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Elastic Search vs Exalead comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

Elastic Search
Ranking in Indexing and Search
1st
Average Rating
8.2
Reviews Sentiment
7.2
Number of Reviews
65
Ranking in other categories
Cloud Data Integration (11th), Search as a Service (1st), Vector Databases (1st)
Exalead
Ranking in Indexing and Search
10th
Average Rating
6.0
Number of Reviews
1
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of November 2024, in the Indexing and Search category, the mindshare of Elastic Search is 28.0%, up from 24.6% compared to the previous year. The mindshare of Exalead is 4.6%, up from 4.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Indexing and Search
 

Featured Reviews

Saurav Kumar - PeerSpot reviewer
Provides us with the capability to execute multiple queries according to our requirements
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.
reviewer916404 - PeerSpot reviewer
The indexing feature is handy but the user interface and support can be better
I am not sure if I will recommend this solution to others. There should definitely be an improvement in the user interface. It should be more friendly and customize until it's perfect. On a scale from 1 to 10, I rate this solution a six, because there is room for improvement.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"The products comes with REST APIs."
"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."
"The initial setup is very easy for small environments."
"The search speed is most valuable and important."
"Implementing the main requirements regarding my support portal​."
"The most valuable feature of Elasticsearch is its convenience in handling unstructured data."
"The product is scalable with good performance."
"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 find the indexing feature the most valuable."
 

Cons

"They're making changes in their architecture too frequently."
"Performance improvement could come from skipping background refresh on search idle shards (which is already being addressed in the upcoming seventh version)."
"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."
"There are some features lacking in ELK Elasticsearch."
"Elastic Search needs to improve authentication. It also needs to work on the Kibana visualization dashboard."
"We have an issue with the volume of data that we can handle."
"Its licensing needs to be improved. They don't offer a perpetual license. They want to know how many nodes you will be using, and they ask for an annual subscription. Otherwise, they don't give you permission to use it. Our customers are generally military or police departments or customers without connection to the internet. Therefore, this model is not suitable for us. This subscription-based model is not the best for OEM vendors. Another annoying thing about Elasticsearch is its roadmap. We are developing something, and then they say, "Okay. We have removed that feature in this release," and when we are adapting to that release, they say, "Okay. We have removed that one as well." We don't know what they will remove in the next version. They are not looking for backward compatibility from the customers' perspective. They just remove a feature and say, "Okay. We've removed this one." In terms of new features, it should have an ODBC driver so that you can search and integrate this product with existing BI tools and reporting tools. Currently, you need to go for third parties, such as CData, in order to achieve this. ODBC driver is the most important feature required. Its Community Edition does not have security features. For example, you cannot authenticate with a username and password. It should have security features. They might have put it in the latest release."
"There are potential improvements based on our client feedback, like unifying the licensing cost structure."
"The scalability of the solution is a problem."
 

Pricing and Cost Advice

"We use the free version for some logs, but not extensive use."
"The pricing model is questionable and needs to be addressed because when you would like to have the security they charge per machine."
"Elastic Search is open-source, but you need to pay for support, which is expensive."
"It can be expensive."
"We are using the Community Edition because Elasticsearch's licensing model is not flexible or suitable for us. They ask for an annual subscription. We also got the development consultancy from Elasticsearch for 60 days or something like that, but they were just trying to do the same trick. That's why we didn't purchase it. We are just using the Community Edition."
"The solution is affordable."
"An X-Pack license is more affordable than Splunk."
"The price of Elasticsearch is fair. It is a more expensive solution, like QRadar. The price for Elasticsearch is not much more than other solutions we have."
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Top Industries

By visitors reading reviews
Computer Software Company
18%
Financial Services Firm
15%
Manufacturing Company
9%
Government
7%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What do you like most about ELK Elasticsearch?
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 anal...
What is your experience regarding pricing and costs for ELK Elasticsearch?
I am not directly involved with pricing or setup costs. While I know a portion is open-source, a paid version might be necessary.
What needs improvement with ELK Elasticsearch?
An improvement would be to have an interface that allows easier navigation and tracing of logs. The current system requires manually inputting dates to verify alerts. A visual timeline that pinpoin...
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Comparisons

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Also Known As

Elastic Enterprise Search, Swiftype, Elastic Cloud
No data available
 

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Overview

 

Sample Customers

T-Mobile, Adobe, Booking.com, BMW, Telegraph Media Group, Cisco, Karbon, Deezer, NORBr, Labelbox, Fingerprint, Relativity, NHS Hospital, Met Office, Proximus, Go1, Mentat, Bluestone Analytics, Humanz, Hutch, Auchan, Sitecore, Linklaters, Socren, Infotrack, Pfizer, Engadget, Airbus, Grab, Vimeo, Ticketmaster, Asana, Twilio, Blizzard, Comcast, RWE and many others.
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Find out what your peers are saying about Elastic, Luigi's Box, IBM and others in Indexing and Search. Updated: October 2024.
816,406 professionals have used our research since 2012.