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Elastic Search pros and cons

Vendor: Elastic
4.1 out of 5
Badge Ranked 1

Pros & Cons summary

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Prominent pros & cons

PROS

Elastic Search significantly reduces the time needed to identify and isolate application issues through its ability to aggregate log and machine data into a searchable index.
It offers strong scalability, allowing users to add machines to enhance performance without issues, making it flexible and easy to accommodate additional data.
Users benefit from the powerful full-text search capabilities, enabling fast and efficient handling of large data volumes.
Its machine learning features, including multilingual models and ease of integration, enhance the customization and efficiency of search projects.
Elastic Search provides invaluable insights into system components and entities, helping businesses maintain high visibility and effectively manage use cases.

CONS

Elastic Search struggles with enterprise scaling and lacks backward compatibility, causing issues with feature removals.
Technical support from Elastic Search is rated poorly and does not adequately address user needs.
Documentation and guides for Elastic Search are insufficient, making it challenging for users unfamiliar with the platform.
Elastic Search's licensing model, subscription requirements, and pricing structure are criticized for lacking clarity.
There are concerns about Elastic Search's scalability and performance management, which need improvement.
 

Elastic Search Pros review quotes

RH
Program Manager - Enterprise Command Center at a financial services firm with 10,001+ employees
Jan 8, 2018
The ability to aggregate log and machine data into a searchable index reduces time to identify and isolate issues for an application. Saves time in triage and incident response by eliminating manual steps to access and parse logs on separate systems, within large infrastructure footprints.
it_user348018 - PeerSpot reviewer
EChannel IT Architect at a tech vendor with 1,001-5,000 employees
Jan 8, 2018
It is easy to scale with the cluster node model.​
PP
Programmer at a tech services company
Jan 21, 2018
Helps us to store the data in key value pairs and, based on that, we can produce visualisations in Kibana.
Learn what your peers think about Elastic Search. Get advice and tips from experienced pros sharing their opinions. Updated: January 2026.
879,455 professionals have used our research since 2012.
it_user807603 - PeerSpot reviewer
DevOps/System Administrator at a consultancy with 1,001-5,000 employees
Jan 31, 2018
Gives us a more user-friendly, centralized solution (for those who just needed a quick glance, without being masters of sed and awk) as well as the ability to implement various mechanisms for machine-learning from our logs, and sending alerts for anomalies.
it_user963378 - PeerSpot reviewer
System Analyst at S7
Apr 3, 2019
We had many reasons to implement Elasticsearch for search term solutions. Elasticsearch products provide enterprise landscape support for different areas of the company.
AP
Works at Sincrobox SAC
Apr 19, 2019
The most valuable feature for us is the analytics that we can configure and view using Kibana.
it_user1031103 - PeerSpot reviewer
Murex Consultant at a tech services company
Aug 26, 2019
The special text processing features in this solution are very important for me.
BT
Engineer at IT Specialist LLC
Sep 19, 2019
The most valuable features are the data store and the X-pack extension.
it_user844839 - PeerSpot reviewer
Data Scientist at a tech vendor with 51-200 employees
Dec 9, 2019
I value the feature that allows me to share the dashboards to different people with different levels of access.
reviewer796698 - PeerSpot reviewer
Manager at a tech services company with 11-50 employees
Dec 15, 2019
The product is scalable with good performance.
 

Elastic Search Cons review quotes

RH
Program Manager - Enterprise Command Center at a financial services firm with 10,001+ employees
Jan 8, 2018
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.
it_user348018 - PeerSpot reviewer
EChannel IT Architect at a tech vendor with 1,001-5,000 employees
Jan 8, 2018
Machine learning on search needs improvement.
PP
Programmer at a tech services company
Jan 21, 2018
It needs email notification, similar to what Logentries has. Because of the notification issue, we moved to Logentries, as it provides a simple way to receive notification whenever a server encounters an error or unexpected conditions (which we have defined using RegEx​).
Learn what your peers think about Elastic Search. Get advice and tips from experienced pros sharing their opinions. Updated: January 2026.
879,455 professionals have used our research since 2012.
it_user807603 - PeerSpot reviewer
DevOps/System Administrator at a consultancy with 1,001-5,000 employees
Jan 31, 2018
Elasticsearch could improve by honoring Unix environmental variables and not relying only on those provided by Java (e.g. installing plugins over the Unix http proxy).
it_user963378 - PeerSpot reviewer
System Analyst at S7
Apr 3, 2019
We see the need for some improvements with Elasticsearch. We would like the Elasticsearch package to include training lessons for our staff.
AP
Works at Sincrobox SAC
Apr 19, 2019
This product could be improved with additional security, and the addition of support for machine learning devices.
it_user1031103 - PeerSpot reviewer
Murex Consultant at a tech services company
Aug 26, 2019
Better dashboards or a better configuration system would be very good.
BT
Engineer at IT Specialist LLC
Sep 19, 2019
The pricing of this product needs to be more clear because I cannot understand it when I review the website.
it_user844839 - PeerSpot reviewer
Data Scientist at a tech vendor with 51-200 employees
Dec 9, 2019
Ratio aggregation is not supported in this solution.
reviewer796698 - PeerSpot reviewer
Manager at a tech services company with 11-50 employees
Dec 15, 2019
The GUI is the part of the program which has the most room for improvement.