Log Management · head to head
CloudWatch vs Vector

Vector
Log Management
A Lightweight and Ultra-Fast Tool for Building Observability Pipelines
- From
- Free
- Rated
- -
The short version
- Each has a real cost: CloudWatch the free tier covers 5 GB of log ingestion and 10 custom metrics a month, after which log ingestion is $0.50 per GB from 5 to 30 GB; Vector free and open source under the MPL-2.0 license, backed by an open source community with a public GitHub repo
- They diverge on capability: CloudWatch covers Log aggregation, Vector covers Log collection.
Where they differ
Only the attributes on which CloudWatch and Vector actually diverge.
| Attribute | CloudWatch | Vector |
|---|---|---|
| Pricing model | usage-based | open-source |
| Founded | 2006 | 2019 |
Identical on both: starting price (Free), free tier (Yes), platforms (Web, Api), user rating (Not yet rated), category (Log Management).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in CloudWatch
- Log aggregation
- Dashboards
- Alarms and notifications
Only in Vector
- Log collection
- Trace collection
- Event transformation
Both cover
- Metrics collection
- API
- Webhooks
- REST
- Web support
- Api support
What people use each for
The jobs each tool is most often brought in to do.
CloudWatch
- Metrics and log collection for AWS workloadsnot Vector
- Alarming on thresholds across AWS servicesnot Vector
- Querying logs with Logs Insightsnot Vector
- Live tailing logs during an incidentnot Vector
- Distributed tracing alongside X-Raynot Vector
Vector
- Log monitoringnot CloudWatch
- Application performancenot CloudWatch
- Security analyticsnot CloudWatch
- Troubleshootingnot CloudWatch
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
CloudWatch
- The free tier covers 5 GB of log ingestion and 10 custom metrics a month, after which log ingestion is $0.50 per GB from 5 to 30 GB
- Custom metrics are $0.30 each for the first 10,000, so instrumenting broadly gets expensive before volume discounts apply
- Each custom dashboard beyond the free three is $3 a month
- Alarms are billed at $0.10 per alarm metric a month, with high-resolution alarms costing more
- Log storage beyond the free 5 GB is $0.03 per GB per month on top of the ingestion charge
Vector
- Free and open source under the MPL-2.0 license, backed by an open source community with a public GitHub repo
Pricing, plan by plan
CloudWatch
Free- FreeFree
- Metrics collection
- Log aggregation
- Dashboards
Vector
Free- FreeFree
- Log collection
- Metrics collection
- Trace collection
Which should you pick?
Choose CloudWatch if
- You need log aggregation.
- You want to start without paying.
- You work on Web, Api.
- You also want dashboards.
Choose Vector if
- You need log collection.
- You want to start without paying.
- You work on Web, Api.
- You also want trace collection.
Questions people ask
- Is CloudWatch or Vector better?
- Neither clearly leads. CloudWatch starts at Free and Vector at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, CloudWatch or Vector?
- CloudWatch starts at Free and Vector at Free.
- Does CloudWatch or Vector run on more platforms?
- Both run on Web, Api, so platform support will not decide this one for you.
- Can I use CloudWatch for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is CloudWatch best used for?
- CloudWatch is most often used for metrics and log collection for aws workloads, alarming on thresholds across aws services, querying logs with logs insights, live tailing logs during an incident. Of those, metrics and log collection for aws workloads and alarming on thresholds across aws services are not what Vector is typically brought in for.
- What can CloudWatch do that Vector cannot?
- CloudWatch covers Log aggregation, Dashboards, Alarms and notifications. Vector covers Log collection, Trace collection, Event transformation. Both handle Metrics collection, API, Webhooks, REST.
Related pages
Other head to heads
- CloudWatch vs Elastic Stack
- CloudWatch vs New Relic
- CloudWatch vs Datadog Logs
- CloudWatch vs Coralogix
- CloudWatch vs Grafana Loki
- CloudWatch vs Dynatrace
- CloudWatch vs InfluxDB
- CloudWatch vs Airbrake
- CloudWatch vs AppDynamics
- CloudWatch vs Axiom
- CloudWatch vs Azure Monitor
- CloudWatch vs Better Stack
- CloudWatch vs Bugsnag
- CloudWatch vs Dynatrace Logs
- CloudWatch vs Elastic
- CloudWatch vs Elastic APM
- CloudWatch vs Elasticsearch Service
- CloudWatch vs ELK Stack
- Vector vs Elastic Stack
- Vector vs New Relic
- Vector vs Datadog Logs
- Vector vs Coralogix
- Vector vs Grafana Loki
- Vector vs Dynatrace
- Vector vs InfluxDB
- Vector vs Airbrake
- Vector vs AppDynamics
- Vector vs Axiom
- Vector vs Azure Monitor
- Vector vs Better Stack
- Vector vs Bugsnag
- Vector vs Dynatrace Logs
- Vector vs Elastic
- Vector vs Elastic APM
- Vector vs Elasticsearch Service
- Vector vs ELK Stack

