We use it for locating and retrieving documents, particularly in scenarios where the data lacks a predefined structure. These documents may encompass various types of information, such as logs or other records.
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A powerful and scalable search and analytics engine ensuring easy deployment, schema-less document storage, extensive documentation, and strong community support
What is our primary use case?
What is most valuable?
It is highly valuable because of its simplicity in maintenance, where most tasks are handled for you, and it offers a plethora of built-in features.
What needs improvement?
Currently, their focus seems to be on expanding integrations and introducing more external tools, somewhat diverging from enhancing the core product. While integrating with tools like agents for ingesting data from sources like firewalls is valuable, I believe prioritizing improvements to the core product would be more beneficial. For instance, the development of a multi-step query engine could significantly enhance user experience. The ability to execute queries, receive results, and then perform subsequent queries based on those results is a fundamental feature that, while achievable through code, seems to be lacking as a built-in capability. While they possess a robust infrastructure, the current upgrade process isn't seamless and can result in downtime. As a customer, this can be frustrating, especially when there are methods like replicating to a new instance, performing the upgrade, and then transitioning back, which could potentially minimize downtime. This is crucial in a cloud service where ensuring availability is paramount, considering the significant investment in such services.
For how long have I used the solution?
I have been working with it for two years.
What do I think about the stability of the solution?
It offers good stability capabilities.
What do I think about the scalability of the solution?
It is a scalable tool, but it's not impressive. The challenge arises when scaling out becomes prohibitively expensive. Instead of offering end-users the flexibility to specify the number of instances, there's a tendency to provide preconfigured packages. This approach may not be ideal, particularly for those seeking smaller scale-ups.
How are customer service and support?
Their documentation is commendable as it provides a clear understanding of their offerings. Also, the accessibility to their support further enhances user-friendliness, making it a straightforward and user-friendly experience. While it may be slow, their competence in what they do is evident. I would rate it eight out of ten.
How would you rate customer service and support?
Positive
How was the initial setup?
The initial setup was straightforward.
What about the implementation team?
Setting up the system initially is quite straightforward, but when it comes to upgrades, the process becomes more challenging. It was an in-house deployment. The primary focus is on designing the solution, considering factors like the importance of replication, cluster size, speed, and disk space. I appreciate their approach of guiding you through these considerations, making it easier to grasp the bigger picture. This initial design phase is a complex but crucial step. Once that's sorted, the subsequent steps are relatively straightforward—just a few clicks to establish the baseline. If you're working on a standard deployment, it's a hassle-free process.
What's my experience with pricing, setup cost, and licensing?
The pricing structure depends on the scalability steps. It begins as quite affordable and maintains affordability for a while. However, there's a turning point where it transitions from being reasonably priced to becoming notably expensive.
Which other solutions did I evaluate?
We've explored a few alternatives, but I believe Elasticsearch, particularly with Elastic and Elastic Cloud, stands out as the current industry standard. Opting for a widely used platform is advantageous due to the larger community it attracts. A substantial user base means more people to consult, numerous information sources, and a wealth of case studies. While there are smaller, medium, and even large alternatives, having around eighty percent of the community share provides a significant pool of expertise and resources to tap into.
What other advice do I have?
The main reason we opted for it is because the installation is straightforward, and maintenance is made easy as they handle that aspect for you. The extensive knowledge base offers substantial assistance, making it less reliant on individual expertise. I believe it's a solid product, especially for beginners. While it's not free, it's well-suited for more complex tasks. Keep in mind that for intricate functionalities, you might need to develop and create tools beyond what Elastic Cloud offers. If you're considering a cloud-based solution for schema-less documents, Elasticsearch is a solid choice. On the other hand, if you have the resources to handle on-premises installation, I would recommend it for companies with the capability to manage the deployment themselves. Overall, I would rate it eight out of ten.
Which deployment model are you using for this solution?
Public Cloud
Easy to use but room for improvement in stability
What is our primary use case?
We save credentials, new account information, logs from Palantir Panorama, Firefox logs, traffic logs, GlobalProtect logs from our servers, and Active Directory new users. We're still improving this, but not very fast.
What is most valuable?
I appreciate that Elastic Enterprise Search is easy to use and that we have people on our team who are able to manage it effectively.
What needs improvement?
We are keeping an eye on other products like QRadar and Splunk in case they offer features that would benefit our company.
We currently use the free version of Elastic Search for some of our logs. However, if we were to use it more extensively, we would need to consider the pricing of the paid plans.
Another area of improvement is stability.
For how long have I used the solution?
I have been using this solution for five years now.
What do I think about the stability of the solution?
I would rate the stability a seven out of ten. We faced a few issues.
What do I think about the scalability of the solution?
I would rate the scalability a seven out of ten.
How are customer service and support?
We don't use the support because we use the free version.
What about the implementation team?
We were able to handle the deployment ourselves. We have one administrator and three users for this solution. So, there are four people in total.
What's my experience with pricing, setup cost, and licensing?
I use the free version. We use the free version for some logs, but not extensive use.
What other advice do I have?
Overall, I would rate the solution a seven out of ten. The free version is not very useful.
Which deployment model are you using for this solution?
On-premises
Template Doesn't work
The Template provided by them isn't working at all. The "S3 error: Access Denied" is denying CopyZipsTemplate from creation. I have been trying to deal with it for hours but there is no solution for this issue.
Searching made easy
What do you like best about the product?
Process large amount of data efficiency & creating custom dashboard to trigger alert on time
What do you dislike about the product?
Creating graph can be improved that can be more simplified like other tools datadog
What problems is the product solving and how is that benefiting you?
To monitor the http request proxy server. Visualise analysing the logs
Very great tool
What do you like best about the product?
ELK Stack is awesome and filebeat is great
What do you dislike about the product?
The exporter support for filebeat and other logstash is limited
What problems is the product solving and how is that benefiting you?
To enhance telemetry data retrieval and processing
So far good but looking for more innovation.
What do you like best about the product?
Being a database internal engineer and Query execution/compilation enthusiast, Elastic Query DSL's simplicity encapsulates all the complexity under the hood.
What do you dislike about the product?
Still the storage under the hood has to solve the problem of low window streaming search problem.
What problems is the product solving and how is that benefiting you?
Multiple place we have used it for index reference storage in big data, identity cache storage in cloud, Merge and update types of problem in big data for natural key reference, Partial search in e-commerce like flipkart
Search with customizability
What do you like best about the product?
It makes search quicker and easier. Cloud based alternative search management software.
What do you dislike about the product?
Fast and efficient but need strong technical skills
What problems is the product solving and how is that benefiting you?
It is flexible insight engine that helps us whenever we need something by providing us with quick results.
It's good
What do you like best about the product?
It's good to use elastic search in enterprise application as it supports json logging and multiple other features which could be utilised to create dashboard like kibana.
What do you dislike about the product?
There is nothing to like about but yeah if talking about the writing performance, we could think of making it more performance wise otherwise it good to have integrated in our system like enterprise application.
What problems is the product solving and how is that benefiting you?
No issue, there is no as such issue is there but yeah it could be more optomzisd corresponding to writing scheme so that it can compete with other databases which are available in the market currently.
Elastic Enterprise Search deserves full marks for seamlessly centralizing any organization's data.
What do you like best about the product?
The engine itself is a boost to the enterprise ecosystem.
What do you dislike about the product?
It might a bit overwhelming for newbies.
What problems is the product solving and how is that benefiting you?
It helped our search time reduced to almost 50%.
Review for Enterprise Elastic Search as a User
What do you like best about the product?
It has great user interface. Customization available as per search criteria. Robust search capability including full text search, filtering. Scale with growing user data.
What do you dislike about the product?
Learning curve for small organisation. Pricing and resource intensive for small companies. Limited offline access. Complex search configuration requires technical expertise.
What problems is the product solving and how is that benefiting you?
We have built a universal search for our lifestyle product superapp. One search to cater multiple product full text search and auto-complete.
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