Atlassian Rovo Vs. Glean AI: How Do They Compare?
Hi everyone! For those considering AI tools and comparing Rovo to other options, my team put together an overview of Rovo vs. Glean based on key feature parity, integrations, and data models. Hope this is helpful :)
Search and Discovery
Rovo excels in knowledge retrieval with its AI-powered search engine, which enables employees to find essential information within and beyond the Atlassian ecosystem. Rovo Connectors further enhances its capabilities by linking to products like Slack, MS Teams, GitHub, Figma, Google Drive, and custom apps, offering seamless access to various platforms. Rovo delivers powerful, context-aware search results across connected systems. Expect to see 40+ connectors available by 2025.
Glean focuses on knowledge retrieval, providing an AI-powered search engine that helps employees locate essential documents, files, and data across platforms like Google Workspace, Microsoft 365, and Salesforce. Glean offers multiple connectors, although not all are all relevant for teamwork applications.
Both Rovo and Glean use Natural Language Processing (NLP) and Retrieval-Augmented Generation (RAG) powered by multi-model Large Language Models (LLMs). In addition, both tools aid in knowledge discovery.
Key Takeaway: Rovo and Glean excel at retrieving information from multiple platforms. However, Rovo connectors support key teamwork areas like Work Management, Software Development, and Service Management, and the number of available Connectors is only going to grow in the near future.
Knowledge Sharing
Rovo allows teams to deeply understand their company’s knowledge by learning as they work. Its AI-powered features include Chat, Knowledge Cards, and Definitions that help users find everything they need to know within the workflow. Knowledge Cards and contextual definitions provide in-depth snapshots of project details, objectives, team information, and insights directly within the workflow, enhancing the flow of teamwork and making knowledge more accessible and actionable.
In contrast, while Glean excels at contextualized search, it doesn’t go beyond that. Although Glean supports Chat, it lacks critical features like Knowledge Cards and Definitions, which are essential for maintaining a deep understanding of knowledge within the workflow. Rovo offers these features, promoting a more integrated and insightful knowledge-sharing approach.
Key Takeaway: If you’re looking for a solution that excels in search and deepens team understanding with integrated knowledge tools like Knowledge Cards and Definitions, Rovo is the superior choice. While strong in search, Glean doesn’t offer the same level of workflow integration.
AI Agents
Rovo Agents are highly sophisticated AI-powered “virtual teammates” that efficiently gather information, make decisions, and take actions to streamline workflows. They are designed with specific goals, powered by Atlassian’s Teamwork Graph, and can execute tailored actions. Rovo offers 20 ready-to-use agents and additional agents and apps through the Marketplace.
Customers can also develop custom agents using the Forge platform or the Atlassian no-code solution. These agents will support multiple large language models (LLMs), making them adaptable for various tasks. Rovo agents enable multi-agent and human collaboration, allowing them to handle more complex, multi-step workflows and offering deeper integration with company knowledge through contextualized actions.
Glean Agents, while user-friendly and accessible for non-programmers, offer no-code generative AI agents with basic functionality. Using the Glean Action SDK, agents can be integrated to perform up to five simple actions, such as updating a Google Doc, fetching a calendar invite, or creating a Jira issue. However, Glean does not yet offer the same breadth of agents as Rovo, and its functionality is limited when handling more advanced or multi-step workflows.
Key Takeaway: If you’re looking for customizable, powerful AI agents that can handle complex, multi-step workflows and foster collaboration, Rovo Agents are the best choice. Glean Agents are suitable for users seeking basic actions but do not yet offer the extensive capabilities and customization options that Rovo provides.
Integrations
Rovo integrates with Atlassian tools like Jira, Confluence, and Loom, making it perfect for businesses already using these platforms. You can also add Rovo Connectors; for coders or Github fans, there is even a Github Copilot extension. Glean also excels at integrating with many tools, such as Google Workspace, Microsoft 365, Slack, Dropbox, and Salesforce.
Key Takeaway: If your business revolves around Atlassian tools, Rovo is the clear winner.
Data Models
Rovo is built with the Teamwork Graph (TWG) in mind—it is Atlassian’s secret ingredient! It is a powerful tool that maps team relationships and interactions, enabling enhanced collaboration, productivity, and data-driven decision-making. Rovo leverages TWG to deliver richer, customized chat responses and empower its agents with precise, personalized actions based on your organization’s unique knowledge. This makes Rovo’s AI-powered assistants more effective in automating workflows and streamlining tasks tailored to your team’s context.
Glean’s Knowledge Graph is explicitly designed to enhance the search experience. Key components of the Glean Knowledge Graph include Pagerank, Anchors, Personalization, and Semantic Understanding, all of which are optimized for enterprise search. However, Glean’s data model is primarily built to improve search results, limiting its ability to support more complex, workflow-driven actions beyond search optimization.
Key Takeaway: Rovo’s use of the Teamwork Graph allows it to deliver tailored, context-aware actions and enhanced team collaboration, whereas Glean’s Knowledge Graph is focused on optimizing search functionality.