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."Logsign provides us with the capability to execute multiple queries according to our requirements. The indexing is very high, making it effective for storing and retrieving logs. The real-time analytics with Elastic benefits us due to the huge traffic volume in our organization, which reaches up to 60,000 requests per second. With logs of approximately 25 GB per day, manually analyzing traffic behavior, payloads, headers, user agents, and other details is impractical."
"The forced merge and forced resonate features reduce the data size increasing reliability."
"A good use case is saving metadata of your systems for data cataloging. Various systems, like those opened in metadata and similar applications, use Elasticsearch to store their text data."
"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."
"The most valuable feature for us is the analytics that we can configure and view using Kibana."
"The most valuable features are its user-friendly interface and seamless navigation."
"ELK Elasticsearch is 100% scalable as scalability is built into the design"
"It is stable."
"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."
"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."
"The solution is absolutely scalable. If an organization needs to expand it out they definitely can."
"Enterprise scaling of what have been essentially separate, free open source software (FOSS) products has been a challenge, but the folks at Elastic have published new add-ons (X-Pack and ECE) to help large companies grow ELK to required scales."
"The GUI is the part of the program which has the most room for improvement."
"Both the graph feature and the reporting feature are a little bit lacking. The alerting also needs to be improved."
"There are potential improvements based on our client feedback, like unifying the licensing cost structure."
"We'd like more user-friendly integrations."
"Better dashboards or a better configuration system would be very good."
"Ratio aggregation is not supported in this solution."
"Elastic Search needs to improve authentication. It also needs to work on the Kibana visualization dashboard."
"The discovery and mapping still takes a lot of human intervention, it's quite resource heavy,"
"The reporting is a bit weak. They should work to improve this aspect of the product."
"The change management within the solution needs to be improved. There needs to be more process automation."
"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."
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.
