-tune stream retention, shard configurations, and buffer sizes.
🔹Implement lifecycle policies and budgets to control spend.
Real-Time Dashboards & Visualization
Visualize live data for instant decision-making.
🔹Create interactive dashboards using Amazon QuickSight and third-party BI tools.
🔹Connect to real-time data sources for continuous updates.
🔹Enable role-based access to custom views for stakeholders.
🔹Enhance insights with historical and streaming data overlays.
AI/ML-Enriched Streaming Analytics
Infuse intelligence into real-time pipelines.
🔹Apply predictive models in motion using Amazon SageMaker and Kinesis Data Analytics.
🔹Detect anomalies, trends, and patterns instantly.
🔹Automate actions based on AI-driven insights.
🔹Improve personalization, fraud detection, and operational intelligence.
Real-Time Alerts & Notifications
Stay informed and proactive with smart notifications.
🔹Configure dynamic alerts using Amazon CloudWatch, SNS, and Lambda.
🔹Define custom thresholds, triggers, and escalation paths.
🔹Integrate with Slack, Teams, email, and SMS platforms.
🔹Enhance operational visibility with proactive monitoring.
Why AWS Real-Time Analytics?
In today’s fast-paced digital world, timely insights can be the difference between leading and lagging. AWS Real-time Analytics empowers businesses to process and analyze streaming data as it’s generated—delivering instant visibility, smarter decisions, and accelerated action.
Whether it’s monitoring IoT devices, fraud detection, personalized content delivery, or supply chain intelligence, AWS provides a robust foundation for real-time intelligence at scale.
Low-Latency Data Processing
Capture, process, and analyze data streams in milliseconds with services like Amazon Kinesis and AWS Lambda.
Real-Time Decision-Making
Act instantly on insights to optimize operations, improve customer experiences, and detect anomalies as they happen.
Scalable Architecture
Handle growing volumes of streaming data without compromising performance or reliability.
Cost-Efficient Streaming Solutions
Use managed services that scale automatically and charge based on usage—maximizing ROI.
Seamless Integration
Easily integrate real-time analytics with existing AWS data lakes, warehouses, dashboards, and third-party tools.
Advanced AI/ML Capabilities
Enrich streaming analytics with AI-driven insights using Amazon SageMaker, Rekognition, and Comprehend.
Why Exilon?
Experience, Expertise, and Excellence
Unlock the full potential of streaming data with Exilon’s deep AWS expertise and proven delivery approach. We help businesses turn real-time data into competitive advantage through scalable, intelligent, and cost-effective analytics solutions.
AWS-Certified Analytics Specialists
Experienced engineers skilled in Kinesis, Lambda, Glue, and more to architect low-latency solutions.
Event-Driven Architecture Proficiency
We build resilient, serverless applications that react instantly to events, improving speed and agility.
End-to-End Streaming Expertise
From data ingestion to actionable insights—our services span the full real-time analytics lifecycle.
AI-Integrated Analytics Solutions
Add intelligence to your streaming data with real-time ML models for smarter decisions.
Custom Dashboards & Alerting
Live dashboards and smart notifications tailored to business KPIs and operational thresholds.
Cost-Efficient, Scalable Deployments
Optimized AWS usage for scalable performance and cost efficiency for maximizing ROI.
Ready to Unlock Real-Time Insights with AWS?
Partner with Exilon to turn your streaming data into actionable intelligence. Whether you’re building a new real-time analytics pipeline or optimizing existing systems, our AWS-certified experts deliver scalable, secure, and cost-efficient solutions tailored to your business goals.
Let’s transform your data into real-time decisions
FAQs
What is AWS Real-time Analytics?
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AWS Real-time Analytics involves capturing and processing streaming data as it arrives to provide instant insights and enable immediate actions across business processes.
Which AWS services are commonly used for real-time analytics?
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Core services include Amazon Kinesis, AWS Lambda, Amazon Redshift, Glue, Athena, and QuickSight, depending on your data sources and analytic needs.
What are some common use cases for real-time analytics?
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Popular use cases include fraud detection, live customer behavior tracking, IoT device monitoring, operational dashboards, and instant anomaly detection.
How is real-time analytics different from batch analytics?
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Real-time analytics processes data as it is generated, providing immediate insights, while batch analytics processes large volumes of data at scheduled intervals, often with some delay.
How do you handle the scalability of real-time data pipelines?
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We design elastic, fault-tolerant architectures using AWS services that automatically scale based on data volume and system demand to ensure continuous, reliable performance.
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