We performed a comparison between Elastic Search and Loom Systems based on real PeerSpot user reviews.
Find out in this report how the two Indexing and Search solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The solution offers good stability."
"Elasticsearch includes a graphical user interface (GUI) called Kibana. The GUI features are extremely beneficial to us."
"The most valuable features of Elastic Enterprise Search are it's cloud-ready and we do a lot of infrastructure as code. By using ELK, we're able to deploy the solution as part of our ISC deployment."
"I am impressed with the product's Logstash. The tool is fast and customizable. You can build beautiful dashboards with it. It is useful and reliable."
"The most valuable features are the data store and the X-pack extension."
"The most valuable feature of the solution is its utility and usefulness."
"Dashboard is very customizable."
"I value the feature that allows me to share the dashboards to different people with different levels of access."
"The RFS portion of the solution is the product's most valuable feature."
"The solution is absolutely scalable. If an organization needs to expand it out they definitely can."
"You can develop your own apps within Loom, and they can be configured very simply."
"What I like best about Loom Systems is that you can use it for infrastructure monitoring. I also like that it's a flexible solution."
"There are challenges with performance management and scalability."
"I have not been using the solution for many years to know exactly the improvements needed. However, they could simplify how the YML files have to be structured properly."
"Something that could be improved is better integrations with Cortex and QRadar, for example."
"There are a lot of manual steps on the operating system. It could be simplified in the user interface."
"The different applications need to be individually deployed."
"Could have more open source tools and testing."
"It was not possible to use authentication three years back. You needed to buy the product's services for authentication."
"The documentation regarding customization could be better."
"The reporting is a bit weak. They should work to improve this aspect of the product."
"What's lacking in Loom Systems is the level of priority for each incident. For example, after implementation and there was a huge impact on the client, and the client comes back to you and says that there's an incident, that there needs to be an immediate resolution for it, you'll see severity one, severity two, etc., in Loom Systems, rather than priority levels. It would be better if the incidents can be defined as low priority, medium priority, or high priority."
"The discovery and mapping still takes a lot of human intervention, it's quite resource heavy,"
"The change management within the solution needs to be improved. There needs to be more process automation."
Elastic Search is ranked 1st in Indexing and Search with 59 reviews while Loom Systems is ranked 56th in IT Infrastructure Monitoring with 4 reviews. Elastic Search is rated 8.2, while Loom Systems is rated 8.0. The top reviewer of Elastic Search writes "Played a crucial role in enhancing our cybersecurity efforts ". On the other hand, the top reviewer of Loom Systems writes "Simple and very effective for developing and configuring apps with great integration capabilities". Elastic Search is most compared with Faiss, Milvus, Azure Search, Pinecone and Amazon Kendra, whereas Loom Systems is most compared with Splunk Infrastructure Monitoring. See our Elastic Search vs. Loom Systems report.
We monitor all Indexing and Search reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.