

What is Elastic Observability?
Elastic Cloud is the best way to consume all of Elastic's products across any cloud. Easily deploy in your favorite public cloud, or in multiple clouds, and extend the value of Elastic with cloud-native features. Accelerate results that matter, securely and at scale.
Company Details
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Get AssistanceElastic Observability Ratings
Real user data aggregated to summarize the product performance and customer experience.
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Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.
88 Likeliness to Recommend
1
Since last award
100 Plan to Renew
83 Satisfaction of Cost Relative to Value
2
Since last award
Emotional Footprint Overview
- Product Experience:
- 83%
- Negotiation and Contract:
- 80%
- Conflict Resolution:
- 84%
- Strategy & Innovation:
- 86%
- Service Experience:
- 90%
Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.
+85 Net Emotional Footprint
The emotional sentiment held by end users of the software based on their experience with the vendor. Responses are captured on an eight-point scale.
How much do users love Elastic Observability?
Pros
- Effective Service
- Respectful
- Helps Innovate
- Continually Improving Product
How to read the Emotional Footprint
The Net Emotional Footprint measures high-level user sentiment towards particular product offerings. It aggregates emotional response ratings for various dimensions of the vendor-client relationship and product effectiveness, creating a powerful indicator of overall user feeling toward the vendor and product.
While purchasing decisions shouldn't be based on emotion, it's valuable to know what kind of emotional response the vendor you're considering elicits from their users.
Footprint
Negative
Neutral
Positive
Feature Ratings
Content Aggregation
Results Sorting
Content Analytics
Processing and Indexing
Search Query Parsers
Advanced/Faceted search
AI/Machine Learning
Synonyms and Stemming
User interface for search/retrieval
Multi Format Support
Social Network Awareness
Vendor Capability Ratings
Business Value Created
Quality of Features
Availability and Quality of Training
Ease of Customization
Product Strategy and Rate of Improvement
Ease of Data Integration
Breadth of Features
Vendor Support
Usability and Intuitiveness
Ease of Implementation
Ease of IT Administration
Also Featured in...
Elastic Observability Reviews
- Role: Information Technology
- Industry: Engineering
- Involvement: End User of Application
Submitted Mar 2022
ELASTICSEARCH best search engine with format data
Likeliness to Recommend
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing
Please tell us why you think this review should be flagged.
- Role: Information Technology
- Industry: Engineering
- Involvement: IT Leader or Manager
Submitted Apr 2021
Likeliness to Recommend
Pros
- Saves Time
- Acts with Integrity
- Effective Service
- Caring
Please tell us why you think this review should be flagged.

Sunny H.
- Role: Information Technology
- Industry: Technology
- Involvement: End User of Application
Submitted Nov 2021
Fast & efficient way to store, search and analyze
Likeliness to Recommend
What differentiates Elastic Observability from other similar products?
1. The Query DSL is very easy to learn & apply for our various search operations on our data. 2. Supports geographical data for location-based search. 3. Provides various text analysis functionality for my application's data.
What is your favorite aspect of this product?
1. With Elastic search, we analyze logs of our microservices-based application to fix bugs. 2. With ElasticSearch, we accumulate data across the microservices of our product for visualization & other business purposes. 3. The benefit of elastic search is that, since data is in JSON format, all our microservices can easily change the data structure.
What do you dislike most about this product?
1. Multiple services concurrently updating the same elastic search index create an issue with our data. 2. Traditional ways to store data like Oracle SQL Database used to handle this problem much better
What recommendations would you give to someone considering this product?
1. With Elastic search, we analyze logs of our microservices-based application to fix bugs. 2. With ElasticSearch, we accumulate data across the microservices of our product for visualization & other business purposes. 3. The benefit of elastic search is that, since data is in JSON format, all our microservices can easily change the data structure.
Please tell us why you think this review should be flagged.
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