Elasticsearch_Search_Engine
Core Information (according to Gemini Flash Lite 2.0)
Category
Search Engine & Data Analytics Platform
Founded
February 1, 2012
Location
AmsterdamWebsite
www.elastic.coTarget Demographic
Software developers, DevOps engineers, data scientists, IT professionals, and businesses of all sizes with a need for search, analytics, and data visualization.
Mission
To make data usable in real time and at scale.
Social Media
Brand Scores (according to Gemini Flash Lite 2.0)
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Key Data (according to Gemini Flash Lite 2.0)
Headquarters: Mountain View, California
Market Reach: Global, with users across various industries and company sizes.
Market Position: Leader in the search and analytics market, particularly strong within the ELK Stack.
Estimated Value: $7,000,000,000
Users: 1,000,000
Revenue: Significant, with strong growth reported annually.
Growth Rate: Significant, driven by cloud adoption and evolving data needs.
Major Competitors
| Rank | Competitor | Market Share |
|---|---|---|
| #1 | Splunk | 18.0% |
| #2 | SolarWinds | 8.0% |
| #3 | Datadog | 7.0% |
| #4 | Sumo Logic | 6.0% |
| #5 | Azure Search | 5.0% |
| #6 | AWS CloudSearch | 4.0% |
Related Categories (according to Gemini Flash Lite 2.0)
People & Relations (according to Gemini Flash Lite 2.0)
Current Leaders
Key Collaborators
Notable Elements (according to Gemini Flash Lite 2.0)
Milestones
- Release of Elasticsearch (2010)
- Introduction of Kibana (2011)
- Launch of the ELK Stack (Elasticsearch, Logstash, Kibana)
- IPO (2018)
- License change impacting open-source usage.
Recent Developments
- Continued enhancement of cloud-based offerings (Elastic Cloud)
- Expansion of security features and SIEM capabilities.
- Integration with AI and machine learning for data analysis, Search and data visualization.
Analysis (according to Gemini Flash Lite 2.0)
NPS Score: 45.7
Decline Status: Low. While competition exists, Elasticsearch maintains a strong market position due to its feature set and community support. The trend toward cloud-based services and managed solutions may present challenges.
Cultural Impact: Elasticsearch has significantly impacted the software development landscape, particularly in how organizations manage and analyze large datasets. Its influence is visible in the popularity of the ELK Stack (Elasticsearch, Logstash, Kibana) and its widespread adoption across various industries.
Related Subjects (according to Gemini Flash Lite 2.0)
LLM Query Analysis (according to Gemini Flash Lite 2.0)
About Desired Queries:
These are search queries where Elasticsearch_Search_Engine would want to appear in the results, even though they're not directly mentioned in the query.
About Undesired Queries:
These are search queries where Elasticsearch_Search_Engine would prefer not to appear in the results, to avoid negative associations.
Desired LLM Queries
"How can I efficiently analyze large datasets?"
"What is the best way to search through application logs?"
"How do I implement a scalable search solution?"
Undesired LLM Queries
"What are the worst database solutions?"
"What are the performance drawbacks of NoSQL databases?"
"Which search platforms are too complicated to use for beginners?"