Try our new research platform with insights from 80,000+ expert users

Elastic Search vs IBM Watson Discovery comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

Elastic Search
Ranking in Indexing and Search
1st
Average Rating
8.2
Number of Reviews
64
Ranking in other categories
Cloud Data Integration (11th), Search as a Service (1st), Vector Databases (1st)
IBM Watson Discovery
Ranking in Indexing and Search
3rd
Average Rating
7.8
Number of Reviews
4
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 IBM Watson Discovery is 3.7%, down from 6.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Indexing and Search
 

Featured Reviews

Saurav Kumar - PeerSpot reviewer
Mar 15, 2024
Provides us with the capability to execute multiple queries according to our requirements
I can describe a project where we use Elasticsearch, Logstash, and Kibana (ELK stack) for our archiving objectives. I work in the security department of a Fintech company in the payment industry. We use the ELK stack to connect our internal systems with the bank's systems and we used Beats for data…
Geraldo Lima - PeerSpot reviewer
Jan 12, 2023
Stable, scalable, and has testing and conversational AI features
The total time it takes to deploy IBM Watson Discovery depends on the documents you'll be working with. For example, I was in a situation where I was working with some painting files and folders for a painting store. The store had PDF documents, but the information was mixed up, so I had to treat the documents on IBM Watson Discovery, and discovering and understanding each PDF file took longer. The process is more straightforward for plain documents, and you have to work with questions that will help IBM Watson Discovery understand the documents. The time to deploy the product depends on the quantity and type of documents you'll be working with.

Quotes from Members

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

Pros

"The most valuable features are the detection and correlation features."
"The forced merge and forced resonate features reduce the data size increasing reliability."
"It's a stable solution and we have not had any issues."
"X-Pack provides good features, like authorization and alerts."
"I like how it allows us to connect to Kafka and get this data in a document format very easily. Elasticsearch is very fast when you do text-based searches of documents. That area is very good, and the search is very good."
"Elastic Enterprise Search is scalable. On a scale of one to 10, with one being not scalable and 10 being very scalable, I give Elastic Enterprise Search a 10."
"The solution is stable and reliable."
"The initial installation and setup were straightforward."
"The most valuable features of IBM Watson Discovery are the integration with the rest of the Watson Suite and the Watson Assistant capability. If you use Watson Assistant, the ability for it to be able to determine the accuracy of your voice models and your voice response systems is a benefit."
"Being able to have some rules to extract the entities is valuable. The capability to crawl external sites and internal documents, and then draw internal information with external contents is also valuable."
"Language support and the ability to build a natural language of speech recognition are the most valuable features."
"The most valuable feature of IBM Watson Discovery is testing, mainly because the product applies conversational AI, which means I can ask questions to get the information I want from a specific test area."
 

Cons

"There is a lack of technical people to develop, implement and optimize equipment operation and web queries."
"Elastic Enterprise Search could improve the report templates."
"The metadata gets stored along with indexes and isn't queryable."
"Both the graph feature and the reporting feature are a little bit lacking. The alerting also needs to be improved."
"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."
"Improving machine learning capabilities would be beneficial."
"I would like to see more integration for the solution with different platforms."
"There are probably other chatbots out there that were built for specific use cases and are easier to deploy than this. Having said that, Watson is way more flexible. While it may require a greater amount of effort, it is not substantially more than some of the other ones that are kind of prebuilt for a specific use case. It would be good to have more prebuilt and specific use cases and specific business models. It can have better phone integration, even though I think that it is actually becoming less of an issue. Most people are online nowadays."
"The pricing is an area for improvement in IBM Watson Discovery because the customer initially used the free version. Still, when he needed more questions and documents, he had to move to a different version, which was paid and cost $500 per month. That change in pricing made my company lose many customers."
"It needs a lot of memory. Our index is very big. It is around 100 gigabytes. So, we need more than 100 gigabytes of memory to use Watson."
"The support from IBM Watson Discovery is good but could improve to make it great."
 

Pricing and Cost Advice

"we are using a licensed version of the product."
"It can move from $10,000 US Dollars per year to any price based on how powerful you need the searches to be and the capacity in terms of storage and process."
"We are using the open-sourced version."
"The price could be better."
"Although the ELK Elasticsearch software is open-source, we buy the hardware."
"The solution is affordable."
"The tool is an open-source product."
"The solution is free."
"IBM Watson Discovery is an expensive product."
"Cost-wise, it is very reasonable because it is cloud-based."
report
Use our free recommendation engine to learn which Indexing and Search solutions are best for your needs.
814,649 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Computer Software Company
18%
Financial Services Firm
16%
Manufacturing Company
9%
Government
7%
Computer Software Company
22%
Government
16%
Financial Services Firm
14%
University
9%
 

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 would rate the pricing a seven out of ten, with one being high price and ten being low price. It could be cheaper for certain use cases, but since it gets the job done, no complaints for the pric...
What needs improvement with ELK Elasticsearch?
Elastic Search needs better guides for developers. Better guides for development.
What do you like most about IBM Watson Discovery?
The most valuable feature of IBM Watson Discovery is testing, mainly because the product applies conversational AI, which means I can ask questions to get the information I want from a specific tes...
What needs improvement with IBM Watson Discovery?
The pricing is an area for improvement in IBM Watson Discovery because the customer initially used the free version. Still, when he needed more questions and documents, he had to move to a differen...
 

Comparisons

No data available
 

Also Known As

Elastic Enterprise Search, Swiftype, Elastic Cloud
No data available
 

Learn More

Video not available
 

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.
Prudential, Bradesco, Woodside
Find out what your peers are saying about Elastic Search vs. IBM Watson Discovery and other solutions. Updated: October 2024.
814,649 professionals have used our research since 2012.