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Logging · head to head

Dynatrace Logs vs InfluxDB

Dynatrace Logs logo

Dynatrace Logs

Logging

Intelligent Log Analytics and Management

From
Free
Rated
-
InfluxDB logo

InfluxDB

Logging

Purpose-built time series database for metrics and events

From
Free
Rated
-

The short version

  • Each has a real cost: Dynatrace Logs log ingest and processing is billed at $0.20 per GiB, separately from retention and from query; InfluxDB high-cardinality data causes memory pressure and performance degradation
  • They diverge on capability: Dynatrace Logs covers Log analysis, InfluxDB covers Time-series Storage.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Dynatrace Logs and InfluxDB actually diverge.

Attributes where Dynatrace Logs and InfluxDB differ
AttributeDynatrace LogsInfluxDB
Pricing modelsubscriptionUnknown
PlatformsWeb, ApiCloud, Docker, Linux, macOS, Windows, AWS, Google Cloud, Azure
Founded20052012

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Logging).

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 Dynatrace Logs

  • Log analysis
  • AI-powered insights
  • Metrics integration
  • Automated root cause
  • API
  • Webhooks
  • REST
  • Api support

Only in InfluxDB

  • Time-series Storage
  • Flux Query Language
  • High Write Throughput
  • Data Compression
  • Retention Policies
  • Continuous Queries
  • Built-in Dashboards
  • Telegraf

Both cover

  • Web support

What people use each for

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

Dynatrace Logs

  • Ingesting and processing application and infrastructure logsnot InfluxDB
  • Querying logs alongside traces and metrics in one platformnot InfluxDB
  • Log driven alerting within an existing Dynatrace deploymentnot InfluxDB

InfluxDB

  • Monitoringnot Dynatrace Logs
  • IoT datanot Dynatrace Logs
  • Financial datanot Dynatrace Logs
  • Log analyticsnot Dynatrace Logs
  • Observabilitynot Dynatrace Logs

Where each one falls short

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

Dynatrace Logs

  • Log ingest and processing is billed at $0.20 per GiB, separately from retention and from query
  • Querying logs is charged in addition to ingest, either pay per query or as bundled queries
  • Log analytics requires the same annual platform commitment as the rest of the Dynatrace platform

InfluxDB

  • High-cardinality data causes memory pressure and performance degradation
  • No support for joins or transactions like relational databases
  • Queries limited to 72-hour window in InfluxDB 3 OSS Core
  • Clustering and authentication features absent from community version

Pricing, plan by plan

Dynatrace Logs

Free
  • FreeFree
    • Log analysis
    • AI-powered insights
    • Metrics integration

InfluxDB

Free
  • Cloud Serverless FreeFree
    • 5 MB writes per 5 minutes
    • 300 MB queries per 5 minutes
    • 30 day retention
  • Cloud Serverless Usage-Based$undefined/mo
    • 0.0025 USD per MB ingested
    • 0.012 USD per 100 queries
    • 0.002 USD per GB-hour storage

Which should you pick?

Choose Dynatrace Logs if

  • You need log analysis.
  • You want to start without paying.
  • You work on Web, Api.
  • You also want ai-powered insights.

Choose InfluxDB if

  • You need time-series storage.
  • You want to start without paying.
  • You work on Cloud, Docker, Linux, macOS, Windows, AWS, Google Cloud, Azure.
  • You also want flux query language.

Questions people ask

Is Dynatrace Logs or InfluxDB better?
Neither clearly leads. Dynatrace Logs starts at Free and InfluxDB at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Dynatrace Logs or InfluxDB?
Dynatrace Logs starts at Free and InfluxDB at Free.
Does Dynatrace Logs or InfluxDB run on more platforms?
Dynatrace Logs runs on Web, Api. InfluxDB runs on Cloud, Docker, Linux, macOS, Windows, AWS, Google Cloud, Azure.
Can I use Dynatrace Logs for free?
Both have a free tier, so you can try either at no cost before committing.
What is Dynatrace Logs best used for?
Dynatrace Logs is most often used for ingesting and processing application and infrastructure logs, querying logs alongside traces and metrics in one platform, log driven alerting within an existing dynatrace deployment. Of those, ingesting and processing application and infrastructure logs and querying logs alongside traces and metrics in one platform are not what InfluxDB is typically brought in for.
What can Dynatrace Logs do that InfluxDB cannot?
Dynatrace Logs covers Log analysis, AI-powered insights, Metrics integration, Automated root cause. InfluxDB covers Time-series Storage, Flux Query Language, High Write Throughput, Data Compression. Both handle Web support.

Answered from the vendors’ own pages

InfluxDB: Is there a free tier and what are the limits?

InfluxDB 3 Core OSS is free forever for local development and prototyping. Cloud Serverless free tier includes 5 MB writes per 5 minutes, 300 MB queries per 5 minutes, 30 day retention, and 2 databases.

Source
InfluxDB: Can I self-host InfluxDB?

Yes, InfluxDB 3 Core is fully open source and can be self-hosted with no license required. InfluxDB 3 Enterprise is self-managed and includes a 30-day free trial.

Source
InfluxDB: What are the series cardinality limitations?

InfluxDB is sensitive to high-cardinality data. High cardinality increases RAM usage and can trigger out-of-memory errors, making it unsuitable for some workloads with many unique tag combinations.

Source
InfluxDB: Does InfluxDB support SQL queries?

InfluxDB has limited SQL support. Full SQL is available in InfluxDB 3, but earlier versions support only specific SQL commands and use InfluxQL as the primary query language.

Source
InfluxDB: Can I export my data from InfluxDB?

Yes, data can be exported from InfluxDB using query results. However, the process and supported formats depend on the version and deployment type you are using.

Source
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