Financial Services

How an Embedded, Low-Latency Analytics Platform Was Built For Speed, Scale, and Cost Efficiency

Client Overview

A leading provider of transparent, independent market intelligence, data, and analytics, serving customers across energy, commodities, capital markets, and the broader global economy. Through its Energy Studio platform, S&P Global delivers real-time and historical insights that help energy companies make informed operational, commercial, and strategic decisions at scale.

The Problem

Energy Studio was powered by Heavy.AI, a high-performance analytics engine that delivered results, but at a cost.
As customer demand increased, critical limitations surfaced:

  • No centralized enterprise data warehouse or integrated data platform
  • High total cost of ownership constrained commercial scalability
  • Inability to scale horizontally as new customers onboarded
  • Massive data volumes (up to 5 billion rows per dataset) pushed platform limits
  • Real-time and geospatial analytics needed to remain uncompromised

Despite strong market demand, technology – not opportunity, became the bottleneck.

S&P Global needed a new architecture that could sustain growth, reduce cost, and deliver real-time intelligence at global scale.

The Solution

Neoware was brought in to reimagine the Energy Studio architecture from the ground up. Within a highly competitive, time-bound environment, Neoware designed and validated a modern, cloud-native analytics stack capable of handling extreme data volumes with low latency.

Financial Services

The new architecture delivered:

  • A horizontally scalable analytics engine built on SingleStore
  • High-performance ingestion and aggregation pipelines on AWS
  • Support for advanced geospatial analytics, including polygon-based queries
  • A flexible presentation layer using Apache Superset and Power BI
  • A cost-efficient design optimized for long-term scalability

The solution was rigorously benchmarked against leading alternatives including Databricks, Snowflake, Kinetica, and Apache Druid under real-world conditions.

The Business Outcomes

  • 4 TB Data Processed in 20 Minutes

    High-volume ingestion achieved without performance degradation.

  • Dashboards Ready in Under 10 Minutes

    Fast aggregations enabled near real-time decision-making.

  • Enabled Advanced Geospatial Analytics​

    Polygon-based spatial queries executed seamlessly at scale.

  • 75% Reduction in Total Cost of Ownership​

    New architecture delivered equivalent—and superior—performance at just 25% of the previous TCO.

  • Achieved Horizontal Scalability ​

    Energy Studio scaled effortlessly as customer demand increased.

  • 10 New Customers Onboarded in the First Year​

    Growth accelerated without additional infrastructure strain.

Journey From Data to Intelligence: How Neoware Helps

Neoware helps organizations like yours process massive data volumes in minutes, generate dashboards in near real-time, and run advanced geospatial analytics at scale, while reducing total cost of ownership by 75%, enabling horizontal scalability, and accelerating customer onboarding without additional infrastructure strain.

About Neoware

Neoware is a specialist Data to Intelligence solutions provider combining consulting, data engineering, Gen AI, AI/ML, and BI expertise with solution accelerators to deliver measurable business outcomes. Recognized as a Top 30 AWS Data-Driven Everything Partner, we build secure, scalable data platforms with GCP, Snowflake, Databricks, and Mage Data partnerships.

Industry

Financial Services

Services Provided
Tech Stack
  • SingleStore
  • Power BI
  • Snowflake + Power BI
  • Kinetica + Superset
  • Databricks (Delta Tables)
Neoware

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