Elasticsearch Reviews & Product Details

It helps us monitor bets in real time, and we can even see where we need to improve before it happens. Review collected by and hosted on G2.com.

It gives us a real-time view of our infrastructure logs. The downside is that shards sometimes get corrupted, and we need to restore them, but we don’t have clear visibility into that process. Review collected by and hosted on G2.com.

Fast full text search and real-time capabilities

Scalable architecture

Versatile integrations

Flexible

Support Review collected by and hosted on G2.com.

Complexity in setup

Using OTEL

Licensing and vendor lock-in

Searching Large logs

Can't select log text and add it for quick search. (double click and add feature)

Doesn't distribute data evenly across the nodes. Thereby increasing costs when auto-scaled at this scale

Auto-scaling not working properly Review collected by and hosted on G2.com.

The elastic feature of collecting logs and monitoring them through ELK is quite useful, especially when the results are displayed on a Kibana dashboard. Additionally, the integration of anomaly detection using machine learning adds significant value to the overall monitoring process. Review collected by and hosted on G2.com.

There is nothing to complain about; everything works well, including elk, ml, anomaly detection, and the APM agent, which handles auto discovery effectively. Review collected by and hosted on G2.com.

I appreciate its speed, flexibility, and innovation. Review collected by and hosted on G2.com.

There isn’t much to dislike about Elastic Search. Review collected by and hosted on G2.com.

Elasticsearch's stack is a must-have for application developers where observability can be achieved through APM's distributed tracing, and logs and metrics acquired through the Elastic Agent. A lot of observability into the system can be seen with minimal application configuration so developers can understand latency, throughput, error rate, and saturation of the system. I wouldn't run a production service without Elastic. I use APM every day to monitor the health of services I'm responsible for. A lot of valuable information comes for-free, but creating custom dashboards is also available. Review collected by and hosted on G2.com.

Setting up Elasticsearch and running it for production workloads is non-trivial. Many valuable features require a commercial license. Review collected by and hosted on G2.com.

Elasticsearch gives our team fast and relevant search results. We manage large datasets with ease. Its strong performance is a major benefit. It also works well with other Elastic Stack tools like Kibana. This creates a complete solution for our data analysis and visualization. Review collected by and hosted on G2.com.

New users may need some time to learn all its features. The initial setup requires careful planning to get the best performance. It can also consume significant system resources when handling very large workloads, so plan your hardware needs. Review collected by and hosted on G2.com.

This platform is impressively fast, even when handling petabytes of data in queries. It scales smoothly without any issues and is straightforward to manage. The availability of both a GUI and an API adds to its flexibility. Cluster management and monitoring are made very simple with this solution. Review collected by and hosted on G2.com.

Troubleshooting can be frustrating at times, and occasionally it takes a while to receive a response from support. Review collected by and hosted on G2.com.

I appreciate how dashboards can be tailored to suit the specific needs of different teams, allowing for a high level of customisation. Review collected by and hosted on G2.com.

Setting up can be complex because it involves integrating several tools, such as Kibana and Elastic, which adds to the overall difficulty. Review collected by and hosted on G2.com.

It's very fast, easy to implement, and scalable, offering an end-to-end solution from data ingestion using numerous integrations with other tools and platforms. With its agents and open-source supported data ingestion and communication protocols, Elasticsearch serves as a NoSQL database and Kibana as their analytics tool, providing many options for dashboard reporting and visualization, like Lens, TSVB, Vega visualization, and many more. Review collected by and hosted on G2.com.

Migration from traditional databases that hold many-to-many relationships in their table schemas is hard to migrate to Elastic, as there are some other tricks and techniques to do this, but I think it can be improved. Review collected by and hosted on G2.com.

It is a tool that supports a community which generates many improvements and helps in support. Review collected by and hosted on G2.com.

When it is licensed and used in the cloud, the costs are not clear, making payments difficult and managing consumption. Review collected by and hosted on G2.com.