Sign in
Categories
Your Saved List Become a Channel Partner Sell in AWS Marketplace Amazon Web Services Home Help

Reviews from AWS customer

35 AWS reviews

External reviews

250 reviews
from and

External reviews are not included in the AWS star rating for the product.


    Aman K.

A nosql fast, scalable and realiable big data tool

  • May 11, 2025
  • Review provided by G2

What do you like best about the product?
its very fast, easy implementation and scalable, offer end to end solution from data ingestion using huge numbers of integrations with other tools and platforms, with its agents and open source supported data ingestion and communication protocols, Elasticsearch as NOsql data base and kibana as their analytics tool, with many options for dashboards reporting and visualization, like lens, tsvb, vega visualization and many more
What do you dislike about the product?
migration from tradition databases which holds many to many relationships in their table schemas are hard to migrate to elastic as their are some other tricks and techniques to do this but I think it can be improved
What problems is the product solving and how is that benefiting you?
its solving latency issues over networks, we are using in cybersecurity solutions, while working with big data tools as it is very fast and offer end to end data solutions with various options available, it offers data analytics as well as ingestion as well as a fast database solutions.


    reviewer2702670

Efficient data storage and quick searching boost productivity

  • May 06, 2025
  • Review from a verified AWS customer

What is our primary use case?

Our primary use case was primarily for data storage and quick searching. We focused on getting objects from the database and filtering them efficiently. This involved getting and searching through objects.

How has it helped my organization?

Our productivity was consistently maintained while using this database. Its consistent performance allowed us to maintain steady productivity levels.

What is most valuable?

The most valuable feature of Elasticsearch was the quick search capability, allowing us to search by any criteria needed. The searches were executed very quickly, which made the process reliable. Additionally, full-text queries were integral to our usage. Our productivity was consistently maintained with this database. Its consistent performance allowed us to maintain steady productivity levels.

What needs improvement?

It would be useful if a feature for renaming indices could be added without affecting the performance of other features. However, overall, the consistency and stability of Elasticsearch are already commendable, and they should keep up the good work.

For how long have I used the solution?

I have been using Elasticsearch for two and a half years while at this company.

What do I think about the stability of the solution?

The stability of Elasticsearch was very high, and I would rate it a ten. It was consistent and reliable in our usage.

What do I think about the scalability of the solution?

Elasticsearch was decently scalable, matching our data growth. I would rate its scalability a ten.

How was the initial setup?

I was not involved in the initial setup. However, the setup process for smaller projects was straightforward.

What about the implementation team?

One person from our DevOps team was responsible for the maintenance of Elasticsearch.

What's my experience with pricing, setup cost, and licensing?

We used the open-source version of Elasticsearch, which was free.

What other advice do I have?

If a feature for renaming indices could be added without affecting the performance of all other features, it would be nice to have. Overall, I rate Elasticsearch a ten out of ten.

Which deployment model are you using for this solution?

Public Cloud

If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?


    FaisalKhan5

The command-based configuration simplifies data management and setup

  • May 05, 2025
  • Review provided by PeerSpot

What is our primary use case?

I have used the Wazuh SIEM tool, an open-source SIEM tool that uses Elasticsearch for indexing. In this SIEM tool, we have a large amount of logs. Data are converted into alerts, then they are stored in our environment for monitoring and security purposes. For storing that data in Wazuh, we use Elasticsearch indexing.

What is most valuable?

Configuring Elasticsearch is much easier compared to comprehending other SIEM tools like Splunk. It has a full command-based access that allows you to configure how much data you want to store and set up retention policies. I can easily change the bandwidth for the network to send log data. Elasticsearch is quite user-friendly and offers a hands-on experience for configuring databases.

What needs improvement?

Elasticsearch should have simpler commands for window filtering. It is primarily based on Unix or Linux-based operating systems and cannot be easily configured in Windows systems. Multi-operating system support would be a great improvement.

For how long have I used the solution?

I have used it for approximately two years.

What was my experience with deployment of the solution?

It can be installed on cloud and locally, with no issues.

What do I think about the stability of the solution?

I would rate the stability of Elasticsearch as a seven. There have been multiple instances where I faced errors due to network bandwidth issues. The data transfer sometimes exceeded the bandwidth limits without proper notification, which caused issues.

What do I think about the scalability of the solution?

I would rate the scalability of Elasticsearch as an eight. The high scalability is somewhat limited by its lack of support for different operating systems other than Linux.

How are customer service and support?

I have never used their technical support. I usually resolve issues on my own or with the help of online community forums.

How would you rate customer service and support?

Positive

How was the initial setup?

The complexity of the initial setup depends on the requirements. In an MSSP scenario, where multiple clients use the same software, there is a need to segregate the data. This can make the setup more complex, especially for a single client where you need to adjust network configurations.

What was our ROI?

For time-saving, Elasticsearch is a good software. It is stable, and we do not encounter critical issues like server downtime, which could result in data loss. There are minor misconfigurations regarding data transfer rates that I have noticed sometimes.

What's my experience with pricing, setup cost, and licensing?

I'm not familiar with the pricing details as it falls under the finance department. My manager handles the costing. However, given that we have been using it for two years, I can suggest that it's priced sensibly for us.

Which other solutions did I evaluate?

If you can't afford a large SIEM tool like Splunk and QRadar, Elasticsearch is a viable alternative.

What other advice do I have?

Overall, considering key aspects like cost, learning curve, and data indexing architecture, Elasticsearch is a very good tool. I would rate it as a nine.


    Abdul Rahaman Abdul Rahim Lee

Improved performance in data aggregation and has a fast performance

  • January 10, 2025
  • Review provided by PeerSpot

What is our primary use case?

I use the solution to store historical data and logs to find anomalies within the logs. That is about it. I don't create dashboards from it.

What is most valuable?

I find the solution to be fast. Aggregation is faster than querying directly from a database, like Postgres or Vertica. It's much faster if I want to do aggregation. These features allow me to store logs and find anomalies effectively.

What needs improvement?

I found an issue with Elasticsearch in terms of aggregation. They are good, yet the rules written for this are not really good. 

There is a maximum of 10,000 entries, so the limitation means that if I wanted to analyze certain IP addresses more than 10,000 times, I wouldn't be able to dump or print that information. I need to use paging or something similar as a workaround. That's what the limitation is all about.

For how long have I used the solution?

I have probably used it for three or four years, maybe longer.

What do I think about the stability of the solution?

The solution is very good with no issues or glitches.

What do I think about the scalability of the solution?

In terms of scalability, I have multiple Search instances. I can actually add more storage and memory because I host it in the cloud. It's much easier in terms of scalability, and I have no complaints about it.

How are customer service and support?

I have never talked to technical support.

How would you rate customer service and support?

Neutral

Which solution did I use previously and why did I switch?

I am using Elasticsearch.

How was the initial setup?

The initial setup is very easy.

What about the implementation team?

I did not use any outside assistance.

What's my experience with pricing, setup cost, and licensing?

I don't know about pricing. That is dealt with by the sales team and our account team. I was not involved with that.

Which other solutions did I evaluate?

I am evaluating InfluxDB as well. Timescub is a kind of database.

What other advice do I have?

I would rate Elasticsearch at eight out of ten.

Which deployment model are you using for this solution?

Public Cloud

If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?

Other


    Naresh Modhwadia

Efficient large data handling and good scalability empowers legal search

  • December 27, 2024
  • Review provided by PeerSpot

What is our primary use case?

We are using Elastic Search for free text search. We scan cache files and convert them into OCR. This allows our end users to search for any judgment given in the 1980s or 1990s based on their criteria. 

What is most valuable?

Elastic Search is very quick when handling a large volume of data. The facet search is particularly valuable. It is scalable. Elastic Search makes handling large data volumes efficient and supports complex search operations.

What needs improvement?

There should be more stability. When we started learning it, new versions came out frequently in one quarter with extended features. This can create problems for new developers because they have to quickly switch to another version. Stability could be improved, as it sometimes requires quick adaptation to new versions.

For how long have I used the solution?

We have been using Elastic Search for two years.

What do I think about the stability of the solution?

Elastic Search is generally stable, however, the frequent release of new versions can cause challenges for stability. If asked to rate stability, I would give it an eight out of ten.

What do I think about the scalability of the solution?

Elastic Search is scalable. Our supreme court uses it for the whole nation across all judgments, so it must be scalable.

How are customer service and support?

We have not contacted customer service. We rely on documentation for solutions.

How would you rate customer service and support?

Positive

Which solution did I use previously and why did I switch?

We are using Elastic Search for free text search in our project.

How was the initial setup?

The documentation for Elastic Search is very well structured. It provides easy-to-follow steps for installation, making it a straightforward process.

What about the implementation team?

One person can install Elastic Search by following the documentation steps.

What was our ROI?

Our organization prioritizes open-source tools. We have not purchased any licensed products, and our use of Elastic Search is purely open-source, contributing positively to our ROI. We adopt open-source tools due to the organization's policy.

Which other solutions did I evaluate?

Our experience has been positive, finding solutions in documentation without needing customer support. We also use supporting technologies like PostgreSQL, Spring Boot, and Subversion for seamless integration. 

What other advice do I have?

I rate Elastic Search nine out of ten.


    Yu-Lin Lee

Effective unstructured data management with room for large-scale optimization

  • November 08, 2024
  • Review provided by PeerSpot

What is our primary use case?

The primary use case for Elasticsearch is to serve as a non-SQL database platform to replace traditional SQL processes. It is used in situations where unstructured data needs to be studied and searched.

How has it helped my organization?

Elasticsearch has been helpful due to its ability to handle unstructured data effectively compared to SQL. It provides a fast and interesting search capability which is advantageous for our needs.

What is most valuable?

The most valuable feature of Elasticsearch is its convenience in handling unstructured data, making it easy to use.

What needs improvement?

Elasticsearch could be improved in terms of scalability. If the database becomes too large, its efficiency is not as good as SQL. Additionally, the initial setup could be a little easier.

For how long have I used the solution?

We have been using Elasticsearch for about two to three years.

What do I think about the stability of the solution?

We have faced shutdown issues, but these are mostly related to problems with our own machines and not due to Elasticsearch itself.

What do I think about the scalability of the solution?

Elasticsearch is not scalable when dealing with very large databases. The efficiency decreases for huge databases because it deals with unstructured data, which presents an inherent problem.

How was the initial setup?

The initial setup is of medium difficulty since it requires some understanding of the disk and related concepts.

What's my experience with pricing, setup cost, and licensing?

Elasticsearch can be expensive. It requires some support and unlocking of features.

What other advice do I have?

I recommend Elasticsearch for anyone looking to build a simple database, as it should be a top choice.

I'd rate the solution seven out of ten.


    ErtugrulAKBAS

Real-time search and enhances decision-making but demands optimization

  • October 25, 2024
  • Review provided by PeerSpot

How has it helped my organization?

Using real-time search functionality to support operational decisions has been helpful. However, it is not functioning correctly, as the real-time search consumes significant system resources.

What is most valuable?

The search feature is one of the valuable features of Elasticsearch.

What needs improvement?

There are areas for improvement in Elasticsearch.

What do I think about the stability of the solution?

The real-time search functionality is not operational due to its impact on system resources. There are some stability issues.

How are customer service and support?

My overall experience with support was positive.

How would you rate customer service and support?

Neutral

How was the initial setup?

The initial setup is complex.

What about the implementation team?

I do not have specific details about the implementation team. The process might require certain expertise.

What's my experience with pricing, setup cost, and licensing?

The pricing is not cheap and is expensive.

Which other solutions did I evaluate?

I compared the differences between Elastic and other SIEM solutions.

What other advice do I have?

I am more like an implementer than a customer.

I'd rate the solution seven out of ten.

If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?

Other


    reviewer2538867

Enhanced security operations with good logging and real-time threat analysis

  • October 15, 2024
  • Review provided by PeerSpot

What is our primary use case?

I am an end user, and we use Elasticsearch for our logs. Specifically, we use it for security logs for our enterprise, including machines, networks, and endpoints, as part of our IT infrastructure.

How has it helped my organization?

We have been able to collect our live logs, which helps us run security operations more effectively. It has enabled us to identify false positives and detect real-time malicious activities in the network.

What is most valuable?

The security portion of Elasticsearch is particularly beneficial, allowing me to view and analyze security alerts. It serves as a query engine for the database, enabling us to analyze logs for potential threats.

What needs improvement?

An improvement would be to have an interface that allows easier navigation and tracing of logs. The current system requires manually inputting dates to verify alerts. A visual timeline that pinpoints possible anomalies would be beneficial.

For how long have I used the solution?

I have been using Elasticsearch for approximately one year.

What do I think about the stability of the solution?

I would rate the stability of the solution as nine out of ten. It is very robust.

What do I think about the scalability of the solution?

I would rate the scalability as either nine out of ten. It's a very robust solution.

How are customer service and support?

I do not interface directly with technical support from Elastic. Another colleague manages that aspect.

How would you rate customer service and support?

Positive

Which solution did I use previously and why did I switch?

We did not use any different solution before Elasticsearch.

How was the initial setup?

I was not involved in the setup process. Our architects and technical officer managed it.

What's my experience with pricing, setup cost, and licensing?

I am not directly involved with pricing or setup costs. While I know a portion is open-source, a paid version might be necessary.

Which other solutions did I evaluate?

It was not my duty to evaluate other options. The architects and chief technical officer handled those decisions.

What other advice do I have?

For someone wanting to be a security analyst, Elasticsearch is a valuable tool. It helps organizations collect large amounts of logs from various platforms like Windows, Ubuntu, and Palo Alto Networks.

I'd rate the solution eight out of ten.

Which deployment model are you using for this solution?

On-premises


    Anderson Linares

Flexible notifications and good alerts with good scalability

  • September 18, 2024
  • Review provided by PeerSpot

How has it helped my organization?

It has helped by notifying me when something happens. I deploy my team to the infrastructure to fix the application. However, receiving alerts before something happens would be more beneficial.

What is most valuable?

New Relic is very similar to Elasticsearch in functionality; it's easier to use.

What needs improvement?

New Relic could be more flexible, similar to Elasticsearch. It could improve on providing notifications before something happens instead of when something happens.

What do I think about the stability of the solution?

It is a stable and good platform.

What do I think about the scalability of the solution?

It's scalable. There's no need to worry about the environment. You just configure it, and it runs without issues.

How are customer service and support?

I haven't used their support, however, a colleague I talked to about this platform with has used it.

How would you rate customer service and support?

Positive

How was the initial setup?

The initial setup is not complex. The only part that may require specific knowledge is communicating your cloud environment with New Relic and managing the cloud environment configurations.

What's my experience with pricing, setup cost, and licensing?

Comparing the costs between New Relic and Elasticsearch is difficult as New Relic's cost is for processing metrics, whereas Elasticsearch's cost is for storage.

What other advice do I have?

I recommend New Relic, however, it depends on the specific use case you have. I'd rate the solution eight out of ten.

Which deployment model are you using for this solution?

Public Cloud

If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?

Other


    reviewer2540184

Offers good search interface and visualization capabilities with good stability

  • September 03, 2024
  • Review from a verified AWS customer

What is our primary use case?

We use Elasticsearch as an alternative to Splunk. It is basically for log monitoring.

What is most valuable?

It's probably a cost-efficient alternative to Splunk. The search interface is nearly the same. When it comes to visualizations, Elastic is a bit better than Splunk.

What needs improvement?

Elastic Search needs better guides for developers. Better guides for development.

For how long have I used the solution?

I have been using it for a year.

What do I think about the stability of the solution?

I would rate the stability an eight out of ten. 

What do I think about the scalability of the solution?

It's fairly scalable. I would rate the scalability of this solution a ten out of ten. 

There are around five end users using it in my team. 

How are customer service and support?

Till date, we did not have any issues with  customer service and support. Like, initially, we had issues in accessing the portal. But that was the only issue, but it was resolved pretty quick.

How was the initial setup?

The initial setup is fairly simple. Initially, it was on-prem, but right now, it's on the cloud.

It is pretty easy to integrate as well.

What was our ROI?

It's like, when someone is buidling products for scale, it reduces the time to market.

What's my experience with pricing, setup cost, and licensing?

I would rate the pricing a seven out of ten, with one being high price and ten being low price. It could be cheaper for certain use cases, but since it gets the job done, no complaints for the pricing. 

What other advice do I have?

Overall, I would rate it a nine out of ten. I would definitely recommend it to other users.