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ScalableBig Data & Real-
Time Streaming Solutions
for Modern Enterprises

From architecture to deployment, Seasia Infotech helps you harness big data and real-time analytics to drive business impact. 

Trusted Excellence

200+ AI & Big-Data Projects Delivered
Trusted by Fortune 500s
Gartner-Recognized | ISO 27001 | CMMI Level 5

Big Data & Streaming Services We Offer

Big Data Readiness & Feasibility Assessment 

Rapid, evidence-based audits reveal gaps, costs, and the best real-time data streaming solutions for your goals. 

Real-Time Data Pipeline Development 

End-to-end pipelines that ingest, process, and surface insights in milliseconds, ideal for IoT devices and high-frequency trading alike. 

Streaming Data Architecture Design  

Kafka, Spark Streaming, Flink, and cloud-native services engineered for 99.99% uptime and elastic scale.   

Big Data & Streaming Analytics Strategy 

Align real-time big data processing with KPIs, compliance, and future data monetization plans.  

Platform & Stack Advisory  

Cloud-agnostic guidance across AWS, GCP, Azure, Kinesis, BigQuery, Snowflake, Databricks, and more. 

MVP & Pilot Streaming Solutions 

Prove value in 6–12 weeks, then scale with confidence. 

Speak with Our Team

Why Seasia Infotech for Big Data & Real-Time Streaming?

Enterprise-Grade Pedigree –

24 years delivering enterprise big data solutions in BFSI, healthcare, retail, and manufacturing. 

Real-Time Event Processing Expertise –

Low-latency architectures that power fraud detection, dynamic pricing, and predictive maintenance. 

Pipeline Accelerators – 

Pre-built connectors, schemas, and MLOps templates slash go-live by up to 40%.  

Cross-Industry Insight –

We’ve shipped big data and real-time streaming services for IoT-enabled factories, cloud-native fintech apps, and nationwide logistics platforms. 

Flexible Engagement Models to Choose From

Short-Term Advisory (2–6 weeks)

Architecture blueprints, feasibility studies, PoCs. 

Pilot / MVP Builds (6–12 weeks)

Validate streaming data architecture and demonstrate ROI. 

Dedicated Data Engineers & Architects

On-demand squads for continuous big data pipeline development.

Big Data CoE Partnership 

Long-term collaboration with shared KPIs and governance.

Build Your Solution

High-Impact Industry-Specific Solutions

View All Industries

  • Healthcare 

    Real-time patient monitoring, predictive diagnostics, HL7/FHIR compliant data lakes. 

  • BFSI

    Sub-second fraud detection, streaming risk analytics, MiFID II audit trails.  

  • Retail & eCommerce 

    Live customer behavior analytics, inventory-aware promotions, recommendation engines.  

  • Manufacturing (Industry 4.0)

    IoT sensor streaming, predictive maintenance that cuts downtime by 30%.  

  • Logistics

    End-to-end supply-chain visibility, fleet tracking analytics, ETA recalculation 

  • EdTech & Real Estate

    Adaptive learning insights, property value analytics, data-driven personalization.

Client Results & Case Studies 

View More
IoT Edge-to-Cloud Streaming Platform 
  • Cut telemetry latency by 45% and scaled to 2M events/sec.  
Retail Forecasting Pipeline   
  • Increased demand forecast accuracy by 30% within three months.   
  • Election Management Software
  • Screen Damage Detection Software
  • RealEsta AI
  • DMV Software
  • BSA Drone App
  • E-scooter App Development
  • BetterFleet Platform
  • Enterprise Tiger – Debt Recovery
  • Gis Mapping Software

Election Management Software

Web Platform

Secure election operations platform with end-to-end automation.

Case Study Details

Our Delivery Process 

  • Discovery & Readiness Audit  

    Assess data sources, SLAs, compliance.  

  • Architecture & Stack Design

    Select the optimum streaming data architecture (Kafka vs. Kinesis, Spark vs. Flink).

  • Data Pipeline Build / MVP 

    Develop schemas, real-time stream processing platform, dashboards. 

  • Pilot Testing & Review 

    Validate throughput, latency, cost, and security. 

  • Scale & Optimize  

    Harden for production, implement MLOps/DataOps best practices, ongoing optimization. 

Key Highlights

Agile sprints
ISO-aligned Quality Gates
Continuous monitoring baked

Platforms & Tools We Work With

Cloud
AzureAzure
Google CloudGoogle Cloud
Streaming & Big Data
Apache KafkaApache Kafka
FlinkFlink
AWS KinesisAWS Kinesis
Data Stores
SnowflakeSnowflake
BigQueryBigQuery
DatabricksDatabricks
Amazon RedshiftAmazon Redshift
Visualization & Ops
Power BIPower BI
TableauTableau
MLflowMLflow

Cloud

AzureAzure
Google CloudGoogle Cloud

Streaming & Big Data

Apache KafkaApache Kafka
FlinkFlink
AWS KinesisAWS Kinesis

Data Stores

SnowflakeSnowflake
BigQueryBigQuery
DatabricksDatabricks
Amazon RedshiftAmazon Redshift

Visualization & Ops

Power BIPower BI
TableauTableau
MLflowMLflow

Need Help Choosing Your Tech Stack?

Request Advisory

Insights & Resources

Blogs

Frequently asked questions

It’s the continuous ingestion and processing of event data like clicks, sensor signals, and transactions with millisecond latency so businesses can react instantly. 
From proactive fraud prevention to hyper-personalized CX, real-time big data processing turns raw events into immediate, revenue-impacting decisions.
Apache Kafka, AWS Kinesis, Google Pub/Sub, and Azure Event Hubs are leading options; Spark Streaming and Flink add advanced analytics.
Elastic scaling, managed security, and pay-as-you-go economics accelerate time-to-insight without CapEx.
Define events → choose a streaming layer (Kafka/Kinesis) → add real-time processing (Spark/Flink) → store in analytic warehouses → visualize & iterate.

Transform Your Data into Real-Time Insights

Seasia’s big data engineering services merge big data and streaming analytics into a single, cloud-based, real-time stream processing platform that fuels high-velocity growth. Whether you’re a Fortune 500 or a startup seeking scalable real-time data streaming services, we have the blueprint, talent, and accelerators to deliver the best big data and real-time streaming solutions for enterprises. Let’s turn your events into a competitive advantage — starting today!

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