Rovo vs Glean (2026): Atlassian AI or Cross-App Search?

In the Rovo vs Glean decision, pick Atlassian Rovo if your company runs on Jira and Confluence, and pick Glean if your company knowledge is scattered across dozens of other SaaS apps and finding it is the main problem. Rovo comes with paid Atlassian Cloud plans and is metered in Rovo credits; Glean is a separate enterprise search and agent platform with 275+ connectors, sold on a quote.

Both are serious products. Rovo is Atlassian's AI layer, built on its Teamwork Graph and woven into Jira, Confluence, Jira Service Management and Loom. Glean started as enterprise search and grew into an assistant and agent platform that sits across every app a company uses. I read Atlassian's and Glean's own pricing pages and documentation on October 19, 2026, and every fact about either product below links to its source.

Pricing matters more than usual here. Atlassian changed how Rovo is metered in 2026, and billing for usage beyond the included credits starts on December 3, 2026. Most older Rovo vs Glean comparisons predate that change.

Rovo vs Glean at a glance

What is the difference between Atlassian Rovo and Glean?

The difference is where each product starts. Rovo starts inside Atlassian. Glean starts from search across every app.

Rovo is "Atlassian's AI built for teamwork," embedded in Jira, Confluence, Teamwork Collection and Service Collection and powered by the Teamwork Graph, which Atlassian calls its "context layer" across first- and third-party tools (Atlassian Rovo licensing). In practice that means Rovo Search, Rovo Chat and Rovo agents that already understand your Jira work items, Confluence pages, spaces, teammates and projects, with third-party apps added through connectors.

Glean indexes your apps through 275+ out-of-the-box connectors, builds a company knowledge graph on top, and serves answers in its own app and inside Slack, Zoom, Microsoft Teams, GitHub and Miro (Glean Enterprise Flex docs). Jira and Confluence are two sources among hundreds, not the center of the product.

So the real question is which data your AI should treat as home. If the answer is "our Jira projects and Confluence spaces," Rovo has a head start no outside vendor can match. If the answer is "everything, wherever it lives," Glean was built for that. For the category view, see what a context layer is and how a context graph differs from a knowledge graph.

Rovo vs Glean pricing: is Rovo free with Jira and Confluence?

Rovo has no separate seat price. Atlassian includes Rovo credits in all paid Jira, Confluence, Service Collection and Teamwork Collection cloud subscriptions, pools them across the organization, and resets them monthly with no rollover (Atlassian support, How Rovo credits work).

How far those credits go depends on what people do. On Atlassian's current rate card, Rovo Search inside Atlassian apps, definitions and summaries are free. A Rovo Chat quick answer or a basic agent run costs 10 credits per event. Think deeper mode, advanced agents with model selection and the Jira coding agent use a variable number of credits. Enriched Teamwork Graph calls, including searches made through the Rovo MCP server from Claude or ChatGPT, mostly cost 1 to 10 credits each (same source).

A worked example: a 200-person company on Jira Premium and Confluence Premium gets 200 × 70 × 2 = 28,000 credits a month. At 10 credits per basic chat, that is about 2,800 quick answers a month across the whole company, or 14 per person, before any premium agent work. Beyond the allowance, Atlassian lists extra usage at $0.01 per credit, or $10 per 1,000 credits, with prepaid packs and volume discounts. Extra usage is on by default, admins can cap or disable it, and billing for it takes effect on December 3, 2026 (Atlassian Rovo licensing FAQ). Teamwork Collection carries 10x the allowance of standalone apps, which is Atlassian's own answer for heavy users.

The base plans are public too. Atlassian's Jira pricing page showed Standard at $8.48 and Premium at $15.56 per user per month in its default view on October 19, 2026, with Rovo Search, Chat and Agents listed in Standard; the per-user rate changes with team size and billing term. Rovo Dev, Atlassian's coding agent, is priced separately at $20 per developer per month.

Glean does not publish prices. Its Enterprise Flex model combines a per-user seat with a pooled allowance of FlexCredits. Standard-model Thinking and Adaptive queries are included up to 100 per user per week, while agent runs, premium models, slide generation and meeting notes consume FlexCredits (Glean docs). Buyer-reported contracts on Vendr show a median of $98,890 a year across 174 purchases, a range of $29,880 to $208,897, and minimum commitments often around 100 to 250 users. Those are buyer reports, not Glean's price list. The full breakdown is in Glean pricing.

The short version: if you already pay for Atlassian Cloud Standard or above, Rovo costs nothing extra until your organization uses up its pooled credits. Glean is a new line item with a typical enterprise minimum.

Which connects to more tools, Rovo or Glean?

Glean, by count. Glean lists 275+ connectors and says all source permissions are inherited and permission changes are reflected immediately (Glean).

Atlassian's developer documentation says it provides 100 out-of-the-box Teamwork Graph connectors, and teams can build custom connectors on Forge. Read the connector list closely, because it mixes two kinds. Admin-managed connectors index content so Rovo can search and reason over it. Smart Link connectors turn pasted URLs into previews and need no admin setup (Atlassian admin guide). Only the first kind gives Rovo real context.

The gaps matter for revenue teams. Atlassian's connector directory includes Slack, Google Drive, Gmail, SharePoint, Microsoft Teams, GitHub, Figma, Notion, Zendesk, ServiceNow and HubSpot. Salesforce and Gong were not on it when I checked on October 19, 2026. Atlassian Marketplace partners fill some of that, such as Unito's Salesforce connector for Rovo (Atlassian blog), but that is another vendor to evaluate.

On Atlassian data itself, Rovo is the stronger reader. Glean's Jira connector retrieves projects, issues, comments and custom fields and can create and edit tickets, yet Rovo works from Atlassian's own graph of work items, pages, teams and their links.

How do Rovo and Glean handle permissions?

Both say users only see what they could already open in the source app. The details differ.

Atlassian says "Rovo synchronises with access controls and permission settings from connected third-party apps" and listens for permission changes to update its index (Rovo data, privacy and usage guidelines). Two practical notes from the same page: for some connectors, such as Google Drive, each user links their Atlassian account to the source before results appear, and Rovo indexes the entire workspace of a connected app unless you add a blocklist (available for Google Drive and SharePoint). Rovo Chat and agent inputs and outputs are retained for 30 days, and indexed content is deleted within 30 days of disconnecting an app.

Glean states that all permissions are inherited and strictly enforced, with real-time permission sync (Glean). Its MCP server runs every tool call as the signed-in user and "cannot elevate privileges beyond the underlying Glean user identity" (Glean MCP security docs).

Neither model is weaker on paper. In a pilot, test the two or three sources where your most sensitive data lives, and check how quickly a permission change in the source shows up in answers.

Rovo agents vs Glean agents

Both products now build agents that take action, not just answer questions.

Rovo agents live in Rovo Studio, a builder workspace where people describe a problem in natural language and Studio helps create agents, automation flows and no-code apps. Agents can follow multi-step scenarios and take action in Jira and Confluence, and flows can respond to events and run actions across Atlassian and connected third-party apps (What is Rovo Studio?). Atlassian also ships out-of-the-box agents, such as Request Router and the Jira Delivery agent, plus Rovo apps for Slack and Microsoft Teams.

Glean Agents run in Auto mode for open-ended research and drafting, or Workflow mode for fixed, step-by-step processes. They start manually, on a schedule, or when external content changes, and Independent Agents keep running without an active user session (Glean docs). Agent runs consume FlexCredits. This guide to the Glean Agent Builder walks through setup.

The practical split: Rovo agents are the natural choice for work that ends in Jira or Confluence, such as triaging requests, updating work items or drafting pages. Glean agents are built to work across the wider set of apps Glean connects.

Where is each one stronger?

Where Atlassian Rovo is stronger

• Included in what you already pay for. Every paid Atlassian Cloud plan carries a Rovo credit allowance, so there is no procurement cycle to start.
• Deepest Atlassian context. Rovo works from the Teamwork Graph, which already maps Jira work items, Confluence pages, teams and owners.
• Actions inside Jira and Confluence. Agents and automation flows in Studio act on work items and pages natively.
• Transparent overage price. $0.01 per credit is public, and admins can cap or turn off extra usage.

Where Glean is stronger

• Breadth. 275+ connectors, including Salesforce, versus 100 out-of-the-box Teamwork Graph connectors.
• Search across everything. Search is Glean's original product, with permission-aware results across every connected source.
• Compliance list. Glean's pricing page lists SOC 2 Type II, ISO 27001, ISO 42001, HIPAA, GDPR and TX-RAMP Level 2 (Glean).
• Model choice. Glean says it supports 40+ LLMs, and it runs inside Slack, Teams, Zoom, GitHub and Miro.

Can you use Rovo and Glean together?

Yes. Glean offers an Atlassian Rovo integration, in beta, that uses Atlassian's Rovo MCP server so Glean can create Jira issues and update Confluence pages. Atlassian's Rovo MCP server also connects Atlassian data to ChatGPT, Claude, Cursor and VS Code.

The cost is two context layers. Rovo holds the Atlassian picture plus whatever you connect to it, Glean holds its own index, and each meters usage in its own credits. Enriched Teamwork Graph calls through the Rovo MCP server draw on your Rovo credit pool too, so an outside AI tool querying Atlassian context is not free after December 3. Before buying both, write down which questions each tool will own. For the MCP side of this, see Glean MCP explained and the Jira MCP guide.

Where does Coworker fit across Atlassian and non-Atlassian tools?

Coworker fits when Jira and Confluence are only part of your company's context and the rest lives in Slack, Salesforce, HubSpot, Gong, Zoom and Google Workspace, and when you want that full picture inside the AI tools your people already use.

Coworker is an enterprise AI platform built on OM2, its organizational memory. OM2 is a permission-aware knowledge graph built from 50+ connected tools, Jira and Confluence included. It maps the people, companies, projects and deals across those tools, keeps the graph current as new data flows in, and carries each source's access policies with every fact, so a person or an agent only recalls what they are already allowed to see. Coworker's CEO describes it this way: "You can think of OM2 as a context graph."

• One context layer across both worlds. Jira tickets, Confluence pages, Slack threads, Salesforce opportunities and Gong calls feed the same graph, so a question like "what is blocking the Acme renewal?" can draw on all of them. The full list is on the connectors page.
• Inside Claude and ChatGPT. Coworker MCP brings OM2 into Claude, ChatGPT, Cursor and any MCP client, with each person's source permissions applied. It works as a memory MCP for the whole company rather than one user.
• Agents that act, with approval gates. Business users build agents with triggers, schedules and approval steps. After a customer call, an agent can open the Jira ticket, update the Salesforce opportunity and draft the follow-up, with a person confirming the ticket and CRM writes.
• Lower token cost on retrieval-heavy work. In Coworker's own benchmark, Claude using OM2 through Coworker MCP used 9x fewer tokens than Claude using its native connectors on retrieval and context-heavy tasks, with Coworker Learning on and no change of model (methodology on the benchmarks page; statistically significant benchmarks comparing Coworker MCP vs. Claude native tooling).

OM2 runs on isolated single-tenant infrastructure in Coworker's cloud or via VPC, and Coworker holds SOC 2 Type II, GDPR and CASA Tier 2. Standard onboarding takes 2 to 5 business days. For direct comparisons, see Coworker vs Rovo and Coworker vs Glean.

How to choose between Rovo, Glean and Coworker

Whichever way you lean, run a pilot with 10 to 20 real questions your team asked last month, including a few that cross Atlassian and non-Atlassian tools. Score each answer on whether it was right, whether it cited the source, and whether it respected who is allowed to see what. Then check the meter: how many Rovo credits or FlexCredits the pilot used.

If Coworker sounds like the right fit, book a demo and I will show OM2 running on your Jira, Confluence and the tools around them.

Frequently asked questions

Is Rovo free with Jira and Confluence?

Rovo has no separate seat price. Paid Jira, Confluence, Service Collection and Teamwork Collection cloud plans include a monthly Rovo credit allowance, from 25 credits per user on Jira Standard to 1,500 on the Enterprise Collections. Usage beyond the pooled allowance is billed at $0.01 per credit from December 3, 2026.

How much does Glean cost compared to Rovo?

Glean does not publish pricing. Buyer-reported contracts on Vendr show a median of $98,890 a year, with minimums often around 100 to 250 users. Rovo is included in paid Atlassian Cloud plans, with extra usage at $0.01 per Rovo credit.

Does Rovo connect to Salesforce?

Salesforce was not in Atlassian's own Rovo connector directory when checked on October 19, 2026. Atlassian Marketplace partners such as Unito sell Salesforce connectors for Rovo. Glean and Coworker both connect to Salesforce natively.

Is Glean better than Rovo?

Glean is better for permission-aware search across many non-Atlassian apps, with 275+ connectors. Rovo is better for work inside Jira and Confluence, and it comes with paid Atlassian Cloud plans. The right pick depends on where most of your company's knowledge lives.

Can Glean create Jira issues?

Yes. Glean's Jira connector can create and edit tickets and add comments, and Glean's beta Atlassian Rovo integration uses the Rovo MCP server to create Jira issues and update Confluence pages from Glean.

Can I use Rovo in Claude or ChatGPT?

Yes. Atlassian's Rovo MCP server connects to ChatGPT, Claude, Cursor and VS Code. Enriched Teamwork Graph calls through it consume Rovo credits, mostly 1 to 10 credits per call, per Atlassian's rate card.

What is the best alternative to Rovo and Glean for teams on Jira plus Salesforce and Slack?

Coworker connects Jira and Confluence alongside Slack, Salesforce, HubSpot, Gong and 50+ tools into OM2, a permission-aware context graph. It runs no-code agents that update those systems with approval gates and brings the same context into Claude and ChatGPT through Coworker MCP.

Related reading

• Coworker vs Atlassian Rovo
• Glean vs Copilot
• Glean alternatives
• Glean pricing
• Confluence AI alternatives
• What is a context layer?