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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 offers robust scalability and can manage large volumes of data efficiently, allowing users to scale performance by adding machines.
Its powerful analytics and machine learning capabilities facilitate the identification of trends and anomalies, making it ideal for various enterprise needs.
Elasticsearch is highly valued for its speed and efficiency in handling text-based searches and indexing, ensuring quick data retrieval and processing.
Security features and real-time search functionality enhance operational decision-making and support efficient management of security alerts and incidents.
Log collection and storage are optimized with high indexing capabilities, allowing detailed and comprehensive analysis of large-scale log data.

CONS

Enterprise scaling of essentially separate, free open source software products has been a challenge, prompting Elastic to publish new add-ons to aid scaling.
Machine learning needs improvement, and the absence of email notification comparable to Logentries influenced some users to switch.
Licensing issues arise as Elastic does not offer a perpetual license, requiring annual subscriptions and counting nodes, thus posing obstacles for specific sectors.
Backwards compatibility concerns exist, with features being removed without accommodating existing customer setups and causing adaptation difficulties.
Elasticsearch could benefit from better documentation, more informative official resources, and enhanced support for customization efforts.
 

Elastic Search Pros review quotes

ED
Jun 18, 2020
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.
KB
Nov 30, 2020
ELK Elasticsearch is 100% scalable as scalability is built into the design
Anand_Kumar - PeerSpot reviewer
Jul 18, 2024
All the quality features are there. There are about 60 to 70 reports available.
Learn what your peers think about Elastic Search. Get advice and tips from experienced pros sharing their opinions. Updated: October 2025.
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LK
Sep 22, 2022
The solution has great scalability.
Atif Tariq - PeerSpot reviewer
Nov 20, 2023
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.
EG
Oct 6, 2025
My favorite feature is the ease of use, particularly in how you integrate the agent; I've been using it since version 7, and we're on version 9 now, and I've seen the progress from using Beats to using the agent, making it so simple today to enroll a server with the Elastic Agent.
PO
Jan 8, 2024
It provides deep visibility into your cloud and distributed applications, from microservices to serverless architectures. It quickly identifies and resolves the root causes of issues, like gaining visibility into all the cloud-based and on-prem applications.
Dave Ezrakhovich - PeerSpot reviewer
Nov 15, 2023
It is highly valuable because of its simplicity in maintenance, where most tasks are handled for you, and it offers a plethora of built-in features.
reviewer1654356 - PeerSpot reviewer
Oct 21, 2025
Elastic Search has impacted my organization positively as we use it for logging and APM.
KR
Oct 30, 2020
The most valuable feature is the out of the box Kibana.
 

Elastic Search Cons review quotes

ED
Jun 18, 2020
The solution has quite a steep learning curve. The usability and general user-friendliness could be improved. However, that is kind of typical with products that have a lot of flexibility, or a lot of capabilities. Sometimes having more choices makes things more complex. It makes it difficult to configure it, though. It's kind of a bitter pill that you have to swallow in the beginning and you really have to get through it.
KB
Nov 30, 2020
The metadata gets stored along with indexes and isn't queryable.
Anand_Kumar - PeerSpot reviewer
Jul 18, 2024
Scalability and ROI are the areas they have to improve.
Learn what your peers think about Elastic Search. Get advice and tips from experienced pros sharing their opinions. Updated: October 2025.
872,098 professionals have used our research since 2012.
LK
Sep 22, 2022
Both the graph feature and the reporting feature are a little bit lacking. The alerting also needs to be improved.
Atif Tariq - PeerSpot reviewer
Nov 20, 2023
There are challenges with performance management and scalability.
EG
Oct 6, 2025
What they need is to be more transparent about the actual setup of the cluster and the deployment process.
PO
Jan 8, 2024
There are potential improvements based on our client feedback, like unifying the licensing cost structure.
Dave Ezrakhovich - PeerSpot reviewer
Nov 15, 2023
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.
reviewer1654356 - PeerSpot reviewer
Oct 21, 2025
The documentation for Elastic Search can be challenging if you're not already familiar with the platform.
KR
Oct 30, 2020
I would like to be able to do correlations between multiple indexes.