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great experience
What do you like best about the product?
I like best how Elasticsearch handles large amounts of data in a scalable and efficient manner, making it easier to manage and scale as my data grows. Additionally, the extensive community support and integration with other tools make it a valuable addition to my data processing workflow.
What do you dislike about the product?
While I appreciate the many benefits Elasticsearch provides, some drawbacks include the steep learning curve, potential complexity in management and maintenance, and the risk of performance overhead. Additionally, ensuring security configurations and managing data consistency issues are crucial to avoiding potential data loss or corruption.
What problems is the product solving and how is that benefiting you?
Elasticsearch is addressing my organization's problems with inefficient data searching, complex analysis, and security issues. By providing a scalable, secure, and efficient infrastructure for data processing and search, Elasticsearch has significantly improved our productivity, decision-making capacity, and overall competitiveness
Impressive Tool
What do you like best about the product?
I use Elastic on a daily basis, and the visualization and log exploration features are very enjoyable and user-friendly once you get to know the solution. Fleet allows for a simple way to add agents, even in offline implementations, and the documentation in this context is very good. Elastic SIEM is also pleasant to use, but it’s important to keep in mind the retention of Elastic events and processes, as they can take up a lot of storage. The support is very good, although the AI chat is not always useful since it can sometimes point to outdated articles.
What do you dislike about the product?
Overall, I’m very satisfied with Elastic, but the biggest downside for me is the documentation. It’s often unclear or incomplete, especially when it comes to Elastic Agent and all the integrations. This makes setup and troubleshooting more complicated than it should be. One of the challenges I faced is with log parsing in the TCP custom input integration. The documentation is not very clear, and it’s not always obvious which preprocessors can be used or how to configure them properly. Of course, I should be using pipelines, but since Elastic provides such a solution, it should be properly documented. Sometimes even when debugging pipelines, not everything is clear or easy to understand.
What problems is the product solving and how is that benefiting you?
It centralizes and indexes logs from multiple sources, allowing fast and efficient searching and analysis. It helps monitor services, quickly detect errors or anomalies, and speeds up troubleshooting, saving time and improving overall system reliability.
Powerful and Reliable Search & Analytics Platform
What do you like best about the product?
Elasticsearch is extremely fast, scalable, and reliable for handling large amounts of data. I’ve used it extensively for log management, search queries, and analytics, and it consistently delivers results in near real-time. Its flexibility with queries, index lifecycle management, and clustering makes it an essential part of our infrastructure. The ecosystem around Elasticsearch (APIs, integrations, documentation) makes it easy to extend and adapt to different use cases.
What do you dislike about the product?
Managing clusters at scale can sometimes be challenging, especially around balancing shards, force merge operations, and handling 429 rate-limit responses. While it’s very powerful, certain advanced operations require deep knowledge to avoid performance bottlenecks. That said, once tuned properly, it works extremely well and reliably.
What problems is the product solving and how is that benefiting you?
Elasticsearch helps us centralize and search through huge volumes of logs, metrics, and structured data in real time. It allows quick troubleshooting, better observability, and smarter analytics across our systems. By automating index lifecycle management and scaling clusters easily, it reduces operational overhead and keeps performance consistent. Overall, it improves visibility, decision-making, and efficiency for our teams.
Simple but does the job well.
What do you like best about the product?
- Data enrichment
- Logs, Metrics and APM monitoring
- It has a built in Dashboards
- Plug and Play, deploy and start using with minimal configuration
- It has fleet management system for easy configuration.
- Logs, Metrics and APM monitoring
- It has a built in Dashboards
- Plug and Play, deploy and start using with minimal configuration
- It has fleet management system for easy configuration.
What do you dislike about the product?
- Not cheap compared to Coralogix.
- Elastic Agents needs re-enrollment to connect to the other Elastic Instance.
- Elastic Agents needs re-enrollment to connect to the other Elastic Instance.
What problems is the product solving and how is that benefiting you?
We mainly use Elasticsearch as observability/monitoring tool. It provides as visibility to see the health and performance of the systems/applications.
Elastic is Just Superb.
What do you like best about the product?
I like it's performance, it's very good at faster response when compared with other monitoring tools. the API response was too faster.
there are lot many connectors available to get the data from different systems like kafka, database, mongodb etc.
there are lot many connectors available to get the data from different systems like kafka, database, mongodb etc.
What do you dislike about the product?
I doesn't see elastic making as user friendly from Kibana while running the searches. Splunk gives good in that. i really wanted to improve in that area.
What problems is the product solving and how is that benefiting you?
elastic search response time is lesser when compared to other products, it is much benefit for us.
we are using REST API's to get the data and show casing other portals, which is very useful.
we are using REST API's to get the data and show casing other portals, which is very useful.
a well matured tool with great community support.
What do you like best about the product?
We extensively use Elasticsearch for platform log aggregation and dashboarding. It works seamlessly, and we rarely encounter issues. We especially appreciate the autoscaling and lifecycle management features.
What do you dislike about the product?
Nothing specific to dislike. We extensivly use elastic for platform log agregation and dashboarding. Working seamlessly and rarely encounter isuses.
What problems is the product solving and how is that benefiting you?
platform log agregation and dashbords
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.
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