Kloudfuse vs. Datadog

Significant Cost Savings

Same Extensive Features

No Vendor Lock-in

Unified Observability

Experience all-in-one observability for metrics, logs, traces, digital experiences, and continuous profiling on a cost-effective, user-friendly platform that scales with your needs.

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.

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Unified Observability

100%

Unified across metrics, logs, events, traces, LLM, and more.

100%

Unified across metrics, logs, events, traces, LLM, and more.

Pricing

100%

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

Expensive, unpredictable pricing model, and unexpended overages.

Security and Compliance

100%

Deployed in your VPC. Ideal for those with strict security, privacy, and sovereignty needs.

25%

SaaS, vendor-hosted cloud. Sensitive Data Scanner tool to identify/tag sensitive data.

Vendor Neutrality

100%

Open to collect from any agent with migration paths from any prior tool.

Closed, with no migration path available.

Data Sources

100%

Over 700 sources.

100%

Over 700 sources.

Instrumentation and Collection

100%

Any agent (e.g., Datadog, NewRelic, OpenTelemetry, etc.). Does not require new instrumentation.

25%

Only Datadog agent. Requires non-standard, vendor-specific proprietary instrumentation.

Log Management

100%

Log fingerprinting and facet analytics automatically parse and deduplicate logs, enhance search speed, and reduce storage needs.

25%

High log volumes lead to increased costs, slow search and analysis, and limited retention periods.

Query Languages and Dashboards

100%

Familiar query languages (PromQL, TraceQL, LogQL, GraphQL, SQL), along with FuseQL, a rich query language for logs. Kloudfuse and open source Grafana dashboards.

25%

DDSQL. Proprietory, and requires learning and ramp time.

AI and ML Capabilities

100%

Advanced anomaly, outlier detection, forecasting, and correlation algorithms.

100%

Advanced anomaly, outlier detection, forecasting, and correlation algorithms.

Advanced Data Transformation

100%

Functions to improve query performance and reduce storage footprint (e.g., Metrics Rollup).

100%

Functions to improve query performance and reduce storage footprint (e.g., Metrics Rollup).

Data Retention

100%

Flexible, using any storage (e.g., cost-efficient S3 buckets).

50%

Datadog retention options range from 7 days to 15 months.

Ease of Deployment

75%

Simple deployment mode with built-in Control Plane to administer.

100%

SaaS-base product. Does not require hosting and administration.

Scalability

100%

Massively scalable without the associated costs.

75%

Scalable but costly at large scale.

Developer Community

25%

Starting to establish.

100%

Large developer community.

Use Cases

75%

Application, Infrastructure, Digital Experience, and LLM.

100%

Application, Infrastructure, Digital Experience, LLM, and Security.

Unified Observability

100%

Unified across metrics, logs, events, traces, LLM, and more.

100%

Unified across metrics, logs, events, traces, LLM, and more.

Pricing

100%

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

Expensive, unpredictable pricing model, and unexpended overages.

Security and Compliance

100%

Deployed in your VPC. Ideal for those with strict security, privacy, and sovereignty needs.

25%

SaaS, vendor-hosted cloud. Sensitive Data Scanner tool to identify/tag sensitive data.

Vendor Neutrality

100%

Open to collect from any agent with migration paths from any prior tool.

Closed, with no migration path available.

Data Sources

100%

Over 700 sources.

100%

Over 700 sources.

Instrumentation and Collection

100%

Any agent (e.g., Datadog, NewRelic, OpenTelemetry, etc.). Does not require new instrumentation.

25%

Only Datadog agent. Requires non-standard, vendor-specific proprietary instrumentation.

Log Management

100%

Log fingerprinting and facet analytics automatically parse and deduplicate logs, enhance search speed, and reduce storage needs.

25%

High log volumes lead to increased costs, slow search and analysis, and limited retention periods.

Query Languages and Dashboards

100%

Familiar query languages (PromQL, TraceQL, LogQL, GraphQL, SQL), along with FuseQL, a rich query language for logs. Kloudfuse and open source Grafana dashboards.

25%

DDSQL. Proprietory, and requires learning and ramp time.

AI and ML Capabilities

100%

Advanced anomaly, outlier detection, forecasting, and correlation algorithms.

100%

Advanced anomaly, outlier detection, forecasting, and correlation algorithms.

Advanced Data Transformation

100%

Functions to improve query performance and reduce storage footprint (e.g., Metrics Rollup).

100%

Functions to improve query performance and reduce storage footprint (e.g., Metrics Rollup).

Data Retention

100%

Flexible, using any storage (e.g., cost-efficient S3 buckets).

50%

Datadog retention options range from 7 days to 15 months.

Ease of Deployment

75%

Simple deployment mode with built-in Control Plane to administer.

100%

SaaS-base product. Does not require hosting and administration.

Scalability

100%

Massively scalable without the associated costs.

75%

Scalable but costly at large scale.

Developer Community

25%

Starting to establish.

100%

Large developer community.

Use Cases

75%

Application, Infrastructure, Digital Experience, and LLM.

100%

Application, Infrastructure, Digital Experience, LLM, and Security.

Unified Observability

100%

Unified across metrics, logs, events, traces, LLM, and more.

100%

Unified across metrics, logs, events, traces, LLM, and more.

Pricing

100%

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

Expensive, unpredictable pricing model, and unexpended overages.

Security and Compliance

100%

Deployed in your VPC. Ideal for those with strict security, privacy, and sovereignty needs.

25%

SaaS, vendor-hosted cloud. Sensitive Data Scanner tool to identify/tag sensitive data.

Vendor Neutrality

100%

Open to collect from any agent with migration paths from any prior tool.

Closed, with no migration path available.

Data Sources

100%

Over 700 sources.

100%

Over 700 sources.

Instrumentation and Collection

100%

Any agent (e.g., Datadog, NewRelic, OpenTelemetry, etc.). Does not require new instrumentation.

25%

Only Datadog agent. Requires non-standard, vendor-specific proprietary instrumentation.

Log Management

100%

Log fingerprinting and facet analytics automatically parse and deduplicate logs, enhance search speed, and reduce storage needs.

25%

High log volumes lead to increased costs, slow search and analysis, and limited retention periods.

Query Languages and Dashboards

100%

Familiar query languages (PromQL, TraceQL, LogQL, GraphQL, SQL), along with FuseQL, a rich query language for logs. Kloudfuse and open source Grafana dashboards.

25%

DDSQL. Proprietory, and requires learning and ramp time.

AI and ML Capabilities

100%

Advanced anomaly, outlier detection, forecasting, and correlation algorithms.

100%

Advanced anomaly, outlier detection, forecasting, and correlation algorithms.

Advanced Data Transformation

100%

Functions to improve query performance and reduce storage footprint (e.g., Metrics Rollup).

100%

Functions to improve query performance and reduce storage footprint (e.g., Metrics Rollup).

Data Retention

100%

Flexible, using any storage (e.g., cost-efficient S3 buckets).

50%

Datadog retention options range from 7 days to 15 months.

Ease of Deployment

75%

Simple deployment mode with built-in Control Plane to administer.

100%

SaaS-base product. Does not require hosting and administration.

Scalability

100%

Massively scalable without the associated costs.

75%

Scalable but costly at large scale.

Developer Community

25%

Starting to establish.

100%

Large developer community.

Use Cases

75%

Application, Infrastructure, Digital Experience, and LLM.

100%

Application, Infrastructure, Digital Experience, LLM, and Security.

Customer and Industry Reviews

“The Kloudfuse unified observability data lake, deployed within GE Healthcare VPC, ensures that all metrics, events, logs, and traces (MELT) data are completely secure and compliant, while significantly reducing the overall solution cost for increased data volumes.”

Dharam Savarala

Senior Director • CoE

GE Healthcare

"We replaced a patchwork of fragmented tools—Thanos, Prometheus, Fluentd, Elastic Kibana, and New Relic—with Kloudfuse. The result: a 23% reduction in MTTR, 30% lower observability costs, and 50% fewer customer-reported issues. Kloudfuse simplified our engineering workflows and empowered teams to troubleshoot faster."

Karthic Shankaran

Director Of Site Reliability

Innovaccer

“Kloudfuse is making scalable observability available to enterprises that are currently using and paying high licensing fees for multiple monitoring and observability platforms. It does this by offering a lower license cost, while supporting large-scale data and a unified view across all observability streams.”

Mike Fratto

Senior Research Analyst

451 Research

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