Amazon OpenSearch Service vs Graylog comparison

Amazon OpenSearch Service

Read 18 Graylog reviews

9,650 Views
8,360 Comparison Views

94% willing to recommend

Comparison Buyer's Guide

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Executive SummaryUpdated on Oct 9, 2024

Graylog and Amazon OpenSearch Service both compete in the log management and analytics platform category. Graylog holds an advantage in cost-effectiveness and ease of use, while Amazon OpenSearch Service excels in scalability and integration, appealing to large-scale deployments.

Features: Graylog is recognized for its efficient search capabilities, custom dashboard options, and ease of use. Amazon OpenSearch Service stands out with advanced analytics, seamless integration with AWS, and scalability.

Room for Improvement: Graylog needs to improve scalability, documentation, and support for larger environments. Amazon OpenSearch Service requires enhancements in ease of configuration, resource consumption, and simplifying the configuration process.

Ease of Deployment and Customer Service: Graylog offers straightforward deployment with responsive customer service, making implementation easy. Amazon OpenSearch Service provides flexible deployment options but has mixed feedback on customer support responsiveness, with a focus on deployment scalability.

Pricing and ROI: Graylog is cost-effective, offering positive ROI feedback and attracting budget-conscious users. Amazon OpenSearch Service is perceived as pricier, justified by its rich feature environment, and favored by users who value AWS integration.

To learn more, read our detailed Amazon OpenSearch Service vs. Graylog Report (Updated: October 2024).

Amazon OpenSearch Service vs. Graylog

October 2024

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Helped 816,406 peers since 2012

Categories and Ranking

Amazon OpenSearch Service

Ranking in Log Management

47th

Average Rating

7.4

Reviews Sentiment

7.3

Number of Reviews

Ranking in other categories

Application Performance Monitoring (APM) and Observability (54th)

Graylog

Ranking in Log Management

17th

Average Rating

8.0

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Featured Reviews

VijayKumar27

Software Engineer at The American College

Effective as a vector store, serverless architecture but there aren't enough security features

The pricing aspect is a concern. The service is way too costly. For the past month, I used only 30 to 40 MB of data, and the cost was $500. AWS could improve pricing. Even being serverless, it incurs charges during idle times. For just holding data, you need to create a list. AWS should add an option to make data idle, so it won't include computing charges. They charge for OCU units based on the time the serverless solution is up, not on indexing or retrieval speed. Once the service starts, it starts getting billed. It would help if there were an option to limit computing. When using it as a database, storing data without frequent fetching would save computing costs.

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Nicolae CIornii

Security Officer at BC Energbank S.A.

Stable solution with room for improvement in interactivity and user-friendliness

We have tested IBM QRadar and now use it. First of all, the key factor is the pricing. I saw that IBM QRadar has an interactive dashboard, providing valuable insights to people. Additionally, I've seen that IBM QRadar has an agent that simplifies installations across various platforms without requiring intricate configurations. Also, IBM QRadar has automatic reporting.

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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

"This service already sorts data like vectors. They have classified the storage pre-defined."

"Amazon OpenSearch Service has enhanced our organization's ability to store and search large amounts of data efficiently."

"Amazon OpenSearch Service provides a managed database solution, so we don't need to manage everything ourselves."

"We retrieve historical data with just a click of a button to move it from cold to hot or warm because it's already stored in the backend storage"

"Graylog's search functionality, alerting functionality, user management, and dashboards are useful."

"I am very proud of how very stable the solution is."

"We have scaled from a single machine installation (a VM with a Graylog + ES + MongoDB) to (2 Graylog + 2 ES + 3 MongoDB). This was done smoothly with a minimal impact on logging."

"The product is scalable. The solution is stable."

"Storing logs in Elasticsearch means log retrieval is extremely fast, and full text search is available by default."

"Real-time UDP/GELF logging and full text-based searching."

"It is used as a log manager/SIEM. It provides visibility into the infrastructure and security related events."

"Message forwarding through the in-built module."

More Graylog pros

Cons

"It would be beneficial to have some level of customization available in the managed service, tailored to the specific use cases of the end users."

"One improvement I would like to see is support for auto-scaling."

"The pricing aspect is a concern. The service is way too costly. For the past month, I used only 30 to 40 MB of data, and the cost was $500. AWS could improve pricing."

"There should be some user groups and an auto sign-in feature."

"I would like to see some kind of visualization included in Graylog."

"Since container orchestration systems are popular and Graylog fits the niche well, perhaps they could officially support running in docker containers on Kubernetes as a StatefulSet as a use case. That way, the declarative nature of Kubernetes config files would document their best case deployment scenario-"

"The infrastructure cost is the main issue. I like the rest. If the infrastructure costs could be lower, it would be fantastic."

"Over six months, I had two similar issues where searches were performed on field "messages". It exhausted all the memory of the ES node causing an ES crash and a Graylog halt."

"I hope to see improvements in Graylog for more interactivity, user-friendliness, and creating alerts. The initial setup is complex."

"With technical support, you are on your own without an enterprise license."

"Graylog can improve the index rotation as it's quite a complex solution."

More Graylog cons

Pricing and Cost Advice

Information not available

"It's an open-source solution that can be used free of charge."

"Consider Enterprise support if you have atypical needs or setup requirements."

"If you want something that works and do not have the money for Splunk or QRadar, take Graylog."

"You get a lot out-of-the-box with the non-enterprise version, so give it a try first."

"We're using the Community edition."

"We are using the free version of the product. However, the paid version is expensive."

"I use the free version of Graylog."

"Graylog is a free open-source solution. The free version has a capacity limitation of 2 GB daily, if you want to go above this you have to purchase a license."

More Graylog pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

17%

Computer Software Company

11%

Manufacturing Company

Government

Computer Software Company

17%

Comms Service Provider

Government

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What do you like most about Amazon OpenSearch Service?

We retrieve historical data with just a click of a button to move it from cold to hot or warm because it's already stored in the backend storage

What is your experience regarding pricing and costs for Amazon OpenSearch Service?

The pricing is way too costly. I used it for around 40 MB of data for a month, and it cost $500. Even when idle, it continues to incur charges. They could improve this by allowing us to limit compu...

What needs improvement with Amazon OpenSearch Service?

What do you like most about Graylog?

The product is scalable. The solution is stable.

What is your experience regarding pricing and costs for Graylog?

We are using the free version of the product. However, the paid version is expensive.

What needs improvement with Graylog?

Since it's a free tool, I don't have much to say. Troubleshooting is important to me. The initial setup is complex. I hope to see improvements in Graylog for more interactivity, user-friendliness, ...

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Product Reports

Application Performance Monitoring (APM) and Observability

November 2024

Download Amazon OpenSearch Service product report

Download Graylog product report

November 2024

Also Known As

No data available

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Amazon Web Services (AWS)

Overview

Amazon OpenSearch Service is often used for log analysis, real-time application monitoring, and searching large datasets. Users benefit from its scalability, ease of use, and AWS integration, appreciating its capability to handle high data volumes while providing efficient search functionalities.

Many users choose Amazon OpenSearch Service for its powerful search and indexing capabilities, real-time analytics, and strong integration with AWS services. Key highlights include minimal downtime, detailed documentation, and efficient data processing. Scalability and automatic scaling are standout features, enabling users to manage high data volumes seamlessly. However, there is a call for improved integration, enhanced stability, and better support. Some users find the setup and configuration process challenging and desire more customization options for security features.

What are the key features of Amazon OpenSearch Service?

Scalability: Automatically scales to accommodate data growth and workload fluctuations.
Real-Time Analytics: Provides up-to-date insights and monitoring for applications.
Integration with AWS: Easily integrates with other AWS services, enhancing workflows.
Powerful Search Capabilities: Fast and efficient search and indexing functionalities.
Detailed Documentation: Comprehensive guides and resources to assist users.
Security Features: Flexible security options to protect data and manage access.

What benefits should users look for in reviews?

Efficiency: Quick data processing and minimal downtime.
Scalability: Ability to handle increasing data volumes without manual intervention.
Ease of Use: User-friendly interface and management tools.
Reliability: Consistent performance with robust support for data management workflows.
Integration: Seamless integration with existing AWS services and infrastructure.

In industries such as finance, healthcare, and e-commerce, Amazon OpenSearch Service is implemented to manage and analyze large datasets in real time. Companies benefit from its ability to monitor application performance, analyze log data, and enhance search functionalities, leading to improved operational efficiency and decision-making processes.

Graylog is purpose-built to deliver the best log collection, storage, enrichment, and analysis. Graylog is:

Considerably faster analysis speeds.
More robust and easier-to-use analysis platform.
Simpler administration and infrastructure management.
Lower cost than alternatives.
Full-scale customer service.
No expensive training or tool experts required.

Sample Customers

Information Not Available

Blue Cross Blue Shield, eBay, Cisco, LinkedIn, SAP, King.com, Twilio, Deutsche Presse-Agentur