Software · head to head
Fluentd vs Elasticsearch Service
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; Elasticsearch Service the 99.95 percent monthly uptime SLA applies only to the Platinum and Enterprise subscription tiers
- They diverge on capability: Fluentd covers Log collection, Elasticsearch Service covers Full-text search.
Where they differ
Only the attributes on which Fluentd and Elasticsearch Service actually diverge.
| Attribute | Fluentd | Elasticsearch Service |
|---|---|---|
| Pricing model | open-source | usage-based |
Identical on both: starting price (Free), free tier (Yes), platforms (Web, Api), user rating (Not yet rated), category (Unknown), founded (2011).
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 Elasticsearch Service
- Full-text search
- Scalability
- High availability
- Security
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 Elasticsearch Service
- Parsing and transforming log records before forwardingnot Elasticsearch Service
- Aggregating logs from containers into Elasticsearch, S3 or a SIEMnot Elasticsearch Service
Elasticsearch Service
- Managed Elasticsearch without running the clusternot Fluentd
- Log and observability data storage and searchnot Fluentd
- Full-text search behind an applicationnot Fluentd
- Deployments needing a specific cloud region across AWS, Azure or GCPnot 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
Elasticsearch Service
- The 99.95 percent monthly uptime SLA applies only to the Platinum and Enterprise subscription tiers
- Serverless does not yet support traffic filtering, cross-project search or bring-your-own-key encryption
- Serverless runs on AWS, GCP and Azure only, against 60 regions for the hosted option
- Per-unit prices are not published; hosted is resource-based and serverless usage-based
Pricing, plan by plan
Fluentd
Free- FreeFree
- Log collection
- Data parsing
- Filtering and buffering
Elasticsearch Service
Free- FreeFree
- Full-text search
- Scalability
- High availability
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 Elasticsearch Service if
- You need full-text search.
- You want to start without paying.
- You work on Web, Api.
- You also want scalability.
Questions people ask
- Is Fluentd or Elasticsearch Service better?
- Neither clearly leads. Fluentd starts at Free and Elasticsearch Service at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Fluentd or Elasticsearch Service?
- Fluentd starts at Free and Elasticsearch Service at Free.
- Does Fluentd or Elasticsearch Service run on more platforms?
- Both run on Web, Api, so platform support will not decide this one for you.
- 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 Elasticsearch Service is typically brought in for.
- What can Fluentd do that Elasticsearch Service cannot?
- Fluentd covers Log collection, Data parsing, Filtering and buffering, Event routing. Elasticsearch Service covers Full-text search, Scalability, High availability, Security. Both handle API, Webhooks, REST, Web support.
Related pages
More on Elasticsearch Service
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