Kloudfuse vs. Grafana
Less Overhead
Less Overhead
More Extensive Features
More Extensive Features
Flat Pricing
Unified vs. DIY Assembly
Kloudfuse offers unified observability across metrics, logs, traces, digital experiences, and profiling. Grafana covers metrics, logs, traces, and profiles but requires manual integration.
Low vs. High Touch
Kloudfuse includes an automated Control Plane that handles availability, resource management, and upgrades. Grafana demands ongoing manual tuning and infrastructure management.
Predictable Pricing
Kloudfuse has flat, predictable pricing with no surprise fees. Grafana uses a usage-based model, where costs can rise unpredictably with increased usage, data volumes, and features.
AI and ML Capabilities
Kloudfuse includes built-in AI/ML tools like Prophet for anomaly detection and K-Lens for root cause analysis. Grafana offers AI/ML via integrations and plugins, with some features in higher-tier plans.
Unified Observability
100%
Pre-integrated across metrics, logs, traces, and profiles—no manual setup required.
50%
Requires manual integration of Mimir (metrics), Loki (logs), Tempo (traces), and Phlare (profiles).
Digital Experience Monitoring
100%
Real user monitoring and session replays to spot and fix user interaction issues.
0%
Grafana lacks this capability entirely.
Query Languages
100%
Familiar query languages—PromQL, TraceQL, LogQL, GraphQL, SQL—plus FuseQL for advanced operations.
75%
Familiar query languages (PromQL, TraceQL, LogQL, SQL).
Dashboards
100%
Embeds Grafana dashboards for ease of use.
100%
Easy to use Grafana dashboards.
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).
AI and ML Capabilities
100%
Features integrated AI/ML tools like Prophet for anomaly detection and K-Lens for root cause analysis.
25%
Offers AI/ML capabilities through integrations and plugins; some features available in enterprise tiers.
Self-Hosted Private Deployment
100%
Self-Hosted. Ideal for those with strict security, privacy, and sovereignty needs.
100%
Self-Hosted Option. Ideal for those with strict security, privacy, and sovereignty needs.
Scalability
100%
Designed for high-cardinality data with auto-scaling capabilities and low-latency analytics.
50%
Scalability depends on manual tuning of individual components; performance can vary based on configuration.
Maintenance
100%
Kloudfuse Control Plane automates availability, resource management, and lifecycle operations like upgrades.
25%
Grafana demands ongoing manual tuning and infrastructure management to ensure performance and scalability.
Migration and Vendor Lock-in
100%
Supports data from all agents and uses open data formats to facilitate migration and reduce vendor lock-in.
25%
Migration can be complex due to disparate data formats and configurations. Only supports a few agents.
Developer Community
25%
Starting to establish.
100%
Large developer community.
Pricing
100%
Kloudfuse offers predictable, flat pricing with no surprise fees.
0%
Grafana uses a usage-based pricing model, where costs can rise unpredictably with increased data volume and feature usage.
Unified Observability
100%
Pre-integrated across metrics, logs, traces, and profiles—no manual setup required.
50%
Requires manual integration of Mimir (metrics), Loki (logs), Tempo (traces), and Phlare (profiles).
Digital Experience Monitoring
100%
Real user monitoring and session replays to spot and fix user interaction issues.
0%
Grafana lacks this capability entirely.
Query Languages
100%
Familiar query languages—PromQL, TraceQL, LogQL, GraphQL, SQL—plus FuseQL for advanced operations.
75%
Familiar query languages (PromQL, TraceQL, LogQL, SQL).
Dashboards
100%
Embeds Grafana dashboards for ease of use.
100%
Easy to use Grafana dashboards.
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).
AI and ML Capabilities
100%
Features integrated AI/ML tools like Prophet for anomaly detection and K-Lens for root cause analysis.
25%
Offers AI/ML capabilities through integrations and plugins; some features available in enterprise tiers.
Self-Hosted Private Deployment
100%
Self-Hosted. Ideal for those with strict security, privacy, and sovereignty needs.
100%
Self-Hosted Option. Ideal for those with strict security, privacy, and sovereignty needs.
Scalability
100%
Designed for high-cardinality data with auto-scaling capabilities and low-latency analytics.
50%
Scalability depends on manual tuning of individual components; performance can vary based on configuration.
Maintenance
100%
Kloudfuse Control Plane automates availability, resource management, and lifecycle operations like upgrades.
25%
Grafana demands ongoing manual tuning and infrastructure management to ensure performance and scalability.
Migration and Vendor Lock-in
100%
Supports data from all agents and uses open data formats to facilitate migration and reduce vendor lock-in.
25%
Migration can be complex due to disparate data formats and configurations. Only supports a few agents.
Developer Community
25%
Starting to establish.
100%
Large developer community.
Pricing
100%
Kloudfuse offers predictable, flat pricing with no surprise fees.
0%
Grafana uses a usage-based pricing model, where costs can rise unpredictably with increased data volume and feature usage.
Unified Observability
100%
Pre-integrated across metrics, logs, traces, and profiles—no manual setup required.
50%
Requires manual integration of Mimir (metrics), Loki (logs), Tempo (traces), and Phlare (profiles).
Digital Experience Monitoring
100%
Real user monitoring and session replays to spot and fix user interaction issues.
0%
Grafana lacks this capability entirely.
Query Languages
100%
Familiar query languages—PromQL, TraceQL, LogQL, GraphQL, SQL—plus FuseQL for advanced operations.
75%
Familiar query languages (PromQL, TraceQL, LogQL, SQL).
Dashboards
100%
Embeds Grafana dashboards for ease of use.
100%
Easy to use Grafana dashboards.
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).
AI and ML Capabilities
100%
Features integrated AI/ML tools like Prophet for anomaly detection and K-Lens for root cause analysis.
25%
Offers AI/ML capabilities through integrations and plugins; some features available in enterprise tiers.
Self-Hosted Private Deployment
100%
Self-Hosted. Ideal for those with strict security, privacy, and sovereignty needs.
100%
Self-Hosted Option. Ideal for those with strict security, privacy, and sovereignty needs.
Scalability
100%
Designed for high-cardinality data with auto-scaling capabilities and low-latency analytics.
50%
Scalability depends on manual tuning of individual components; performance can vary based on configuration.
Maintenance
100%
Kloudfuse Control Plane automates availability, resource management, and lifecycle operations like upgrades.
25%
Grafana demands ongoing manual tuning and infrastructure management to ensure performance and scalability.
Migration and Vendor Lock-in
100%
Supports data from all agents and uses open data formats to facilitate migration and reduce vendor lock-in.
25%
Migration can be complex due to disparate data formats and configurations. Only supports a few agents.
Developer Community
25%
Starting to establish.
100%
Large developer community.
Pricing
100%
Kloudfuse offers predictable, flat pricing with no surprise fees.
0%
Grafana uses a usage-based pricing model, where costs can rise unpredictably with increased data volume and feature usage.
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.”
“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 results: a 23% reduction in MTTR, a 30% drop in costs, and a 50% decrease in customer-reported issues. Kloudfuse simplified our engineering workflows and empowered our teams with faster troubleshooting.”
“We replaced a patchwork of fragmented tools—Thanos, Prometheus, Fluentd, Elastic Kibana, and New Relic—with Kloudfuse. The results: a 23% reduction in MTTR, a 30% drop in costs, and a 50% decrease in customer-reported issues. Kloudfuse simplified our engineering workflows and empowered our teams with faster troubleshooting.”
Krishna Govindarajan
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.”
“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
Sign up today.
All Rights Reserved ® Kloudfuse 2025
Terms and Conditions