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 initial setup is very easy for small environments."
"The solution offers good stability."
"We can easily collect all the data and view historical trends using the product. We can view the applications and identify the issues effectively."
"The AI-based attribute tagging is a valuable feature."
"The most valuable features are its user-friendly interface and seamless navigation."
"The most valuable features are the ease and speed of the setup."
"I really like the visualization that you can do within it. That's really handy. Product-wise, it is a very good and stable product."
"Data indexing of historical data is the most beneficial feature of the product."
"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."
"Ratio aggregation is not supported in this solution."
"Improving machine learning capabilities would be beneficial."
"The pricing of this product needs to be more clear because I cannot understand it when I review the website."
"We have an issue with the volume of data that we can handle."
"They could improve some of the platform's infrastructure management capabilities."
"The one area that can use improvement is the automapping of fields."
"I would like to be able to do correlations between multiple indexes."
"The different applications need to be individually deployed."
"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."
"The reporting is a bit weak. They should work to improve this aspect of the product."
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.
