Edge Delta vs Cribl (2025): A Comprehensive Comparison

Edge Delta vs Cribl — Use Cases


Observability
Security

Both Edge Delta’s and Cribl’s Telemetry Pipeline solutions provide support for security and observability use cases.

Data Processing

Edge Delta vs Cribl — Data Processing


Primary Processing Approach	Edge-based, intelligent pre-ingestion processing; enables real-time insights at scale	Stream-based, post-ingestion processing; latency gap between processing and insight extraction
Throughput Capability	Optimized for large scale, petabyte-per-day workloads	Capped at 200GB per day total throughput per vCPU
Processing Configurations	Edge Delta agents dynamically self-tune to adapt to changing workload demands introduced by new processing steps	Adding new processing rules requires manual resource tuning or scaling to maintain performance
Built-In Data Relevance Awareness	Intelligent log optimization; low-value logs are dropped at the source, high-volume data is converted to metrics	No built-in data relevance awareness

Edge Delta is built to handle large-scale and dynamic workloads, without requiring high CPU, memory, or bandwidth allocation. By distributing data processing out to the agent level, Edge Delta offers efficient pre-ingestion filtering, enrichment, masking, and optimization. Users receive out-of-the-box intelligence applied to their telemetry data, and can optimize data flows based on data volume and importance.

Cribl worker nodes are capped at 200GB per day total throughput per vCPU allocated, and are leveraged primarily for stream-based, post-ingestion processing. Cribl Stream and Edge do not provide built-in data relevance awareness capabilities.

Pricing

Edge Delta vs Cribl — Pricing


Pipeline Costs	Start at $0.10 per GB ingested	Start at $0.21 per GB ingested

Edge Delta costs start at 10 cents per GB, with additional streaming options.

Cribl Edge costs start at 21 cents per GB, with additional streaming options.

Pipeline Intelligence

Edge Delta vs Cribl — Pipeline Intelligence


Pipeline Intelligence	ML-powered log pattern detection	No pipeline-level intelligence
End-to-End Intelligence	Data value analysis provides real-time, intelligent pipeline recommendations to reduce downstream costs and noise	No built-in intelligence, requires external tooling

Edge Delta integrates intelligence directly into its pipelines, identifying what data is useful, what can be optimized, and what must be dropped or metricized — eliminating noise before it reaches backend destinations.

Cribl solutions focus primarily on standard data processing and routing, and have no built-in pipeline intelligence.

Scalability

Edge Delta vs Cribl — Scalability


Technology	Built on Go — modern, highly performant, lightweight	Built on Javascript — inefficient for CPU-intensive workloads
Robust Horizontal Scaling	Agents automatically scale as new infrastructure is created, and provide Horizontal Pod Autoscaler (HPA) support for Kubernetes deployments	Moderate scalability, requires hands-on infrastructure sizing
Robust Vertical Scaling	Agent CPU and memory utilization is highly efficient, and limits can easily be adjusted	Moderate scalability, requires hands-on infrastructure sizing

Edge Delta agents run entirely on Go for optimal performance and efficiency. They’re built to integrate seamlessly with dynamic and ephemeral environments, scaling both horizontally and vertically to adapt to workflow demands.

Cribl pipeline solutions (Cribl Stream and Cribl Edge) are written entirely in JavaScript, a less efficient language that requires more CPU overhead for execution and garbage collection. They’re built for traditional, VM-based environments, lacking true cloud elasticity. As a result, Cribl pipelines struggle with dynamic scaling and require more time, money, and compute for infrastructure management.

Ecosystem and Integrations

Edge Delta vs Cribl — Ecosystem and Integrations


Alignment with Open Source Standards	Provides native, in-pipeline support for OpenTelemetry and OTTL, as well as wide support for open source standards across sources and destinations	Provides in-pipeline support for OpenTelemetry
Integration Support	60+ integrations	80+ integrations

Edge Delta offers a wide range of integrations and in-pipeline support for OpenTelemetry and OpenTelemetry Transformation Language (OTTL) processing, providing users with a vendor-agnostic solution that supports any source and any destination.

Cribl offers a wide range of integrations, but provides limited open source support and has a heavy dependence on Splunk-based and other proprietary formats.

Visibility and Control

Edge Delta vs Cribl — Visibility and Control


Pipeline GUI	Simple, point-and-click interface for adding new sources, processors, destinations, and routes	Script-based configuration; UI becomes harder to use as pipelines grow in complexity
Pipeline Visibility	Cohesive view into pipelines and data flowing through them in real time	Fragmented view into pipelines, low visibility into data in-flight
RBAC	Provides role-based access control	Provides role-based access control

Edge Delta provides users with comprehensive pipeline control and visibility through a telemetry control plane, which includes in-depth dashboards, pipeline health information, and an intuitive point-and-click pipeline configuration interface. Through Live Capture, Edge Delta users can visualize their data as it flows through each processing step within their pipeline.

Cribl provides relatively low visibility into users’ pipelines — particularly as pipeline complexity grows — and provides limited insights into data as it’s flowing through pipelines.

Automation

Edge Delta vs Cribl — Automation


Pipeline Configuration	Automated; manual advanced configurations when required	Manual
Out-of-the-Box Packs	Offers pre-built pipeline packs for processing a wide variety of data formats	Offers pre-built pipeline packs for processing a wide variety of data formats

Edge Delta heavily automates pipeline configurations, and offers intelligent recommendations to tune configurations to optimize data flows based on volume and importance.

Cribl pipelines require manual configurations and continual tuning to ensure optimal performance.

Edge Delta vs
Cribl (2025)

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