Compare
Edge Delta vs Cribl.
Compare Edge Delta and Cribl’s Telemetry Pipelines across eight categories.
Last updated August 28, 2026
The short version
Edge Delta and Cribl both run telemetry pipelines for observability and security data. The difference is where the work happens and how much of it you do by hand. Edge Delta processes data at the agent level, before it leaves your infrastructure, and tunes its own pipelines based on volume and importance.
Cribl Stream and Cribl Edge focus on routing and standard processing, and their pipelines need manual configuration to hold performance. On list price, Edge Delta starts at 10 cents per GB against 21 cents per GB for Cribl Edge. The sections below compare the two across eight categories.
Use Cases
Coverage for observability and security
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|---|---|---|
| Observability | ✓Use Case Supported | ✓Use Case Supported |
| Security | ✓Use Case Supported | ✓Use Case Supported |
Data Processing
Processing at the source, built for petabyte scale
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|---|---|---|
| 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 |
Cribl worker nodes are capped at 200GB per day total throughput per vCPU allocated, and are used primarily for stream-based, post-ingestion processing. Cribl Stream and Edge do not provide built-in data relevance awareness capabilities.
Pricing
Lower per-GB pricing from the start
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|---|---|---|
| Pipeline Costs | ✓Start at $0.10 per GB ingested | ○Start at $0.21 per GB ingested |
Cribl Edge costs start at 21 cents per GB, with additional streaming options.
Pipeline Intelligence
Pipelines that identify which data matters
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|---|---|---|
| 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 |
Cribl solutions focus primarily on standard data processing and routing, and have no built-in pipeline intelligence.
Scalability
Scaling that follows your infrastructure
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|---|---|---|
| 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 |
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 and compute for infrastructure management.
Ecosystem and Integrations
Open standards, from any source to any destination
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|---|---|---|
| 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 |
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
Visibility into pipelines and the data in flight
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|---|---|---|
| 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 |
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
Configuration that tunes itself
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|---|---|---|
| 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 |
Cribl pipelines require manual configuration and continual tuning to hold their performance.
