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Acmez Technologies Pvt. Ltd.

About Acmez Technologies

An enterprise technology company built on engineering discipline, security-first thinking and long client relationships.

About Acmez

Technology services built for enterprise impact

Consulting, engineering, cloud, security, digital growth, AI, data and managed operations.

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View All Services

Technology solutions for modern organisations

Transformation, applications, cloud, security, integration, operations and dedicated teams.

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Explore All Solutions

Acmez product catalogue

Enterprise suites, vertical SaaS platforms, connected modules and focused operations products.

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AI, Data & Intelligence

Real-Time Analytics

Engineering sub-second real-time analytical dashboards, streaming data queries and live operational metrics.

Business Intelligence Service capability

Capability overview

What real-time analytics involves

Real-time analytics provides sub-second analytical querying over continuous streaming data, enabling immediate operational decision-making. We build real-time analytical platforms using ClickHouse, Apache Pinot, Starburst Presto and Materialize.

We connect streaming message brokers (Kafka, Kinesis) to real-time columnar databases, powering live dashboards that handle thousands of concurrent queries.

Our real-time analytics solutions serve high-concurrency applications including financial trading, ad tech bidding, gaming leaderboards and live operational control rooms.

During the real-time analytics engagement, our specialists work closely with your technical leads to establish tailored operational workflows, automated validation controls and clear deliverables for real-time columnar database setup and streaming data sink integration. From initial latency & throughput scoping through to real-time database architecture, we embed continuous telemetry monitoring, structured documentation and risk mitigation rules tailored specifically for your organization's real-time analytics goals and high-concurrency query tuning requirements.

Real-Time Analytics delivery workshop

What is included

What the engagement covers

Real-Time Columnar Database Setup

Deploying ultra-fast real-time analytics databases (ClickHouse, Apache Pinot, Rockset) for instant querying.

Streaming Data Sink Integration

Connecting Apache Kafka, Flink or AWS Kinesis streams directly into real-time analytical engines.

High-Concurrency Query Tuning

Optimizing real-time SQL queries to execute sub-50ms responses under high concurrent user load.

Live Kiosk & App Dashboarding

Building real-time auto-updating visual dashboards using WebSocket streams and specialized web components.

How we work

How we deliver real-time analytics

Latency & Throughput Scoping

Analyzing event ingestion rates, query latency targets (sub-second), user concurrency and storage retention rules.

Real-Time Database Architecture

Architecting ClickHouse or Apache Pinot cluster configurations, sharding keys and indexing strategies.

Stream Ingestion Pipeline Engineering

Configuring real-time ingestion pipelines reading streaming topics and materializing analytical aggregates.

Query Optimization & Benchmarking

Testing query performance under simulated high-concurrency loads and tuning memory allocation.

Production API & Dashboard Deployment

Deploying real-time analytical APIs and frontend dashboards connected to continuous data streams.

Related capabilities

Related capabilities in Business Intelligence

Business Performance Analytics

Comprehensive enterprise performance measurement, cross-departmental analytics and strategic goal alignment tracking.

Business Intelligence Strategy

Strategic business intelligence advisory, executive BI roadmaps, KPI architecture and self-service analytics frameworks.

BI Architecture

Designing enterprise BI architectures, semantic data layers, data modeling for reporting tools and high-throughput query caching.

Executive Dashboards

Building custom Power BI and Tableau executive dashboards for high-level business intelligence, profit/loss tracking and corporate KPIs.

Questions & answers

Questions about Real-Time Analytics

Cannot find what you need? Our team responds to technical and commercial questions within one business day.

Ask a question

Real-time databases like ClickHouse are engineered for sub-second query latency and high concurrent write/read throughput over streaming data, whereas traditional cloud warehouses focus on batch analytics.

Next step

Discuss real-time analytics with Acmez

Share what you need to change, build, integrate or support. We will map the practical next step.