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."There's lots of processing power. You can actually just add machines to get more performance if you need to. It's pretty flexible and very easy to add another log. It's not like 'oh, no, it's going to be so much extra data'. That's not a problem for the machine. It can handle it."
"ELK Elasticsearch is 100% scalable as scalability is built into the design"
"The initial installation and setup were straightforward."
"The product is scalable with good performance."
"The products comes with REST APIs."
"The flexibility and the support for diverse languages that it provides for searching the database are most valuable. We can use different languages to query the database."
"Dashboard is very customizable."
"The most valuable feature of Elastic Enterprise Search is the opportunity to search behind and between different logs."
"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 solution is absolutely scalable. If an organization needs to expand it out they definitely can."
"The RFS portion of the solution is the product's most valuable feature."
"You can develop your own apps within Loom, and they can be configured very simply."
"Technical support should be faster."
"I would rate the stability a seven out of ten. We faced a few issues."
"Dashboards could be more flexible, and it would be nice to provide more drill-down capabilities."
"The solution's integration and configuration are not easy. Not many people know exactly what to do."
"Elastic Search could benefit from a more user-friendly onboarding process for beginners."
"While integrating with tools like agents for ingesting data from sources like firewalls is valuable, I believe prioritizing improvements to the core product would be more beneficial."
"The documentation regarding customization could be better."
"Something that could be improved is better integrations with Cortex and QRadar, for example."
"The discovery and mapping still takes a lot of human intervention, it's quite resource heavy,"
"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 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."
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.