Atlassian vs Elastic
Relationship
Assembled from the recorded fields for this pair, not hand-checked. The comparison below is read from each company’s own profile.
Aligned comparison
Capability overlap
Shared · 4
Not verified for Elastic · 8
Recorded for Atlassian. Elastic’s product records say nothing either way — a missing record is not a missing capability.
Not verified for Atlassian · 5
Recorded for Elastic. Atlassian’s product records say nothing either way — a missing record is not a missing capability.
Products, side by side
Algorithmic pairing — assembled from recorded fields, not hand-checked
Atlassian
Application
Workforce-planning app in the Atlassian Strategy Collection that maps positions, skills and capacity to strategic initiatives so leaders can see how each initiative is staffed and spot gaps. Atlassian titles it 'AI-first Workforce Planning' and promises 'intelligent workforce planning guidance', but the product page names no specific AI mechanism beyond that.
External customer-service app sold only inside the Atlassian Service Collection: AI agents built in Agent Studio resolve common requests and escalate complex ones, a Rovo-powered omnichannel workspace keeps each customer's conversation in one thread, Voice AI answers calls and turns them into work items with transcripts, and human agents get AI help finding answers and summarising issues.
AI feature suite inside Loom (owned by Atlassian) that automatically generates titles, summaries and chapters, and converts recorded videos into documents, Jira/Linear issues or messages.
Agent platform
AI that connects across Jira, Confluence and a team's other work through the Teamwork Graph -- contextual search and answers plus agents that automate workflow steps.
A no-code workspace inside Rovo for building, deploying and governing AI agents, automations and apps against Atlassian's Teamwork Graph.
Elastic
Application
An AI security-operations layer that correlates alerts from a customer's existing security tools, prioritizes threats and guides response workflows without replacing their SIEM.
GenAI- and ML-driven capability inside Elastic Observability that automatically detects, diagnoses and helps resolve operational issues, providing recommended actions for SREs.
Monitoring capability inside Elastic Observability for generative-AI and agentic applications: performance, cost control, guardrail tracking and reliability for GenAI workloads.
Agentic security-operations platform unifying SIEM, XDR and native automation, with autonomous agents handling detection-to-response workflows and purpose-built AI skills for threat hunting, alert analysis and detection engineering; supports multiple LLMs including on-premises models.
Agent platform
A builder for custom AI agents that answer questions and take actions over data indexed in Elasticsearch, using configurable tools, skills and prompts.
An automation engine that runs both scripted steps and AI agents which reason through investigations and execute response actions against data in Elasticsearch.
No counterpart
Atlassian sells these in a stack layer with no product recorded for Elastic yet — nothing on the other side to compare them against.
API service
A hosted Model Context Protocol server that lets external LLMs, IDEs and agent platforms securely search and fetch data from Jira, Confluence and other Atlassian Cloud products.
AI agent
Atlassian's agentic AI coding product for the software development lifecycle, available as a CLI, a VS Code extension, and inside Bitbucket Cloud and GitHub, covering planning, code generation, code review and automation.
Elastic sells these in a stack layer with no product recorded for Atlassian yet — nothing on the other side to compare them against.
Platform
A conversational assistant embedded in Kibana that answers natural-language questions against a customer's own indexed data across Elastic's Observability, Security and Search solutions.
Model API
Hosted inference endpoint that runs Elastic-managed LLMs, the ELSER sparse-embedding model and third-party embedding models for ingest, search and chat without provisioning ML nodes in a customer's own Elasticsearch deployment.