Captura.io · High-volume photography platform Case Study

Modern data platform delivers real-time insights and reduces costs

BBI built a modern data foundation on AWS and Databricks for a high-volume photography platform, unifying fragmented systems and turning multi-hour pipelines into near real-time insight.

Client
Software platform for high-volume photography businesses
Technology
AWS Databricks Metabase
Outcome
Scalable foundation supporting real-time insights, lower costs, and continued growth
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Client
One sentence about the client
Technology
  • Technology name
Outcome
  • First result
4.5B+
Records onboarded
In three months
375GB
Business-critical data
Across 190+ tables
~2hrs
Processing time
Down from 25 to 40 hours
50-60%
Expected cost reduction
Driven by incremental processing
01
The Challenge

Rapid growth left data scattered across systems

Three obstacles stood between Captura and a modern, unified data foundation.

Rapid expansion through mergers and acquisitions spread Captura's data across legacy systems, acquired platforms, and external sources. Without an integrated environment, three obstacles emerged.

01

One cohesive, modern platform

Data lived in separate legacy, acquired, and external systems, with no single trusted view of the business.

02

Business Insights

Long processing timelines delayed internal and client reporting, forcing manual validation across systems.

03

Scalability and cost

Full data reloads drove up compute costs and limited the ability to scale and process data faster.

02
The solution
With a new CTO onboard, Captura.io set out to establish a modern data foundation that could keep pace with growth, support faster decision-making, and provide a consistent, trusted view of its business and clients' businesses. They chose BBI to lead this effort.
I've worked with BBI at multiple companies over the last 10 years. They were an obvious choice when I saw the challenges with our data platform. We didn't have data engineering on the team when I got here. BBI is helping us build that muscle.
CW
Chris Whyde
Chief Technology Officer, Captura.io

The work focused on three key areas:

01 — Architecture

Data architecture

A scalable architecture unifying legacy, acquired, and external data in one environment, with consistent models and controls for a reliable single source of truth.

02 — Platform

Data platform modernization

Modernized on AWS and Databricks for efficient, scalable processing. Pipelines were re-engineered from full reloads to incremental processing, cutting time and compute.

03 — Storage & Cost

Storage and cost optimization

Analyzed storage and processing to find inefficiencies. Storage was re-tiered, aligning infrastructure costs with actual business needs.

03
Outcomes

Faster, cheaper,
more trusted data

Faster access to data, lower costs, and a trusted foundation that scales with Captura's growth.

Faster access to data

Processing down from 25-40 hours to about 2 hours, with data consistently available for daily reporting.

Lower data processing costs

Expected to fall about 50-60%, driven by incremental processing and efficient compute usage.

More consistent, trusted data

Standardized pipelines and controls reduce reliance on manual reconciliation.

Improved operational efficiency

Automated monitoring and alerting improved detection and cut manual effort.Automated monitoring and alerting improved detection and cut manual effort.

Scalable foundation for growth

Modular architecture speeds integration of new systems, acquisitions, and data sources.

Faster integration fo new capabilities

New functionality is incorporated more efficiently, supporting ongoing development.

"
BBI helped us make the platform more efficient, less costly, and higher quality. When I have a data project, I know they can get it done.
Chris Whyde · Chief Technology Officer, Captura.io

Have a data project? Let's build the foundation.

From architecture to modernization and cost optimization, BBI brings deep data and analytics expertise to teams ready to scale.