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Elastic Cloud (Elasticsearch Service) vs Sysdig Open Source comparison

 

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Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Elastic Cloud (Elasticsearc...
Average Rating
8.4
Number of Reviews
4
Ranking in other categories
Indexing and Search (10th)
Sysdig Open Source
Average Rating
0.0
Number of Reviews
0
Ranking in other categories
AWS Marketplace (240th)
 

Featured Reviews

Mahir Selek - PeerSpot reviewer
Data Scientist at a educational organization with 5,001-10,000 employees
Chatbot has handled large PDF search workloads and provides clear dashboards for daily work
Because I am pursuing a PhD and work under the university, my university has an agreement with AWS, which makes it essentially free and easier to use. In the AWS ecosystem, everything is connected and I can control everything without uncertainty about what is happening behind the scenes. However, when using Elastic Cloud (Elasticsearch Service), I connected it to Google Cloud but I am paying separate receipts. Over the last two months in October and November, I paid two separate invoices that are not connected to Google Cloud, which I did not appreciate. Google Cloud has a nice interface that gives me full control of pricing and billing. I can see daily, weekly, and monthly breakdowns with bar charts, and I can track exactly how much I spent during any period. Elastic Cloud (Elasticsearch Service) does not have such a tool for billing visibility. Since I am handling significant amounts of money and am responsible for this task within my company, I have high expectations for pricing and billing transparency. I would appreciate the ability to set a spending limit, such as uploading 200 euros, and receive notifications when reaching 50% of that limit. These notifications could appear on the dashboard, in the application, or via email. It would be valuable to see a timeline of my spending. I would characterize the pricing as somewhat expensive. I did not use competitors extensively, so I may have a bias about this. The pricing of large language models is not expensive—I use Anthropic's Claude or Google's Gemini, which are state-of-the-art models. However, I am uncertain whether I have a bias about Elastic Cloud (Elasticsearch Service) pricing. It is not extraordinarily expensive, but when I compare it with the cost of using large language models or Google Cloud storage, it is quite expensive. A couple of days ago, the Elastic team reached out to me. We have been regularly using the service since April, and 10 days ago at the beginning of December, I deleted my hosted deployments because I did not like the idea of paying when I am not actively using Elastic Cloud (Elasticsearch Service). They informed me that there is a serverless option available. Before Christmas, I want to try it to see how it works, as I am uncertain about the serverless concept and whether it will provide the same functionality that I use with the hosted deployment.
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Questions from the Community

What needs improvement with Elastic Cloud (Elasticsearch Service)?
Machine learning might be expensive for customers. Customers take advantage of Elastic being open source, but machine learning is not available in the open source version. If a customer is using th...
What is your primary use case for Elastic Cloud (Elasticsearch Service)?
I developed a chatbot with text summarization and question answering capabilities. I need to summarize multiple PDFs, and I have a database in Google Cloud Storage where I perform keyword matching ...
What advice do you have for others considering Elastic Cloud (Elasticsearch Service)?
Some of my customers utilize Elastic Cloud (Elasticsearch Service), especially in the private sector, but most of the government sector do not use it. Elastic Cloud (Elasticsearch Service) performs...
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Overview

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Find out what your peers are saying about Elastic, Luigi's Box, OpenText and others in Indexing and Search. Updated: January 2026.
881,733 professionals have used our research since 2012.