Edge Delta vs Middleware comparison

Edge Delta offers a modern approach to observability and data analytics, leveraging distributed intelligence for more effective insights and alerting systems.

Edge Delta is designed to transform how users manage observability workloads by distributing data processing closer to the data source, reducing latency and increasing efficiency. This approach enables real-time analytics, providing immediate insights and anomaly detection. Its architecture allows for scalable data processing, making it adaptable to numerous environments. Users benefit from its capability to handle massive data streams efficiently while maintaining a high level of accuracy in analytics.

What are Edge Delta's key features?

• Distributed Analytics: Processes data close to the source for faster insights.
• Real-Time Anomaly Detection: Identifies irregular patterns as they occur.
• Scalable Architecture: Adapts to large data environments with ease.
• Automated Alerting: Provides timely notifications to mitigate risks.

What benefits should users expect?

• Reduced Latency: Faster insights through localized data processing.
• Enhanced Data Accuracy: Increased precision in analytics outcomes.
• Efficient Resource Use: Optimizes infrastructure utilization with a distributed model.

Edge Delta's implementation spans industries like finance, where real-time data monitoring is crucial for risk management. In retail, it supports large-scale data processing for customer insights, while in technology sectors, it assists in maintaining high availability and performance of critical systems.

Middleware platform helps identify, understand and fix issues across your cloud infrastructure.

Our AI-based predictive algorithms look at your data and give you suggestions on what to fix.

You are the owner of your data. Control your data collection and store it on your cloud to reduce cost by 5x to 10x.

Connect the dots between when the problem begins and where it ends. Fix problems before your users' report.

Logs: Manage and analyze your Front end, backend, and infrastructure log all in one place to correlate the issue.

Metrics: Monitor your infrastructure's health and performance, which allows you to diagnose issues more quickly.

Traces: Monitor Front end and backend traces and correlate them with respective logs to debug the issue faster.