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Elastic search review
What do you like best about the product?
New features rollout is very impressive.
What do you dislike about the product?
Data ingeston process at times is conplex
What problems is the product solving and how is that benefiting you?
Search Products with a lowest possible latency. Compliance for e-commerce products.
One of the best product to host large volumes of data for any kind of analysis
What do you like best about the product?
Faster and easier indexing helps us to load Tera bytes of data and use it for analysis and predictive analysis.
What do you dislike about the product?
There is nothing to dislike here about this fantastic product
What problems is the product solving and how is that benefiting you?
Search engine and log analysis
Amazing Search Platform
What do you like best about the product?
Ease of use. Quick to setup and get it running. API driven or most of the functionality. Ease of integration with applications.
What do you dislike about the product?
Search Crawlers. Some configurations are manual and are not driven via APIs.
Vector Search is slow.
Vector Search is slow.
What problems is the product solving and how is that benefiting you?
We use Elastic to solve multiple problems including:
Website Search
Search Curations
Plain data search with indexes which powers multiple user experience / websites
Website Search
Search Curations
Plain data search with indexes which powers multiple user experience / websites
Fast and reliable search engine with excellent scalability
What do you like best about the product?
Elasticsearch provides extremely fast and powerful search capabilities, even on very large datasets. I like how flexible it is with indexing and querying structured as well as unstructured data. Its ability to handle full-text search, filtering, and aggregations makes it ideal for analytics and real-time monitoring. Integration with Kibana adds strong visualization support, helping us easily explore trends and patterns. The distributed nature of Elasticsearch ensures scalability, making it suitable for high-volume production systems. It is also very easy to integrate with different applications and data pipelines, which makes adoption smooth across teams. Implementation is straightforward, with clear documentation and community support that reduces the learning curve. Customer support is also excellent. In my organization, we use it very frequently as all the logs, service traces, and errors are centralized in Elasticsearch for debugging and monitoring.
What do you dislike about the product?
While Elasticsearch is powerful, it can be resource-intensive and requires careful configuration to avoid performance bottlenecks. Setting up clusters and managing shard allocation can sometimes be tricky for beginners. Query syntax, while flexible, can feel complex for new users. Also, as the data size grows, managing indexes and optimizing queries requires ongoing effort.
What problems is the product solving and how is that benefiting you?
In my organization, we use Elasticsearch along with Kibana to centralize and analyze application logs, API traces, and service dependencies. It helps us monitor system health through dashboards that track latency, 4xx/5xx errors, and performance metrics in real time. This setup makes troubleshooting much faster and improves observability across services. The ability to visualize data directly in Kibana allows our teams to detect issues proactively, optimize performance, and ensure smooth customer experiences. We also rely on Elasticsearch’s alerting features to get notified of anomalies or spikes, which reduces downtime and supports faster incident resolution. Its scalability ensures that as our traffic and data volume grow, our monitoring remains efficient without performance degradation. Overall, Elasticsearch with Kibana has become a critical part of our monitoring and observability stack.
A nosql fast, scalable and realiable big data tool
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.
Efficient data storage and quick searching boost productivity
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?
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
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.
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%.
Elastic search is a. Great database when you search on large database
What do you like best about the product?
Best feature of elastic search is performance and accuracy, when you do any type os search on huge records it quickly gives you response.
What do you dislike about the product?
The only thing that i dislike about elastic search is that it is too expensive but not free.
What problems is the product solving and how is that benefiting you?
When user came to my website and search anything it quickly gives the result.
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