Service

ScalableBig Data & Real- Time Streaming Solutions for Modern Enterprises

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

Certified & trustedCMMI Level 5ISO 2700125+ years600+ clients
ScalableBig Data & Real- Time Streaming Solutions for Modern Enterprises

Process maturity

CMMI Level 5

Information security

ISO 27001

Industry experience

25+ years

Global clients served

600+

02

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.

03

Why Mapelcode for Big Data & Real-Time Streaming?

01

Enterprise-Grade Pedigree –

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

02

Real-Time Event Processing Expertise –

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

03

Pipeline Accelerators –

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

04

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.

04

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.

05

High-Impact Industry-Specific Solutions

01

Healthcare

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

02

BFSI

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

03

Retail & eCommerce

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

04

Manufacturing (Industry 4.0)

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

05

Logistics

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

06

EdTech & Real Estate

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

06

Client Results & Case Studies

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.

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

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

08

Our Delivery Process

01

Discovery & Readiness Audit

Assess data sources, SLAs, compliance.

02

Architecture & Stack Design

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

03

Data Pipeline Build / MVP

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

04

Pilot Testing & Review

Validate throughput, latency, cost, and security.

05

Scale & Optimize

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

10

Platforms & Tools We Work With

Cloud

Cloud
AzureAzure
Google CloudGoogle Cloud

Streaming & Big Data

Apache KafkaApache Kafka
Streaming & Big Data
FlinkFlink
AWS KinesisAWS Kinesis

Data Stores

SnowflakeSnowflake
BigQueryBigQuery
DatabricksDatabricks
Amazon RedshiftAmazon Redshift

Visualization & Ops

Power BIPower BI
TableauTableau
MLflowMLflow
Visualization & Ops
FAQ

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.

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Transform Your Data into Real-Time Insights

Mapelcode’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!

Client Voices

What They Say

It is when things don't go perfectly that you can tell the caliber of the team that you are working with; and this team they rose to the occasion to solve the challenges that came up.

AS

AnnMarie Stephens

CEO at Precise Portions

Simmi Walia
Simmi Walia

Simmi Walia

CEO at Realesta

If Seasia Infotech wasn't helping me, the business would definitely not be where it is today. They have been able to implement every project that was asked of them to a very high standard.

YC

Y. Chung

Founder, Online Estate Directory

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