LogDNA vs. OpenSearch

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
LogDNA
Score 7.9 out of 10
N/A
LogDNA headquartered in Mountain View offers their eponymous cloud log management or on-prem/self-hosted log management solution.N/A
OpenSearch
Score 8.4 out of 10
N/A
OpenSearch is an open-source software suite for search, analytics, and observability applications licensed under Apache 2.0. Powered by Apache Lucene and driven by the OpenSearch Project community, OpenSearch offers a vendor-agnostic toolset that can be used to build applications, or as an end-to-end solution, or connected with preferred open-source tools or partner projects.N/A
Pricing
LogDNAOpenSearch
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
LogDNAOpenSearch
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
LogDNAOpenSearch
Best Alternatives
LogDNAOpenSearch
Small Businesses
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Yext
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Score 8.9 out of 10
Medium-sized Companies
Sumo Logic
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Score 8.9 out of 10
Guru
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Score 9.3 out of 10
Enterprises
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Score 8.9 out of 10
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Score 9.3 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
LogDNAOpenSearch
Likelihood to Recommend
10.0
(2 ratings)
8.0
(1 ratings)
Support Rating
10.0
(1 ratings)
-
(0 ratings)
User Testimonials
LogDNAOpenSearch
Likelihood to Recommend
LogDNA
Anytime we need to make any kind of log on any platform that we use, LogDNA is well suited. It is primarily used for logging errors on our server but also used for checking issues within our iOS apps when we need to identify a critical issue that is occurring. The search feature is very very good!
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Open Source
OpenSearch Service presents a cost-effective pricing model, allowing users to pay solely for their usage without being burdened by minimum fees or upfront commitments. Its seamless integration with various AWS services enhances its adaptability for a wide range of data analysis requirements and also I love using it isn't it enough.
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Pros
LogDNA
  • The UI is simple to use and hasn't ever been confusing for anyone to use on our team.
  • Backups are great since we do occasionally need to access logs from the past and it has helped us solve some problems.
  • Searching/filtering is great and I've always been able to get exactly what I need.
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Open Source
  • Gives us millisecond response times
  • Mainly open-source
  • Integration Seamlessly with AWS
  • Has a very big community so problems are fixes sooner then later
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Cons
LogDNA
  • There isn't really much I would change
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Open Source
  • Needs more descriptive documentation
  • The UI feels a bit old
  • Some functionality still doesn't work correctly
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Support Rating
LogDNA
It is very very good. They are responsive and very helpful. They also take the time to walk you through the issues you are having. But honestly, it is so straightforward that you rarely need to get support from their team. They are very helpful when you do need their support though.
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Open Source
No answers on this topic
Alternatives Considered
LogDNA
LogDNA was already setup when I started and it is offered through Heroku so that's why it was chosen. It's also cheaper I believe. Compared to Logentries, it does the same thing.
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Open Source
Well as I said, Elastic is behind paywall now and managing OpenSearch through AWS is so seamless that we just love it. It gets updates faster we don't have to manage separate infra and many other settings to work with elastic search and some of the tools that it provides are better then them.
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Return on Investment
LogDNA
  • It has helped a lot when trying to debug issues with customers or internal employees. It's a positive overall because it has saved us a lot of time debugging issues.
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Open Source
  • Well we had 200 ms response times which decreased to 100ms while using OpenSearch
  • Easy to use security plugins we dont need external IAM
  • Super Easy Integration with many AWS Services such as kinsesi data stream and dynamoDB
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ScreenShots