Softwr

Log Management · head to head

Fluentd vs InfluxDB

Fluentd logo

Fluentd

Log Management

Open Source Data Collector for Unified Logging

From
Free
Rated
-
InfluxDB logo

InfluxDB

Log Management

Purpose-built time series database for metrics and events

From
Free
Rated
-

The short version

  • Each has a real cost: Fluentd fluentd needs more than 60 MB of memory at runtime, against roughly 450 KB for Fluent Bit; InfluxDB high-cardinality data causes memory pressure and performance degradation
  • They diverge on capability: Fluentd covers Log collection, InfluxDB covers Time-series Storage.

Where they differ

Only the attributes on which Fluentd and InfluxDB actually diverge.

Attributes where Fluentd and InfluxDB differ
AttributeFluentdInfluxDB
Pricing modelopen-sourceUnknown
PlatformsWeb, ApiCloud, Docker, Linux, macOS, Windows, AWS, Google Cloud, Azure
Founded20112012

Identical on both: starting price (Free), free tier (Yes), 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 Fluentd

  • Log collection
  • Data parsing
  • Filtering and buffering
  • Event routing
  • 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.

Fluentd

  • Unified log collection and routing from many sources to many destinationsnot InfluxDB
  • Parsing and transforming log records before forwardingnot InfluxDB
  • Aggregating logs from containers into Elasticsearch, S3 or a SIEMnot InfluxDB

InfluxDB

  • Monitoringnot Fluentd
  • IoT datanot Fluentd
  • Financial datanot Fluentd
  • Log analyticsnot Fluentd
  • Observabilitynot Fluentd

Where each one falls short

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

Fluentd

  • Fluentd needs more than 60 MB of memory at runtime, against roughly 450 KB for Fluent Bit
  • Fluentd is built as a Ruby gem and depends on other gems, so a Ruby runtime is required
  • Its capability comes from over 1,000 external plugins rather than built in functionality, so each added input or output is a separate dependency
  • The Fluent Bit documentation states that cloud providers have switched from Fluentd to Fluent Bit for performance and compatibility and calls Fluent Bit the next generation solution

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

Fluentd

Free
  • FreeFree
    • Log collection
    • Data parsing
    • Filtering and buffering

InfluxDB

Free
  • Cloud Serverless FreeFree
    • 5 MB writes per 5 minutes
    • 300 MB queries per 5 minutes
    • 30 day retention
  • Cloud Serverless Usage-Based$null/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 Fluentd if

  • You need log collection.
  • You want to start without paying.
  • You work on Web, Api.
  • You also want data parsing.

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 Fluentd or InfluxDB better?
Neither clearly leads. Fluentd 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, Fluentd or InfluxDB?
Fluentd starts at Free and InfluxDB at Free.
Does Fluentd or InfluxDB run on more platforms?
Fluentd runs on Web, Api. InfluxDB runs on Cloud, Docker, Linux, macOS, Windows, AWS, Google Cloud, Azure.
Can I use Fluentd for free?
Both have a free tier, so you can try either at no cost before committing.
What is Fluentd best used for?
Fluentd is most often used for unified log collection and routing from many sources to many destinations, parsing and transforming log records before forwarding, aggregating logs from containers into elasticsearch, s3 or a siem. Of those, unified log collection and routing from many sources to many destinations and parsing and transforming log records before forwarding are not what InfluxDB is typically brought in for.
What can Fluentd do that InfluxDB cannot?
Fluentd covers Log collection, Data parsing, Filtering and buffering, Event routing. 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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