Amazon OpenSearch Service vs Logz.io comparison

Amazon OpenSearch Service

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Executive SummaryUpdated on Oct 9, 2024

Logz.io and Amazon OpenSearch Service are competitors in log management and analytics. Logz.io seems to have the upper hand in pricing and support, while Amazon OpenSearch Service offers comprehensive features worth the cost.

Features: Logz.io offers out-of-the-box solutions, robust integrations, and intuitive dashboards. Amazon OpenSearch Service provides advanced features like scalability, flexible query options, and complex data analysis capabilities.

Room for Improvement: Logz.io needs enhancements in customization, data retention, and personalization options. Amazon OpenSearch Service could improve its documentation, has a complex setup, and user support infrastructure could be better.

Ease of Deployment and Customer Service: Logz.io has a straightforward deployment process and responsive customer support, suitable for businesses seeking quick implementation. Amazon OpenSearch Service offers advanced deployment options but requires more technical expertise, with users wanting more proactive support.

Pricing and ROI: Logz.io offers competitive setup costs and clear ROI with its usage model, appealing to cost-conscious organizations. Amazon OpenSearch Service, despite higher initial costs, is valued for long-term scalability and performance, attracting those considering strategic scalability.

To learn more, read our detailed Amazon OpenSearch Service vs. Logz.io Report (Updated: December 2024).

Amazon OpenSearch Service vs. Logz.io

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Helped 824,053 peers since 2012

Categories and Ranking

Amazon OpenSearch Service

Ranking in Log Management

39th

Average Rating

7.6

Reviews Sentiment

7.6

Number of Reviews

Ranking in other categories

Application Performance Monitoring (APM) and Observability (45th)

Logz.io

Ranking in Log Management

20th

Average Rating

8.2

Reviews Sentiment

7.5

Number of Reviews

Ranking in other categories

Security Information and Event Management (SIEM) (25th)

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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Derrick Brockel

Senior Manager of Operations at a comms service provider with 10,001+ employees

The solution is a consistent logging platform that provides excellent query mechanisms

We can query a lot of data points and build dashboards. The vendor is good at adjusting their models. Most companies want us to forecast our yearly use and pay it upfront on day one. With Logz.io, we commit to use 14 TB in a year. However, they measure us every month and give us a monthly bill. Depending on our monthly usage, we pay for 14 TB divided by 12 months or a little extra. It's a little bit more like AWS. Other solutions do not do it. They want their money upfront. We really like the dashboards. We have 36 sub-accounts. Each sub-account is an app, and we could put restrictions on that app. Previously, there were capacity restrictions on the sub-accounts. If we have a sub-account of 1 TB and use only 100 GB, we waste 900 GB that day. We could not share it between sub-accounts. Now, they provide an overhead volume. We do a reserve, and any sub-account could use anything over the reserve. It utilizes our footprint better.

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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

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

"The business analytics capabilities are the most important feature it provides."

"The customer service is excellent, rated nine out of ten."

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

"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"

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

"The other nice thing about Logz.io is their team. When it comes to onboarding, their support is incredibly proactive. They bring the brand experience from a customer services perspective because their team is always there to help you refine filters and tweak dashboards. That is really a useful thing to have. Their engagement is really supportive."

"InsightOne is the main reason why we use LogMeIn. This is mostly because of log data that we are pushing tools and logs in general."

"We use the product for log collection and monitoring."

"The query mechanism for response codes and application health is valuable."

"The visualizations in Kibana are the most valuable feature. It's much more convenient to have a visualization of logs. We can see status really clearly and very fast, with just a couple of clicks."

"We use the tool to track the dev and production environment."

"It is massively useful and great for testing. We can just go, find logs, and attach them easily. It has a very quick lookup. Whereas, before we would have to go, dig around, and find the server that the logs were connected to, then go to the server, download the log, and attach it. Now, we can just go straight to this solution, type in the log ID and server ID, and obtain the information that we want."

"The tool is simple to setup where it is just plug and play. The tool is reliable and we never had any performance issues."

Cons

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

"The price is fair yet leans towards the expensive side. I'd rate it five out of ten with respect to capabilities vs. cost."

"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."

"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."

"They can enhance data visualization."

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

"I would like granularity on alerting so we can get tentative alerts and major alerts, then break it down between the two."

"The price can be cheaper and they should have better monitoring."

"Capacity planning could be a little bit of a struggle."

"When it comes to reducing our troubleshooting time, it depends. When there are no bugs in Logz.io, it reduces troubleshooting by 5 to 10 percent. When there are bugs, it increases our troubleshooting time by 200 percent or more."

"The product needs improvement from a filtering perspective."

"The solution needs to expand its access control and make it accessible through API."

"The solution needs to improve its data retention. It should be greater than seven days. The product needs to improve its documentation as well."

"I would like them to improve how they manage releases. Some of our integrations integrate specifically with set versions. Logz.io occasionally releases an update that might break that integration. On one occasion, we found out a little bit too late, then we had to roll it back."

Pricing and Cost Advice

Information not available

"The product is a little expensive."

"The product's pricing is cheaper than other solutions."

"The tool is an open source product."

"You pay for what you need, and that is a good model. They are also quite happy to talk to you about your uses and your use case. They will even go as far as suggesting things that you don't need to do in order to save you money. At one point, I was quite surprised at how cheap it could be if we wanted it to be or how much they would help us manage our costs."

"At the time it was set up, we thought Logz.io was very reasonable for what we were getting in terms of how much time and hosting costs it was saving us, because you don't have to run the servers for it anymore."

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Top Industries

By visitors reading reviews

Financial Services Firm

17%

Computer Software Company

13%

Manufacturing Company

Government

Computer Software Company

16%

Financial Services Firm

13%

Healthcare Company

11%

Comms Service Provider

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?

Amazon OpenSearch Service is a bit costly compared to self-hosted Elasticsearch due to the managed service pricing.

What needs improvement with Amazon OpenSearch Service?

One improvement I would like to see is support for auto-scaling. The current configuration does not support automatic scaling based on server load, requiring us to manage the scaling manually. Addi...

What do you like most about Logz.io?

The query mechanism for response codes and application health is valuable.

What is your experience regarding pricing and costs for Logz.io?

The product is a little expensive. We're pushing 17 TB. It costs us one and a half million dollars a year.

What needs improvement with Logz.io?

Capacity planning could be a little bit of a struggle. The product must add some AI capabilities to learn from previous behaviors. Instead of us setting thresholds, the tool should learn the thresh...

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Product Reports

Application Performance Monitoring (APM) and Observability

Download Amazon OpenSearch Service product report

Download Logz.io product report

Also Known As

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Logz

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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.

Logz.io is a leading cloud-native observability platform that enables engineers to use the best open source tools in the market without the complexity of operating, managing, and scaling them. Logz.io offers four products: Log Management built on ELK, Infrastructure Monitoring based on Prometheus, Distributed Tracing based on Jaeger, and an ELK-based Cloud SIEM. These are offered as fully managed, integrated cloud services designed to help engineers monitor, troubleshoot and secure their distributed cloud workloads more effectively. Engineering driven companies like Siemens, Unity and ZipRecruiter use Logz.io to simplify monitoring and security workflows, increasing developer productivity, reducing time to resolve issues, and increasing the performance and security of their mission-critical applications.

Sample Customers

Information Not Available

Dish Network, The Economist, Forbes, Holler, Kenshoo, OneSpan, Siemens, Sisense, Unity, ZipRecruiter

Amazon OpenSearch Service vs. Logz.io