Enterprise Fluentd vs. Logstash

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Enterprise Fluentd
Score 8.8 out of 10
Enterprise companies (1,001+ employees)
Used by Microsoft, Amazon, Google, and many more, Fluentd was invented by Treasure Data to easily collect, parse, and deliver massive amounts of data from applications, infrastructure, network devices, and log files. Enterprise Fluentd expands on that original vision and brings enterprise-grade security, stable connectivity to critical backend systems, and support for logging infrastructure. Enterprise Fluentd addresses enterprise requirements such as Trusted Packaging, Security, Certified…N/A
Logstash
Score 8.0 out of 10
N/A
N/AN/A
Pricing
Enterprise FluentdLogstash
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Enterprise FluentdLogstash
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details——
More Pricing Information
Community Pulse
Enterprise FluentdLogstash
Considered Both Products
Enterprise Fluentd

No answer on this topic

Logstash
Chose Logstash
Logstash can be compared to other ETL frameworks or tools, but it is also complementary to several, for example, Kafka. I would not only suggest using Logstash when the rest of the ELK stack is available, but also for a self-hosted event collection pipeline for various …
Top Pros

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Top Cons

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Best Alternatives
Enterprise FluentdLogstash
Small Businesses
SolarWinds Papertrail
SolarWinds Papertrail
Score 8.9 out of 10
SolarWinds Papertrail
SolarWinds Papertrail
Score 8.9 out of 10
Medium-sized Companies
PRTG
PRTG
Score 8.9 out of 10
PRTG
PRTG
Score 8.9 out of 10
Enterprises
PRTG
PRTG
Score 8.9 out of 10
PRTG
PRTG
Score 8.9 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Enterprise FluentdLogstash
Likelihood to Recommend
9.0
(1 ratings)
10.0
(3 ratings)
User Testimonials
Enterprise FluentdLogstash
Likelihood to Recommend
Arm Treasure Data
Enterprise Fluentd is a classic solution that manages data, which allows the business to get information from various sources and connect it to conduct a comprehensive analytical procedure. More so, Enterprise Fluentd has the security part, which is specific and friendly in controlling all the systems. Finally, Enterprise Fluentd is strategic, and it uses AI for high performance.
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Elastic
Perfect for projects where Elasticsearch makes sense: if you decide to employ ES in a project, then you will almost inevitably use LogStash, and you should anyways. Such projects would include: 1. Data Science (reading, recording or measure web-based Analytics, Metrics) 2. Web Scraping (which was one of our earlier projects involving LogStash) 3. Syslog-ng Management: While I did point out that it can be a bit of an electric boo-ga-loo in finding an errant configuration item, it is still worth it to implement Syslog-ng management via LogStash: being able to fine-tune your log messages and then pipe them to other sources, depending on the data being read in, is incredibly powerful, and I would say is exemplar of what modern Computer Science looks like: Less Specialization in mathematics, and more specialization in storing and recording data (i.e. Less Engineering, and more Design).
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Pros
Arm Treasure Data
No answers on this topic
Elastic
  • Logstash design is definitely perfect for the use case of ELK. Logstash has "drivers" using which it can inject from virtually any source. This takes the headache from source to implement those "drivers" to store data to ES.
  • Logstash is fast, very fast. As per my observance, you don't need more than 1 or 2 servers for even big size projects.
  • Data in different shape, size, and formats? No worries, Logstash can handle it. It lets you write simple rules to programmatically take decisions real-time on data.
  • You can change your data on the fly! This is the CORE power of Logstash. The concept is similar to Kafka streams, the difference being the source and destination are application and ES respectively.
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Cons
Arm Treasure Data
No answers on this topic
Elastic
  • Since it's a Java product, JVM tuning must be done for handling high-load.
  • The persistent queue feature is nice, but I feel like most companies would want to use Kafka as a general storage location for persistent messages for all consumers to use. Using some pipeline of "Kafka input -> filter plugins -> Kafka output" seems like a good solution for data enrichment without needing to maintain a custom Kafka consumer to accomplish a similar feature.
  • I would like to see more documentation around creating a distributed Logstash cluster because I imagine for high ingestion use cases, that would be necessary.
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Alternatives Considered
Arm Treasure Data
No answers on this topic
Elastic
MongoDB and Azure SQL Database are just that: Databases, and they allow you to pipe data into a database, which means that alot of the log filtering becomes a simple exercise of querying information from a DBMS. However, LogStash was chosen for it's ease of integration into our choice of using ELK Elasticsearch is an obvious inclusion: Using Logstash with it's native DevOps stack its really rational
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Return on Investment
Arm Treasure Data
  • Authentic data collection brings accuracy in the operations of the company.
  • Diverse data sourcing brings inclusive results.
  • Coordination among different systems allows companies to remain competitive.
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Elastic
  • Positive: Learning curve was relatively easy for our team. We were up and running within a sprint.
  • Positive: Managing Logstash has generally been easy. We configure it, and usually, don't have to worry about misbehavior.
  • Negative: Updating/Rehydrating Logstash servers have been little challenging. We sometimes even loose data while Logstash is down. It requires more in-depth research and experiments to figure the fine-grained details.
  • Negative: This is now one more application/skill/server to manage. Like any other servers, it requires proper grooming or else you will get in trouble. This is also a single point of failure which can have the ability to make other servers useless if it is not running.
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ScreenShots

Enterprise Fluentd Screenshots

Screenshot of Screenshot of Enterprise Fluentd manager configurationsScreenshot of Enterprise Fluentd Manager SourcesScreenshot of Enterprise Fluentd Kafka Producer ConfigurationScreenshot of Enterprise Fluentd Manager DashboardScreenshot of Enterprise Fluentd Manager Outputs