Software · head to head
Elasticsearch Service vs Fluentd
The short version
- Each has a real cost: Elasticsearch Service the 99.95 percent monthly uptime SLA applies only to the Platinum and Enterprise subscription tiers; Fluentd fluentd needs more than 60 MB of memory at runtime, against roughly 450 KB for Fluent Bit
- They diverge on capability: Elasticsearch Service covers Full-text search, Fluentd covers Log collection.
Where they differ
Only the attributes on which Elasticsearch Service and Fluentd actually diverge.
| Attribute | Elasticsearch Service | Fluentd |
|---|---|---|
| Pricing model | usage-based | open-source |
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 Elasticsearch Service
- Full-text search
- Scalability
- High availability
- Security
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.
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
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
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
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
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
Elasticsearch Service
Free- FreeFree
- Full-text search
- Scalability
- High availability
Fluentd
Free- FreeFree
- Log collection
- Data parsing
- Filtering and buffering
Which should you pick?
Choose Elasticsearch Service if
- You need full-text search.
- You want to start without paying.
- You work on Web, Api.
- You also want scalability.
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 Elasticsearch Service or Fluentd better?
- Neither clearly leads. Elasticsearch Service 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, Elasticsearch Service or Fluentd?
- Elasticsearch Service starts at Free and Fluentd at Free.
- Does Elasticsearch Service or Fluentd run on more platforms?
- Both run on Web, Api, so platform support will not decide this one for you.
- Can I use Elasticsearch Service for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Elasticsearch Service best used for?
- Elasticsearch Service is most often used for managed elasticsearch without running the cluster, log and observability data storage and search, full-text search behind an application, deployments needing a specific cloud region across aws, azure or gcp. Of those, managed elasticsearch without running the cluster and log and observability data storage and search are not what Fluentd is typically brought in for.
- What can Elasticsearch Service do that Fluentd cannot?
- Elasticsearch Service covers Full-text search, Scalability, High availability, Security. Fluentd covers Log collection, Data parsing, Filtering and buffering, Event routing. Both handle API, Webhooks, REST, Web support.
Related pages
More on Elasticsearch Service
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