Docker on Amazon 2023 vs Elastic Cloud (Elasticsearch Service) comparison

The compared Supported Images and Elastic solutions aren't in the same category. Supported Images is ranked #8 in DP , with an average rating of 9.0. Elastic is ranked #11 in IS , with an average rating of 8.3. Additionally, 100% of Supported Images users are willing to recommend the solution, compared to 100% of Elastic users who would recommend it.

Docker on Amazon 2023

Read 1 Docker on Amazon 2023 review

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47 Comparison Views

100% willing to recommend

Elastic Cloud (Elasticsearc...

Read 4 Elastic Cloud (Elasticsearch Service) reviews

326 Views
75 Comparison Views

100% willing to recommend

Docker on Amazon 2023

Elastic Cloud (Elasticsearc...

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Executive Summary

We performed a comparison between Docker on Amazon 2023 and Elastic Cloud (Elasticsearch Service) based on real PeerSpot user reviews.

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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

Docker on Amazon 2023

Average Rating

9.0

Number of Reviews

Ranking in other categories

Development Platforms (8th)

Elastic Cloud (Elasticsearc...

Average Rating

8.4

Number of Reviews

Ranking in other categories

Indexing and Search (11th)

Featured Reviews

Daniel Vera

Business Architecture Senior Analyst at Accenture

Application containerization facilitates seamless cross-platform functionality

In my opinion, one of the best features with Docker on Amazon 2023 is that it's easy for transport; you can use your application on other operating systems. If you always have the container runtime, you can use your application at all times on each computer. By each computer, this means on each operating system.

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Mahir Selek

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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Quotes from Members

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

Pros

"In my opinion, one of the best features with Docker on Amazon 2023 is that it's easy for transport; you can use your application on other operating systems."

"Scalability is valuable to me, as I have 50,000 PDF JSON files that contain my metadata, and I am really glad to use Elastic Cloud (Elasticsearch Service) for this volume without any issues."

"Elastic Cloud (Elasticsearch Service) is a wonderful solution for seamless implementation and maintaining its health."

"Elastic Cloud (Elasticsearch Service) has positively impacted my organization by allowing us to move away from expensive services such as DataDog and gives us about the same level of service while allowing us to keep data for a longer period of time at a cheaper price."

"There have been quite a lot of good outcomes since using Elastic Cloud (Elasticsearch Service); customers have been able to use their data much faster and more effectively, and it definitely stands as one of the best observability platforms."

Cons

"They could incorporate AI for researching vulnerabilities and for the resolution of the vulnerabilities."

"Sometimes it gets tricky to navigate through the user manuals because there are different forms of links."

"The logging feature of Elastic Cloud (Elasticsearch Service) itself is pretty valuable, but we tried the observability module and some of the AI features. Those need improvement."

"Machine learning might be expensive for customers."

"I would characterize the pricing as somewhat expensive. 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."

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Top Industries

By visitors reading reviews

Construction Company

61%

Comms Service Provider

16%

Healthcare Company

Manufacturing Company

Construction Company

29%

Computer Software Company

14%

Educational Organization

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What needs improvement with Docker on Amazon 2023?

They could incorporate AI for researching vulnerabilities and for the resolution of the vulnerabilities.

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What is your primary use case for Docker on Amazon 2023?

The use case for Docker on Amazon 2023 is when you have an application and need to containerize it. You can create a Dockerfile, which is a file with instructions about what you need for your conta...

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What advice do you have for others considering Docker on Amazon 2023?

This solution deserves a rating of 9 out of 10.

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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...

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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 ...

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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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Comparisons

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Overview

Information not available

Supported Images

Elastic Cloud (Elasticsearch Service) provides a managed platform for Elasticsearch, offering flexibility and scalability to handle search, logging, and analytics use cases efficiently, enhancing data-driven decision-making processes.

As a managed service, Elastic Cloud (Elasticsearch Service) simplifies running and scaling Elasticsearch by automating setup and management tasks, reducing the overhead related to infrastructure maintenance. It supports a variety of use cases such as real-time search, log analytics, and observability, helping businesses gain valuable insights quickly and efficiently. With flexible deployment options including public cloud availability across major providers, it ensures seamless integration with existing workflows, while offering a high level of security and compliance.

What features are offered by Elastic Cloud (Elasticsearch Service)?

Managed Infrastructure: Automates tasks like provisioning and scaling, reducing manual workload.
Scalability: Effortlessly handles growing data volumes with high performance.
Security Features: Protects data with built-in encryption and access control.
Performance Optimization: Includes features for query tuning and caching to enhance response times.
Integration Support: Connects seamlessly with numerous data sources and analytics tools.

What ROI or benefits should you consider?

Cost Efficiency: Reduces operational costs by minimizing infrastructure management overhead.
Improved Analytics: Enables real-time insights and data-driven actions through fast data processing capabilities.
Resource Savings: Frees up IT resources through automation and easy scalability, allowing focus on innovation.
Reliable Performance: Consistently delivers high availability and fault tolerance for critical applications.

Elastic Cloud (Elasticsearch Service) plays a significant role in industries such as e-commerce for personalized search experiences, finance for fraud detection through log analytics, and healthcare for comprehensive data search capabilities, emphasizing its versatility and sector-specific adaptability.

Elastic

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