Before adopting DataBahn, the firm was facing increasing challenges across several domains:

Data Growth and Escalating Costs
The firm’s security and event data ingestion volume grew 10% annually, significantly increasing SIEM licensing and storage costs. Budget pressures also limited the SOC’s capacity to invest in long-term strategic initiatives.

Monitoring High-Volume Data Feeds
High-volume sources like Carbon Black and network flow data were difficult to monitor due to concerns around SIEM licensing expansion.

Data Duplication and Inconsistencies
Duplicate data between the SIEM and the data lake caused inconsistent reporting and analytics reliability issues.

Slow Data Onboarding
Onboarding new data sources was time-consuming and engineering-intensive, especially with concerns around normalization and exceeding ingestion quotas.

The firm needed to revamp their security data management to keep up with data growth, reduce SIEM licensing and storage costs, and enable the SOC to onboard and analyze data more efficiently. The firm needed a robust, purpose-built solution to:

· Lower SIEM licensing and storage costs

· Improve log ingestion reliability

· Simplify onboarding and engineering workflows

· Aggregate noisy log sources for actionable intelligence

· Enable real-time hunting through enriched, indexed data

DataBahn Deployment & Results

With these challenges mounting and clear objectives in place, the firm chose to overhaul the way data moved across their ecosystem by deploying DataBahn to modernize their data architecture.

3-Week Deployment
DataBahn was deployed as the firm’s unified data control fabric, enabling precise control over what data went where, optimizing ingestion, analysis, and storage across their SIEM, Snowflake, and long-term storage.

30% SIEM Volume Reduction
By using DataBahn’s 900+ volume control rules, the firm reduced noisy and low-value logs, saving $300K annually in licensing. This let the team stay within budget while prioritizing high-value, security-relevant data.

High-Volume Source Optimization
DataBahn aggregated and transformed high-volume feeds (like network flow), reducing their ingest size by over 70% and surfacing actionable events.

Accelerated Onboarding
New apps and data sources were onboarded in minutes, not weeks. The firm avoided staging costs through direct write capabilities into Snowflake.

Faster, Smarter Threat Hunts
DataBahn’s Indicator Index made it easier to search across enriched threat data, reducing Snowflake compute costs and helping analysts move faster with less noise.

DataBahn Solution

Security Data Fabric

· Centralized ingestion layer across SIEM, Snowflake, and long-term storage

· Volume-aware ingestion with built-in suppression and enrichment

· Plug-and-play integration with Snowflake and analytics destinations

· Rule-based control for security-relevant routing and metadata cleanup

“Tracking threats meant writing heavy queries and hoping the logs were still there. Now, our hunts start with clean, enriched logs, and we move faster with less noise.”

- Principal Security Analyst

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With DataBahn in place, the firm gained tighter control over how data was collected, filtered, and delivered, leading to clear operational and cost benefits across their stack.

Predictable and Efficient Ingestion
‍Security logs were aligned with analytics and compliance needs, avoiding surprise data spikes.

Legacy Infrastructure Replacement
Replaced VM-based collectors with a stable, scalable pipeline layer.

Expanded Detection Coverage
Cost savings enabled the firm to onboard additional sources without breaching budgets.

Real-time Optimization
Data teams could live-track and refine rule logic using built-in versioning.

“DataBahn gave us a single, intelligent layer to clean and route data across everything from our SIEM to Snowflake. It removed friction we didn’t even realize we had.”

- Security Operations Lead

The firm struggled with slow onboarding, growing bills, and inconsistent data quality. DataBahn made it easier to bring in new data quickly and cleanly, cut down duplicates, and stay within budget. Onboarding new data sources became 70% faster, and analysts now move quicker with cleaner, more relevant data. DataBahn gave them the control and speed they need to keep pace as they grow.