Kloudfuse vs. New Relic

Significant Cost Savings

Significant Cost Savings

More Comprehensive Features

More Comprehensive Features

No Vendor Lock-in

No Vendor Lock-in

Product

Success Stories

Pricing

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Comprehensive Observability

All-in-one observability for metrics, logs, traces, digital experiences, and continuous profiling with advanced features in log management and application performance monitoring.

Affordable Pricing

Control your observability costs with Kloudfuse’s flat pricing. Eliminate egress fees, and benefit from efficient storage, data deduplication, and reduced retention costs.

Open Standards

Avoid vendor lock-in with OpenTelemetry support, open query languages, and embedded Grafana dashboards. Migrate using our dashboard and alert conversion kits, while keeping your existing agents.

Data Ownership & Security

Secure your observability data in your private cloud. With our data lake, your data is fully under your control, enabling AI applications, agentic workflows, and integration with other sources.

Get Started

Get Started

Get Started

Application Performance Monitoring (APM)

100%

Distributed tracing for identifying performance bottlenecks and understanding service dependencies.

100%

Distributed tracing for identifying performance bottlenecks and understanding service dependencies.

Application Performance Monitoring (APM)

100%

Distributed tracing for identifying performance bottlenecks and understanding service dependencies.

100%

Distributed tracing for identifying performance bottlenecks and understanding service dependencies.

Application Performance Monitoring (APM)

100%

Distributed tracing for identifying performance bottlenecks and understanding service dependencies.

100%

Distributed tracing for identifying performance bottlenecks and understanding service dependencies.

APM Data Model

100%

Closely resembles Opentelemetry standards.

50%

Proprietary model based on transactions and spans.

APM Data Model

100%

Closely resembles Opentelemetry standards.

50%

Proprietary model based on transactions and spans.

APM Data Model

100%

Closely resembles Opentelemetry standards.

50%

Proprietary model based on transactions and spans.

Service Map

100%

Global service map shows upstream and downstream dependencies, as well as external APIs and databases.

50%

Only shows each service with its upstream and downstream dependencies.

Service Map

100%

Global service map shows upstream and downstream dependencies, as well as external APIs and databases.

50%

Only shows each service with its upstream and downstream dependencies.

Service Map

100%

Global service map shows upstream and downstream dependencies, as well as external APIs and databases.

50%

Only shows each service with its upstream and downstream dependencies.

Root Cause Analysis

100%

Heatmaps, K-Lens, and ML for Advanced root-cause analysis (RCA).

25%

Must integrate with another tool (Zebrium) for ML and advanced RCA.

Root Cause Analysis

100%

Heatmaps, K-Lens, and ML for Advanced root-cause analysis (RCA).

25%

Must integrate with another tool (Zebrium) for ML and advanced RCA.

Root Cause Analysis

100%

Heatmaps, K-Lens, and ML for Advanced root-cause analysis (RCA).

25%

Must integrate with another tool (Zebrium) for ML and advanced RCA.

Dashboards and Querying

100%

Supports popular formats like Grafana dashboards, PromQL, TraceQL, LogQL, SQL, GraphQL, and FuseQL.

25%

Supports mainly proprietary formats for querying using NRQL. Does not integrate with Grafana dashboards.

Dashboards and Querying

100%

Supports popular formats like Grafana dashboards, PromQL, TraceQL, LogQL, SQL, GraphQL, and FuseQL.

25%

Supports mainly proprietary formats for querying using NRQL. Does not integrate with Grafana dashboards.

Dashboards and Querying

100%

Supports popular formats like Grafana dashboards, PromQL, TraceQL, LogQL, SQL, GraphQL, and FuseQL.

25%

Supports mainly proprietary formats for querying using NRQL. Does not integrate with Grafana dashboards.

Log Management

100%

Log fingerprinting and facet analytics auto-parse and deduplicate logs to speed up analysis and cut down on storage.

25%

Basic log management features.

Log Management

100%

Log fingerprinting and facet analytics auto-parse and deduplicate logs to speed up analysis and cut down on storage.

25%

Basic log management features.

Log Management

100%

Log fingerprinting and facet analytics auto-parse and deduplicate logs to speed up analysis and cut down on storage.

25%

Basic log management features.

Infrastructure Monitoring

100%

100%

Infrastructure Monitoring

100%

100%

Infrastructure Monitoring

100%

100%

Kubernetes Monitoring

100%

100%

Kubernetes Monitoring

100%

100%

Kubernetes Monitoring

100%

100%

Data Sources and Integrations

100%

100%

Data Sources and Integrations

100%

100%

Data Sources and Integrations

100%

100%

OpenTelemetry

100%

Fully compatible with all features available for OpenTelemetry.

50%

Compatible but certain features are not available for OpenTelemetry data.

OpenTelemetry

100%

Fully compatible with all features available for OpenTelemetry.

50%

Compatible but certain features are not available for OpenTelemetry data.

OpenTelemetry

100%

Fully compatible with all features available for OpenTelemetry.

50%

Compatible but certain features are not available for OpenTelemetry data.

Auto Instrumentation

100%

100%

Auto Instrumentation

100%

100%

Auto Instrumentation

100%

100%

Agent Configuration

50%

The customer needs to manually update the agents.

100%

Dynamic agent configuration from the UI is easier to use.

Agent Configuration

50%

The customer needs to manually update the agents.

100%

Dynamic agent configuration from the UI is easier to use.

Agent Configuration

50%

The customer needs to manually update the agents.

100%

Dynamic agent configuration from the UI is easier to use.

Pricing

100%

Flat pricing model. Affordable and transparent, with a range of sizes to fit your needs.

25%

Pay per user and data ingest. Expensive, with unexpended overages.

Pricing

100%

Flat pricing model. Affordable and transparent, with a range of sizes to fit your needs.

25%

Pay per user and data ingest. Expensive, with unexpended overages.

Pricing

100%

Flat pricing model. Affordable and transparent, with a range of sizes to fit your needs.

25%

Pay per user and data ingest. Expensive, with unexpended overages.

Data Retention

100%

No limits. Cost is proportional to data stored in object storage.

50%

30 to 90 days based on the plan.

Data Retention

100%

No limits. Cost is proportional to data stored in object storage.

50%

30 to 90 days based on the plan.

Data Retention

100%

No limits. Cost is proportional to data stored in object storage.

50%

30 to 90 days based on the plan.

Customer and Industry Reviews

"Eltropy previously depended on three separate tools—New Relic for tracing, Elastic for logs, and CloudWatch for infrastructure monitoring—resulting in rising costs as data volumes grew. By switching to Kloudfuse, we achieved a 92% reduction in debugging time and benefited from flat pricing, even with a 100x increase in data volume."

Rakesh Goyal

CTO

Eltropy

“We explored several solutions, including NewRelic, DataDog, and Elastic. While they were strong contenders, we found them unsuitable due to limited support for logs and the need for consulting services. Ultimately, we selected Kloudfuse, a more flexible and cost-effective solution to accommodate our growing data volume without restrictions.”

“We explored several solutions, including NewRelic, DataDog, and Elastic. While they were strong contenders, we found them unsuitable due to limited support for logs and the need for consulting services. Ultimately, we selected Kloudfuse, a more flexible and cost-effective solution to accommodate our growing data volume without restrictions.”

Krishna Govindarajan

VP Of Engineering

Nations Info Corp

"We replaced New Relic, Elastic, and a patchwork of disjointed tools with Kloudfuse. As a result, we reduced MTTR by 23%, cut observability costs by 30%, and saw a 50% drop in customer-reported issues. Kloudfuse’s unified platform gave us true end-to-end visibility, simplified our engineering, and empowered our teams with faster, smarter troubleshooting."

"We replaced New Relic, Elastic, and a patchwork of disjointed tools with Kloudfuse. As a result, we reduced MTTR by 23%, cut observability costs by 30%, and saw a 50% drop in customer-reported issues. Kloudfuse’s unified platform gave us true end-to-end visibility, simplified our engineering, and empowered our teams with faster, smarter troubleshooting."

Karthic Seetharaman Shankaran

Director Site Reliability Eng.

Innovaccer

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