How Datamam Scaled Data Pipelines and Reduced Failures by 40% with Infatica
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Reduction in request failure rates
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Annual reduction in proxy-related expenses
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Faster data delivery across dashboards
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Consistently high request success rates
Executive Summary
Datamam is a data automation company specializing in AI-driven analytics, large-scale web crawling, and enterprise data integration. To support its high-performance infrastructure – used in services ranging from real-time dashboards to synthetic data generation – Datamam requires proxy solutions that are fast, reliable, and stable at scale.
Over the past three years, Infatica has become a key component of Datamam's architecture, providing premium residential proxies that power their most sensitive data pipelines. With Infatica, Datamam has reduced failure rates, improved data delivery speeds, and minimized the operational overhead typically caused by unreliable proxy providers.
As Datamam continues to expand into new automation and analytics domains, its partnership with Infatica is set to grow – ensuring that even the most demanding data workflows remain smooth, scalable, and uninterrupted.
About the Client
Data Automation AI & ML Enterprise Datamam is a data-centric technology company focused on bridging the gap between large-scale automation and enterprise-grade data governance. Operating at the intersection of artificial intelligence, cloud infrastructure, and real-time analytics, Datamam designs systems that empower organizations to process, transform, and act on massive volumes of data with precision and control.
From optimizing real-time analytical pipelines to integrating deeply with clients' cloud-native ecosystems, Datamam specializes in building bespoke data frameworks that support mission-critical decision-making. Their clients span sectors where data is both highly regulated and operationally vital – ranging from financial services to large-scale retail and logistics – requiring robust, scalable, and compliant solutions.
With a strong engineering-led culture and a sharp focus on reliability, Datamam continues to help enterprises unlock the full potential of automation and data intelligence.
The Challenge
For a company like Datamam, which operates at the core of real-time data automation and enterprise infrastructure, the performance and reliability of every system component are non-negotiable.
Among the most critical – and often overlooked – pieces of that architecture are proxies, especially when they serve as gateways for high-volume data extraction and system-to-system communication.
Before adopting Infatica, Datamam grappled with recurring instability and inconsistent quality from other proxy providers. For a company tasked with building sensitive, high-throughput pipelines, proxy failures could quickly cascade into delays, incomplete data, or compromised automation.
The Solution
To support its high-stakes infrastructure, Datamam adopted Infatica's residential proxy solution – prioritizing long-term stability, IP quality, and consistency over short-term scale.
With projects spanning sensitive domains like market research, AI model development, and enterprise data governance, even minor disruptions in proxy performance could ripple across entire workflows.
Infatica's proxies now serve as a trusted layer across many of Datamam's most data-intensive services, including web scraping, data crawling, and digital source identification.
When you're building data infrastructure that needs to run continuously and without margin for error, the quality and stability of your proxies are a major pain point.
Finding a solution that could deliver long-term consistency across sensitive applications became a priority, especially as the scale and complexity of Datamam's deployments grew.
The Results
Since adopting Infatica's residential proxies, Datamam has reported consistent performance gains across its data infrastructure. Over the past three years, Infatica has powered dozens of high-volume data workflows, helping the company improve speed, reduce failure rates, and increase overall operational efficiency.
−40% Proxy failure rate
By switching to Infatica, Datamam reduced proxy-related request failures by over 40%, leading to a noticeable drop in the number of retries and delays. This contributed to a 25–30% increase in data pipeline efficiency, allowing real-time dashboards and analytics tools to refresh faster and more reliably.
99%+ Data collection success rate
Across services like web crawling and consumer sentiment analysis – where large volumes of requests are distributed across diverse targets – Datamam was able to maintain a 99%+ success rate for data collection. This performance was especially valuable for time-sensitive processes like competitor monitoring and predictive analytics, where missing or delayed data can affect downstream decision-making.
15–20% Reduction in operational costs
Operationally, these improvements translated into significant cost savings. By reducing manual oversight, error handling, and infrastructure interruptions, Datamam estimates it has cut proxy-related operational costs by 15–20% annually.
Today, Infatica remains a critical part of Datamam's automation and data delivery backbone – supporting scalable, low-latency solutions trusted by enterprises across data-intensive industries.
For Datamam, reliability isn't a feature – it's a requirement. When dealing with enterprise-grade automation and data delivery pipelines, the margin for failure is virtually zero. That's why Infatica has become an essential part of their infrastructure.
We rely on Infatica for our most sensitive applications because the quality and stability of their proxies have been impeccable. I say that based on three years of consistent, uninterrupted usage – that's exactly where other providers fall short.
Future Outlook
As demand for intelligent automation, real-time analytics, and large-scale data sourcing continues to accelerate, Datamam is positioning itself to lead across multiple enterprise verticals. From powering AI agents to delivering synthetic data pipelines and embedded analytics, the company's core services depend on fast, uninterrupted access to diverse digital sources.
With more clients requiring always-on dashboards, smart data pipelines, and customized web crawling solutions, the underlying infrastructure must remain both scalable and resilient. And that's where Infatica's role is expected to deepen. In the months ahead, Datamam plans to expand its use of Infatica's residential proxies to support:
- Real-time product intelligence and price tracking
- Synthetic data workflows for machine learning
- AI-powered automation that requires dynamic, low-latency web interaction
- Increased geographic targeting for localized data enrichment
As protections on public-facing websites grow more sophisticated, Datamam sees stable, high-quality proxy access as a core dependency. With Infatica already proving its value across mission-critical workloads, the foundation is set for an even closer collaboration.
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