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Compare Elastic Observability and IBM Watson Discovery 
At a Glance
Market Segments
Enterprise (46.2% of reviews)
Enterprise (42.7% of reviews)
Entry-Level Pricing
No pricing available
Free
Elastic Observability
Star Rating
(80)4.2 out of 5
Market Segments
Enterprise (46.2% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Elastic ObservabilityIBM Watson Discovery
Star Rating
(97)4.5 out of 5
Market Segments
Enterprise (42.7% of reviews)
Entry-Level Pricing
Free
Browse all 4 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Elastic Observability excels in Multi-Site Monitoring, allowing for comprehensive oversight across various locations, while IBM Watson Discovery shines in Search Analytics, providing advanced capabilities for analyzing search data.
- Reviewers mention that Elastic Observability's Real-Time Monitoring feature is robust, enabling immediate insights into system performance, whereas IBM Watson Discovery's Natural Language Processing capabilities are highly praised for their effectiveness in understanding user queries.
- G2 users highlight that Elastic Observability offers superior Integrations with various tools, making it easier to incorporate into existing workflows, while IBM Watson Discovery is noted for its Automated Tagging feature, which streamlines data organization and retrieval.
- Users on G2 report that Elastic Observability's Dashboards and Visualizations are highly customizable, providing users with tailored views of their data, while IBM Watson Discovery's Data Discovery feature is recognized for its ability to uncover insights from large datasets efficiently.
- Reviewers say that Elastic Observability's Alerts and Notifications system is effective but can be overwhelming due to the volume of alerts, whereas IBM Watson Discovery's Faceted Search is appreciated for its user-friendly interface that simplifies the search process.
- Users report that while Elastic Observability has a solid Performance Monitoring capability, IBM Watson Discovery's AI Text Summarization feature stands out for its ability to condense large volumes of text into concise summaries, enhancing productivity.
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Pricing
Entry-Level Pricing
Elastic Observability
No pricing availableIBM Watson Discovery
1. LITE
Free
Assumes average document size. Storage limits may also apply. When you upgrade to a paid plan, you'll keep any content you have ingested.
- 0-1,000 documents
- 200 news queries
- 1 custom model
Free Trial
Elastic Observability
Free Trial is available
IBM Watson Discovery
Free Trial is available
Ratings
Meets Requirements
8.7
60
8.7
56
Ease of Use
7.2
62
9.0
56
Ease of Setup
6.5
19
8.4
23
Ease of Admin
6.6
19
8.2
22
Quality of Support
7.5
52
8.5
52
Has the product been a good partner in doing business?
7.6
15
7.9
23
Product Direction (% positive)
7.7
61
8.5
53
Features by Category
Functionality
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Monitoring
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Administration
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Analysis
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Functionality
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Issue Resolution
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Visibility
9.2
6
Not enough data
8.3
6
Not enough data
7.8
6
Not enough data
Monitoring and Management
9.0
5
Not enough data
7.8
6
Not enough data
8.9
6
Not enough data
Data Sources
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Analytics
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Metrics
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Compatibility
8.1
6
8.4
25
7.5
6
8.3
27
7.2
6
8.3
24
Search Queries
8.1
7
7.6
26
8.6
7
7.9
25
8.6
7
8.6
28
8.8
7
8.6
28
8.6
6
8.9
29
Functionality
8.6
7
8.7
26
8.9
6
9.1
26
9.2
6
8.7
28
Data Preparation
8.7
5
Not enough data
9.0
5
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Analysis
9.0
5
Not enough data
8.7
5
Not enough data
8.7
5
Not enough data
9.3
5
Not enough data
8.7
5
Not enough data
Not enough data
Not enough data
Visualization
9.3
5
Not enough data
9.7
5
Not enough data
Application Performance Monitoring (APM)Hide 14 FeaturesShow 14 Features
Not enough data
Not enough data
Monitoring
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Response
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Performance
Not enough data
Not enough data
Not enough data
Not enough data
Functionality
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Categories
Categories
Shared Categories
Elastic Observability and IBM Watson Discovery are categorized as Enterprise Search Software
Unique Categories
Elastic Observability is categorized as Log Analysis, Log Monitoring, IoT Analytics Platforms, Application Performance Monitoring (APM), Cloud Infrastructure Monitoring, Website Monitoring, and AIOps Platforms
IBM Watson Discovery has no unique categories
Reviews
Reviewers' Company Size
Elastic Observability
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
IBM Watson Discovery
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
Information Technology and Services
25.6%
Computer Software
21.8%
Internet
7.7%
Retail
3.8%
Marketing and Advertising
3.8%
Other
37.2%
Computer Software
13.3%
Information Technology and Services
12.0%
Accounting
8.0%
Higher Education
6.7%
Banking
6.7%
Other
53.3%
Most Helpful Reviews
Elastic Observability
Most Helpful Favorable Review
Timothy S.
Verified User in Internet
It's open source, free, fast and the basic stack is quick to install and get running. The fact that it is well bundled with ELK (log stash and kibana) make it awesome for aggregating and searching logs. it also works really well as a cache for...
Most Helpful Critical Review
Евгений .
Verified User in Computer Software
I don't like the following: 1) Why Java and Ruby? Why not just Ruby or Java? I have to configure how to run java, jruby and after that I faced with the Ruby errors of some plugin... AAA!! 2) I don't understand configuration, what should i chose: embedded...
IBM Watson Discovery
Most Helpful Favorable Review
Kavish S.
Verified User in Writing and Editing
The use of artificial intelligence to find out the right combination of API's and fine tuning of queries while analyzing an interpreting of data or trends. Also the use of machine learning in this product has also helped me a lot, it also includes natural...
Most Helpful Critical Review
Verified User in Consumer Goods
The pricing is slightly higher given the amount of usage in the companies. It is productive to hire a data scientist to get insights at a much cheaper cost. Reduce pricing for more adoption
Timothy S.
Verified User in Internet
It's open source, free, fast and the basic stack is quick to install and get running. The fact that it is well bundled with ELK (log stash and kibana) make it awesome for aggregating and searching logs. it also works really well as a cache for...
Kavish S.
Verified User in Writing and Editing
The use of artificial intelligence to find out the right combination of API's and fine tuning of queries while analyzing an interpreting of data or trends. Also the use of machine learning in this product has also helped me a lot, it also includes natural...
Евгений .
Verified User in Computer Software
I don't like the following: 1) Why Java and Ruby? Why not just Ruby or Java? I have to configure how to run java, jruby and after that I faced with the Ruby errors of some plugin... AAA!! 2) I don't understand configuration, what should i chose: embedded...
Verified User in Consumer Goods
The pricing is slightly higher given the amount of usage in the companies. It is productive to hire a data scientist to get insights at a much cheaper cost. Reduce pricing for more adoption
Discussions
what is the best way to sync data with elastic search from SQL server
3 comments
AT
I'm here to help with translations from an unknown language to English. If you have a text in an unknown language that needs translation, please provide it,...Read more
Do elastic search use indexes to store the information.
1 comment
AD
I'll take a stab at answering this question though I'm not 100% sure exactly what you are after.
The way I would explain it is that in elasticsearch an...Read more
Can I use Elasticsearch for free?
1 comment
GO
https://www.elastic.co/pricing/faq
Self-Managed: Yes. From the very beginning, the Elastic Stack — Elasticsearch, Kibana, Beats, and Logstash — has been...Read more
IBM Watson Discovery has no discussions with answers
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