Software · head to head
Fluentd vs Coralogix
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; Coralogix no self-hosted option; cloud-only SaaS requiring use of customer's AWS, Azure, or GCP infrastructure
- They diverge on capability: Fluentd covers Log collection, Coralogix covers Log aggregation.
Where they differ
Only the attributes on which Fluentd and Coralogix actually diverge.
Identical on both: starting price (Free), free tier (Yes), 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 Fluentd
- Log collection
- Data parsing
- Filtering and buffering
- Event routing
Only in Coralogix
- Log aggregation
- Machine learning analytics
- Alerts
- Distributed tracing
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.
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
Coralogix
- Enterprises requiring infinite log retention across logs, metrics, and tracesnot Fluentd
- Organizations with cross-signal correlation needs (logs, metrics, traces unified)not 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
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
Pricing, plan by plan
Fluentd
Free- FreeFree
- Log collection
- Data parsing
- Filtering and buffering
Coralogix
FreeNo published plan breakdown. See the Coralogix review.
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 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.
Questions people ask
- Is Fluentd or Coralogix better?
- Neither clearly leads. Fluentd starts at Free and Coralogix at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Fluentd or Coralogix?
- Fluentd starts at Free and Coralogix at Free.
- Does Fluentd or Coralogix run on more platforms?
- Fluentd runs on Web, Api. Coralogix runs on Cloud-hosted (AWS, Azure, GCP).
- 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 Coralogix is typically brought in for.
- What can Fluentd do that Coralogix cannot?
- Fluentd covers Log collection, Data parsing, Filtering and buffering, Event routing. Coralogix covers Log aggregation, Machine learning analytics, Alerts, Distributed tracing. Both handle API, Webhooks, REST, Web support.