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."We had many reasons to implement Elasticsearch for search term solutions. Elasticsearch products provide enterprise landscape support for different areas of the company."
"The product is scalable with good performance."
"The solution offers good stability."
"You have dashboards, it is visual, there are maps, you can create canvases. It's more visual than anything that I've ever used."
"The special text processing features in this solution are very important for me."
"It is stable."
"Data indexing of historical data is the most beneficial feature of the product."
"Elasticsearch includes a graphical user interface (GUI) called Kibana. The GUI features are extremely beneficial to us."
"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."
"The RFS portion of the solution is the product's most valuable feature."
"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."
"The GUI is the part of the program which has the most room for improvement."
"Improving machine learning capabilities would be beneficial."
"There is another solution I'm testing which has a 500 record limit when you do a search on Elastic Enterprise Search. That's the only area in which I'm not sure whether it's a limitation on our end in terms of knowledge or a technical limitation from Elastic Enterprise Search. There is another solution we are looking at that rides on Elastic Enterprise Search. And the limit is for any sort of records that you're doing or data analysis you're trying to do, you can only extract 500 records at a time. I know the open-source nature has a lot of limitations, Otherwise, Elastic Enterprise Search is a fantastic solution and I'd recommend it to anyone."
"We see the need for some improvements with Elasticsearch. We would like the Elasticsearch package to include training lessons for our staff."
"They could improve some of the platform's infrastructure management capabilities."
"They're making changes in their architecture too frequently."
"There is an index issue in which the data starts to crash as it increases."
"Elastic Search needs to improve authentication. It also needs to work on the Kibana visualization dashboard."
"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 change management within the solution needs to be improved. There needs to be more process automation."
"The discovery and mapping still takes a lot of human intervention, it's quite resource heavy,"
Elastic Search is ranked 1st in Indexing and Search with 59 reviews while Loom Systems is ranked 58th 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, Pinecone, Azure Search and Amazon Kendra, whereas Loom Systems is most compared with VMware Aria Operations for Applications and 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.