# Beusa Energy Achieves Major Cost Savings with Zerobus Ingest

> Beusa Energy's adoption of Zerobus Ingest marks a pivotal change in managing their explosive data growth, transforming operational efficiency and cost-effectiveness in real-time data usage.

**Source**: google.com | **Published**: 2026-07-28 | **Type**: case_study

## Key Facts

- Beusa cut ingestion costs from 689 DBU to 0.29 DBU per GB, revealing significant operational savings.
- Migrating to Zerobus Ingest enabled near-real-time data access, enhancing decision-making agility.
- High-frequency telemetry processing of 22M rows daily indicates strong scalability and operational efficiency.
- Transitioning to predictive maintenance models can optimize asset management and reduce downtime costs.
- Simplified architecture with Zerobus Ingest minimizes IT overhead, allowing focus on strategic data initiatives.

## Summary

\## Summary
Beusa Energy, a leader in the energy sector, faced escalating costs due to high data volumes from their telemetry systems. To address this, they implemented Zerobus Ingest, a direct-write API that significantly reduced ingestion costs and improved data processing efficiency. As a result, Beusa now processes approximately 22 million rows of telemetry daily with minimal maintenance and enhanced operational decision-making.

\## Background
Beusa Energy has been a disruptive force in the energy industry for 30 years, operating across various sectors including electric hydraulic fracturing and mobile power generation. The company manages thousands of remote assets in challenging North American environments, relying on high-frequency telemetry to monitor operations. Initially, Beusa utilized a custom MQTT and SQL solution to send data to the Databricks lakehouse, which provided a near-real-time view of operations but became economically unsustainable as data volumes grew.

\## Challenge
The primary challenge Beusa faced was the unsustainable cost-per-GB associated with their SQL Statement API path for data ingestion. As the number of devices and the volume of data increased, the existing solution was unable to scale economically, prompting the need for a new ingestion model that could handle high-frequency operational telemetry without incurring excessive costs.

\## Solution
Beusa's Data & AI team evaluated various alternatives for data ingestion, including managed MQTT brokers and traditional streaming brokers like Kafka and Azure Event Hubs. Ultimately, they chose Zerobus Ingest, which allowed for direct writes to Delta tables without the need for an additional broker layer. The implementation involved a simple change: swapping the SQL Statement API call for the Zerobus gRPC endpoint, enabling the existing .NET 9 worker to continue functioning without altering upstream brokers or device configurations.

\## Results
The migration to Zerobus Ingest resulted in a dramatic reduction in ingestion costs, dropping from approximately 689 DBU per GB on the SQL Statement API path to about 0.29 DBU per GB. This represents a reduction of three orders of magnitude while maintaining the same workload and payloads. Beusa now streams telemetry from over 6,000 devices at 1 Hz across 250 remote assets, achieving an end-to-end latency of around three seconds. The new architecture supports the processing of approximately 22 million rows of telemetry daily with zero maintenance.

\## Key Insights
The deployment of Zerobus Ingest illustrates that not every migration must focus solely on cost savings; operational efficiency and reduced maintenance can also drive significant value. Beusa's experience highlights the importance of selecting solutions that align with specific operational needs, particularly in high-frequency data environments.

\## Customer Testimonial
"The lesson for us is not every migration has to save money to be worth it; sometimes it is for reduced operational burden or better latency, sometimes it's both," said Nick Fornicola, Director of Data & AI Platforms at Beusa Energy. “Zerobus Ingest saved us a lot of money, simplified our stack, and put us on a managed path forward. That's rare."

## Frequently Asked Questions

**What challenges did Beusa Energy face with their initial data ingestion model?**

Beusa Energy's initial MQTT and SQL solution became economically unsustainable as data volumes grew. The cost-per-GB on the SQL Statement API path was visibly increasing, prompting the need for a more scalable ingestion model.

**How did Beusa Energy decide on the Zerobus Ingest solution?**

Beusa Energy evaluated various alternatives, including managed MQTT brokers and traditional streaming brokers, but found that Zerobus Ingest was the only option that allowed direct writes to Delta tables without adding a broker layer. This direct approach significantly reduced costs and operational complexity.

**What were the operational benefits of switching to Zerobus Ingest?**

The switch to Zerobus Ingest allowed Beusa to process approximately 22 million rows of telemetry daily with zero maintenance. This streamlined their data ingestion process and enabled near-real-time analytics across various operational areas.

**How has the new ingestion model impacted Beusa's maintenance strategy?**

The high-frequency telemetry data in the lakehouse enables Beusa to transition from condition-based maintenance to predictive maintenance. This allows them to forecast the remaining useful life of assets and allocate maintenance more effectively based on actual conditions.

**What lessons did Beusa Energy learn from their migration to Zerobus Ingest?**

Beusa Energy learned that not every migration needs to focus solely on cost savings; reducing operational burden and improving latency can also be valuable. The migration simplified their data stack and provided a more manageable path forward, enhancing overall operational efficiency.

## Links

- [Read on Welcome.AI](https://welcome.ai/content/beusa-energy-achieves-major-cost-savings-with-zerobus-ingest)
- [Original source](https://www.google.com/url?rct=j&sa=t&url=https://www.databricks.com/customers/beusa-energy/zerobus-ingest&ct=ga&cd=CAIyGmI0NTVlMjM1YTE2NTljZTE6Y29tOmVuOlVT&usg=AOvVaw3Ozma3scC-IVNAdKLxHMk1)

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Source: Welcome.AI | https://welcome.ai/content/beusa-energy-achieves-major-cost-savings-with-zerobus-ingest