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AI Workflow and Operations
Data Management and Operations
AI Governance
Analytics and Insights
Observability
Security Operations
Risk and Compliance
Procurement and Supply Chain
Private Cloud AI
Vision AI
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Get Started with your requirements and primary focus, that will help us to make your solution
Please Select your Industry
Banking
Fintech
Payment Providers
Wealth Management
Discrete Manufacturing
Semiconductor
Machinery Manufacturing / Automation
Appliances / Electrical / Electronics
Elevator Manufacturing
Defense & Space Manufacturing
Computers & Electronics / Industrial Machinery
Motor Vehicle Manufacturing
Food and Beverages
Distillery & Wines
Beverages
Shipping
Logistics
Mobility (EV / Public Transport)
Energy & Utilities
Hospitality
Digital Gaming Platforms
SportsTech with AI
Public Safety - Explosives
Public Safety - Firefighting
Public Safety - Surveillance
Public Safety - Others
Media Platforms
City Operations
Airlines & Aviation
Defense Warfare & Drones
Robotics Engineering
Drones Manufacturing
AI Labs for Colleges
AI MSP / Quantum / AGI Institutes
Retail Apparel and Fashion
How Our Streaming Data Platform Works
Unlock real-time intelligence with our high-performance Streaming Data Platform. Ingest, process, and analyze continuous streams of data with ultra-low latency—built for agility, scalability, and actionable insights
01
Connect to diverse data producers - IoT devices, applications, logs, and external APIs—in real time with support for Kafka, MQTT, HTTP, and cloud-native connectors
02
Our platform supports event-driven pipelines with stream enrichment, filtering, and transformation powered by Apache Flink and Spark Structured Streaming
03
Automatically route data to data lakes, warehouses, or alerting systems based on content and rules
04
Enable instant decision-making through prebuilt and custom dashboards powered by Grafana, Kibana, or embedded BI tools
Top 4 Features of Streaming Data Platform
Real-Time Data Ingestion at Scale
Seamlessly capture and process high-volume event streams from multiple sources including IoT devices, applications, and APIs using advanced native connectors and intelligent schema-aware data pipelines for optimal performance
Stream Processing with Dynamic Workflows
Execute sophisticated real-time data filtering, transformation, and enrichment operations using SQL-like query capabilities, advanced event windowing techniques, and intelligent anomaly detection algorithms for comprehensive stream processing
Seamless Integration with Cloud Analytics Tools
Effortlessly route processed data streams directly to cloud storage platforms, enterprise data warehouses, and leading visualization tools including Grafana, Snowflake, and Redshift for immediate analytics and insights
Auto-Scaling Infrastructure
Engineered with robust distributed architecture, the platform guarantees continuous uptime, enterprise-grade fault tolerance, and intelligent dynamic resource scaling to handle varying workloads with zero downtime or performance degradation
Achieve Real-Time Results at Scale
Real-Time Business Decisions
Gain the ability to react to market events, customer behavior, or system anomalies instantly. 70% faster time-to-action, 40% improvement in operational agility
Increased Operational Efficiency
Streamline your data pipelines and reduce manual intervention with automated, low-latency processing. 35% reduction in infrastructure cost, 50% boost in processing speed
Data-Driven Customer Experiences
Deliver personalized services and intelligent automation powered by continuous data streams. 25% uplift in customer engagement, 30% increase in retention rates
XenonStack Insights
Cross-Industry Analytics
Data Lakehouse Architecture
Unify data storage and analytics with a Lakehouse model—combining the scale of data lakes and structure of warehouses to support real-time, multi-source insights
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Data Governance Tools
Top Enterprise Data Catalog Platforms
Deploy modern catalog solutions with metadata management, collaboration, and built-in governance to scale analytics across all teams securely
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Data Discovery and Governance
Integrating Data Discovery with Catalogs
Close the gap between governance and usability—enable data users to explore, discover, and trust their data while accelerating informed decision-making
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AI-Driven Data Management
Augmented Data Management Best Practices
Leverage AI to automate data preparation, metadata tagging, and quality monitoring—enhancing efficiency, reducing errors, and supporting scalable data operations
Integration Ecosystem : Powering Real-Time Streaming Workflows
Explore how our streaming data platform seamlessly connects across your data landscape. Designed for flexibility, scalability, and interoperability, it supports a rich ecosystem of tools—from data ingestion to visualization
Streaming & Processing Engines
Seamless integration with real-time engines like Apache Kafka, Flink, and Spark enables high-throughput, low-latency data pipelines for continuous analytics and decision-making
Compute & Orchestration
Connect effortlessly with Apache Airflow and other orchestration tools to automate and schedule your streaming workflows with reliability and control
Data Warehousing
Integrated with modern data platforms such as Snowflake, Redshift, and Databricks, enabling unified access to both real-time and historical data for deeper analytics
Cloud-Native Flexibility
Deploy across your preferred cloud environments—AWS, Azure, or Google Cloud—for flexible, scalable, and cost-optimized streaming solutions
Monitoring & Visualization
Monitor pipeline health and visualize insights in real time with Grafana, Kibana, and Tableau integrations—empowering faster decisions and proactive alerting
Security & Governance
Ensure data integrity, privacy, and compliance with built-in support for encryption, access control, and audit logging across your streaming architecture
Competencies
