Logstash vs. Snare

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Logstash
Score 7.4 out of 10
N/A
N/AN/A
Snare
Score 10.0 out of 10
N/A
Snare is an IT security analytics suite of applications from Prophecy International headquartered in Adelaide, providing a complete log monitoring and management solution, as well as network threat intelligence.N/A
Pricing
LogstashSnare
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
LogstashSnare
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
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LogstashSnare
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User Ratings
LogstashSnare
Likelihood to Recommend
10.0
(3 ratings)
10.0
(1 ratings)
User Testimonials
LogstashSnare
Likelihood to Recommend
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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Prophecy International
Snare provides compliance products ranging from small footprint, highly effective device, and network logging and log management tools to ID advanced infrastructure threat protection solutions. It has many valued features like activity dashboard, real-time monitoring, data import/export, dashboard creation, and many more. They all help me to improve my working skills It has been a game-changer as it saves a lot of time and I can work freely with this, and whenever I have any doubt the customer support team communicates immediately.
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Pros
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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Prophecy International
  • The tools were very easy to install and it integrates seamlessly with our secure system and prevents deployment.
  • Logging cooperates with our system perfectly.
  • Sending events to SIEM.
  • I have realised that the data collected is going to the centralised detection and prevent solution for analysis and monitoring.
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Cons
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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Prophecy International
  • Nothing really, it has been performing flawlessly.
  • I did not run into any problems.
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Alternatives Considered
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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Prophecy International
No answers on this topic
Return on Investment
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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Prophecy International
  • It has made and positive effect on my work.
  • It has saved me a lot of time for my needs.
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