AI, Data & Intelligence
Real-Time Analytics
Engineering sub-second real-time analytical dashboards, streaming data queries and live operational metrics.
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.

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.
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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 questionReal-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.
Real-time analytics setup is delivered as a fixed-fee technical project based on streaming event volume, database selection and API scale.
Our real-time analytics architectures consistently deliver query response times between 10 milliseconds and 200 milliseconds.
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.