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Case Studies

Industry
Examples

DataFabric has been used to solve a variety of challenges that occur when dealing with real-time streaming data. While the architectures may vary, building a data-driven application requires a software-enabled mindset that applies the right business logic to the problem. DataFabric abstracts many of the infrastructure constraints and allows a clear focus on the data challenges.

“I thought our system was constrained by network latency, but now I can clearly see the problem is on the edge…by deploying the SWIM stack, we were able to provide an optimal solution”
- Darren Beyer, CTO, Trafficware
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Data-Driven Applications
Data Exchange

Data
Exchange

For the connected vehicle and smart city market, discover how DataFabric delivers a real-time API service on live traffic data for autonomous cars.

Smart City - Case Study
Data Application

Data
Application

For the discrete manufacturing market, discover how DataFabric was used to automate analytics & alerts for real-time response and predictive maintenance.

Smart Factories - Case Study
Data Computing

Data
Computing

For the transportation and logistics market, discover how DataFabric was used to correlate high-volume data streams locally, reducing network and storage costs.

Smart Logistics - Coming Soon

Solving These Challenges

Increasing
Costs

Starting with gateways and storage, most companies incur infrastructure costs before they even begin to collect an increasing volume of data.

Data Scientist
Recruiting

Even when resources aren’t scarce, building teams to cleanse, organize, and model large data sets can be a challenge for any organization.

Perpetual
Complexity

Traditional approaches of collecting, transmitting, storing, and analyzing large data sets introduce cumbersome architectures.

Expensive
Support

Maintaining solutions requires a comprehensive team for DevOps, integration, networking, analytics, and customer support services.