Open-source company transitioning to cloud and AI. Values technical partnerships and ecosystem integrations.
Discovery Questions
Tailored questions to ask on your call, based on research findings:
- 1
“How is Elastic positioning against observability-focused competitors like Datadog?”
- 2
“What's driving the cloud transition and how is adoption progressing?”
- 3
“How does the ESRE approach to AI search differ from vector-only approaches?”
- 4
“What role does the open-source community play in product strategy?”
Talking Points
- 1
Cloud transition is the strategic priority - Elastic Cloud growing faster than self-managed
- 2
AI/ML for search relevance (ESRE) is the current innovation focus
- 3
Open-source roots create strong developer community
- 4
Competition with Splunk (now Cisco) intensifying in observability and security
About
Elastic is the company behind Elasticsearch, the distributed search and analytics engine. The Elastic Stack (Elasticsearch, Kibana, Logstash, Beats) is used for search, observability, and security use cases. Elastic Cloud is the managed service offering.
Target market: Enterprises needing search, log analytics, observability, and SIEM capabilities
Tech Stack
Core
Stack
Cloud
AI
Hiring Signals
By Department
Primary Focus: Expanding Engineering team
Recent News
Competitive Landscape
This research brief is generated for demonstration purposes.Elastic is a trademark of its respective owner. Prepd is not affiliated with Elastic.