Softwr

Software · head to head

Datadog Logs vs Vector

Datadog Logs logo

Datadog Logs

Software

Log Management and Analytics

From
$0.1/per GB ingested per month
Rated
-
Full reviewWebsite
Vector logo

Vector

Software

A Lightweight and Ultra-Fast Tool for Building Observability Pipelines

From
Free
Rated
-
Full reviewWebsite

The short version

  • Only Vector has a free tier, so it costs nothing to try first.
  • Each has a real cost: Datadog Logs complex, multi-tiered pricing model based on ingestion, indexing, and storage; can become expensive at scale; 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: Datadog Logs covers Log ingestion, Vector covers Log collection.

Where they differ

Only the attributes on which Datadog Logs and Vector actually diverge.

Attributes where Datadog Logs and Vector differ
AttributeDatadog LogsVector
Starting price$0.1/per GB ingested per monthFree
Pricing modelusage-basedopen-source
Free tierNoYes
PlatformsCloud (AWS, Azure, Google Cloud, Oracle Cloud)Web, Api
Founded20102019

Identical on both: user rating (Not yet rated), category (Unknown).

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 Datadog Logs

  • Log ingestion
  • Full-text search
  • Custom dashboards
  • Log-based metrics

Only in Vector

  • Log collection
  • Metrics collection
  • Trace collection
  • Event transformation

Both cover

  • API
  • Webhooks
  • REST
  • Web support
  • Api support

What people use each for

The jobs each tool is most often brought in to do.

Datadog Logs

  • Centralised log aggregation and analysisnot Vector
  • Multi-source log correlation with metrics and tracesnot Vector
  • Root cause analysis and troubleshootingnot Vector
  • Security monitoring and threat detectionnot Vector

Vector

  • Log monitoringnot Datadog Logs
  • Application performancenot Datadog Logs
  • Security analyticsnot Datadog Logs
  • Troubleshootingnot Datadog Logs

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Datadog Logs

  • Complex, multi-tiered pricing model based on ingestion, indexing, and storage; can become expensive at scale
  • Ingestion pricing of $0.10/GB can accumulate rapidly for high-volume logging environments

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

Datadog Logs

$0.1/per GB ingested per month

No published plan breakdown. See the Datadog Logs review.

Vector

Free
  • FreeFree
    • Log collection
    • Metrics collection
    • Trace collection

Which should you pick?

Choose Datadog Logs if

  • You need log ingestion.
  • You work on Cloud (AWS, Azure, Google Cloud, Oracle Cloud).
  • You also want full-text search.
Datadog Logs review

Choose Vector if

  • You need log collection.
  • You want to start without paying.
  • You work on Web, Api.
  • You also want metrics collection.
Vector review

Questions people ask

Is Datadog Logs or Vector better?
Neither clearly leads. Datadog Logs starts at $0.1/per GB ingested per month and Vector at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Datadog Logs or Vector?
Vector has a free tier; the other does not. Paid plans start at $0.1/per GB ingested per month for Datadog Logs and Free for Vector.
Does Datadog Logs or Vector run on more platforms?
Datadog Logs runs on Cloud (AWS, Azure, Google Cloud, Oracle Cloud). Vector runs on Web, Api.
Can I use Vector for free?
Yes. Vector has a free tier, so you can try it without paying. Datadog Logs starts at $0.1/per GB ingested per month.
What is Datadog Logs best used for?
Datadog Logs is most often used for centralised log aggregation and analysis, multi-source log correlation with metrics and traces, root cause analysis and troubleshooting, security monitoring and threat detection. Of those, centralised log aggregation and analysis and multi-source log correlation with metrics and traces are not what Vector is typically brought in for.
What can Datadog Logs do that Vector cannot?
Datadog Logs covers Log ingestion, Full-text search, Custom dashboards, Log-based metrics. Vector covers Log collection, Metrics collection, Trace collection, Event transformation. Both handle API, Webhooks, REST, Web support.
ShareXLinkedInRedditWhatsAppEmail

Related pages

More on Datadog Logs

More on Vector

Keep looking

Other head to heads