Log Management · head to head
Coralogix vs Fluentd
The short version
- Each has a real cost: Coralogix no self-hosted option; cloud-only SaaS requiring use of customer's AWS, Azure, or GCP infrastructure; Fluentd fluentd needs more than 60 MB of memory at runtime, against roughly 450 KB for Fluent Bit
- They diverge on capability: Coralogix covers Log aggregation, Fluentd covers Log collection.
Where they differ
Only the attributes on which Coralogix and Fluentd actually diverge.
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 Coralogix
- Log aggregation
- Machine learning analytics
- Alerts
- Distributed tracing
Only in Fluentd
- Log collection
- Data parsing
- Filtering and buffering
- Event routing
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.
Coralogix
- Enterprises requiring infinite log retention across logs, metrics, and tracesnot Fluentd
- Organizations with cross-signal correlation needs (logs, metrics, traces unified)not Fluentd
Fluentd
- Unified log collection and routing from many sources to many destinationsnot Coralogix
- Parsing and transforming log records before forwardingnot Coralogix
- Aggregating logs from containers into Elasticsearch, S3 or a SIEMnot Coralogix
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Coralogix
- No self-hosted option; cloud-only SaaS requiring use of customer's AWS, Azure, or GCP infrastructure
- Pricing is purely usage-based per GB with no flat-rate subscription option; suitable for unpredictable workloads but no cost ceiling
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
Pricing, plan by plan
Coralogix
FreeNo published plan breakdown. See the Coralogix review.
Fluentd
Free- FreeFree
- Log collection
- Data parsing
- Filtering and buffering
Which should you pick?
Choose Coralogix if
- You need log aggregation.
- You want to start without paying.
- You work on Cloud-hosted (AWS, Azure, GCP).
- You also want machine learning analytics.
Choose Fluentd if
- You need log collection.
- You want to start without paying.
- You work on Web, Api.
- You also want data parsing.
Questions people ask
- Is Coralogix or Fluentd better?
- Neither clearly leads. Coralogix starts at Free and Fluentd at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Coralogix or Fluentd?
- Coralogix starts at Free and Fluentd at Free.
- Does Coralogix or Fluentd run on more platforms?
- Coralogix runs on Cloud-hosted (AWS, Azure, GCP). Fluentd runs on Web, Api.
- Can I use Coralogix for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Coralogix best used for?
- Coralogix is most often used for enterprises requiring infinite log retention across logs, metrics, and traces, organizations with cross-signal correlation needs (logs, metrics, traces unified). Of those, enterprises requiring infinite log retention across logs, metrics, and traces and organizations with cross-signal correlation needs (logs, metrics, traces unified) are not what Fluentd is typically brought in for.
- What can Coralogix do that Fluentd cannot?
- Coralogix covers Log aggregation, Machine learning analytics, Alerts, Distributed tracing. Fluentd covers Log collection, Data parsing, Filtering and buffering, Event routing. Both handle API, Webhooks, REST, Web support.