8 Best Glean Alternatives for Engineering Teams (2026)

Originally published at getunblocked.com on August 11, 2026.

Unblocked is the top Glean alternative for engineering teams in 2026, and the clearest evidence is what it removes from the calendar: at Fingerprint, VP of Engineering Ekan Subramanian reports his team saves 60 to 70 hours every week on internal Q&A. Some honesty before the list, though. If what you actually need is generic company-wide enterprise search across HR policies, sales decks, and legal contracts, several of the tools below fit that job better than Unblocked does. Unblocked is the pick when engineering is the team that hurts. Most searches for Glean alternatives start with sticker shock at custom quotes and seat minimums, then land on a second complaint: generic answers to engineering questions. This roundup covers 8 alternatives with real 2026 pricing and honest fit guidance for both situations.

Key Takeaways

• Unblocked is the top pick when engineering knowledge is the problem; Fingerprint reports 60 to 70 hours saved per week on internal Q&A.
• Onyx is the best open-source option: MIT-licensed, self-hostable, with a free community edition.
• Atlassian Rovo is the default if you already pay for Jira and Confluence; Notion AI wins if your company runs on Notion.
• Dashworks is the budget pick, with published pricing from $10 per seat per month.
• The deciding question is whether your pain is company-wide document search or engineering context scattered across code, PRs, and Slack.

How do the top Glean alternatives compare on pricing?

Glean does not publish list pricing. Buyer-reported data from Vendr puts the median Glean contract at $98,890 per year across 174 recorded purchases, with minimum commitments that often start around 100 to 250 users. That opacity is a big part of why teams comparison-shop in the first place, so here is the whole field in one table. Every figure below was re-verified against the live vendor pricing page in August 2026.

Tool	Starting Price	Free Tier	Contract Minimum
Unblocked	$19-$29/user/mo (annual, by plan)	21-day free trial	None stated
Guru	Custom / contact sales	Not published	Custom
Atlassian Rovo	Included with paid Jira/Confluence plans; Rovo Dev $20/dev/mo	Rovo credits included in paid plans	Requires a Jira or Confluence subscription
Notion AI	Included in Business plan at $20/member/mo	Limited AI trial on free plan	None
Dashworks	$10/seat/mo (annual)	14-day free trial	None on Team; 10 seats on Business
Onyx	Free self-hosted; Cloud $20/user/mo (annual)	Yes, open source	None
Microsoft 365 Copilot	$30/user/mo (annual)	No	Requires a Microsoft 365 subscription
Google Gemini Enterprise	$21/seat/mo (Business edition)	30-day trial	Business edition capped at 500 users; larger deployments custom
Glean (reference)	Custom / contact sales	No	100-250 users reported

Why are engineering teams looking for Glean alternatives in 2026?

Cost is the trigger that starts most comparisons of Glean competitors. A six-figure median contract and triple-digit seat minimums are hard to justify when only one department is in pain. But the complaint that sustains the search is answer quality on engineering questions.

Enterprise search tools rank documents. Engineering questions rarely live in one document. "Why does the billing service retry three times?" has its answer spread across a PR review thread, a Slack argument, and a config change from 2023. Sonar's State of Code developer survey found developers spend nearly a quarter of their work week on toil like debugging poorly documented legacy code. The same survey names finding information and understanding existing systems among the toil tasks that most hinder productivity. A search box that returns ten links does not reclaim that time; the difference between ranking documents and reasoning over them is the core of the context engine versus enterprise search distinction.

What should you look for in a Glean alternative?

Six criteria separate the field:

• Source coverage: does it read code, PRs, and review threads as first-class sources, or only docs and wikis?
• Answer quality: does it synthesize an answer with citations, or return a ranked list of links?
• Permissions: does it enforce the source system's access controls automatically?
• Deployment speed: days or quarters?
• Pricing transparency: published numbers or a sales call?
• Scope: engineering-specific depth or company-wide breadth?

That last criterion is where this market actually forks. If legal, HR, and sales all need search, shortlist the generic tools: Copilot, Gemini Enterprise, Dashworks. If the expensive questions come from engineers, you want a context engine, which is a different category than search, not a nicer version of it.

What are the best Glean alternatives for engineering teams?

1. Unblocked: best for engineering teams

Unblocked is a context engine for engineering teams, not a company-wide search box. It connects code, pull requests, Slack, Jira, Notion, and Confluence, then reasons across them to answer the questions search can't: why a system works the way it does, what was tried before, who decided. Answers are grounded in code, PRs, and the discussions around them rather than in documents alone, which is why it can serve as institutional memory for teams whose real knowledge never made it into a wiki. The same context layer also powers its AI code review, so the tool that answers your questions is grounded in the same history that reviews your pull requests.

Unblocked brings everything together. You don't have to go digging through tools. It just works.

— Wade Bruce, CTO, Fetch

The proof points are concrete: Fingerprint's 60 to 70 hours per week saved on Q&A, and pricing published at $19 to $29 per user per month depending on plan, with a 21-day free trial and no stated seat minimum.

The honest limit: Unblocked is deliberately not trying to index your HR handbook. If you need one tool for legal, sales, and engineering content, a generic option below fits better. For the direct feature-by-feature matchup, see the full Unblocked vs Glean comparison, or the three-way comparison with Augment if coding assistants are also on your list.

2. Guru: best for verified company wikis

Guru is a wiki and search hybrid whose distinctive feature is verification: subject-matter experts get prompted on a schedule to re-confirm that cards are still accurate, so answers carry a "verified" stamp with a name attached. For teams whose problem is stale, contradictory documentation, that workflow is genuinely useful, and Guru's AI answers inherit the trust of the verified content underneath.

The tradeoff is source depth on the engineering side. Guru reads knowledge that people wrote down; it is weaker on code, pull requests, and the discussion threads where engineering decisions actually happen. Pricing has also moved away from self-serve: Guru no longer publishes tiered pricing and instead scopes each contract through a sales consultation, which puts it in the same opaque bucket as Glean on the transparency criterion.

3. Atlassian Rovo: best if you already live in Jira and Confluence

Rovo is Atlassian's AI search and agent layer, and its pitch is that you may already own it: Rovo is included with Standard, Premium, and Enterprise cloud plans for Jira and Confluence, with usage metered in Rovo credits instead of a separate per-seat fee. Rovo Dev, the developer-focused agent, is priced separately at $20 per developer per month with 2,000 credits included.

If your team's knowledge already lives in Atlassian's ecosystem, that bundling makes Rovo the cheapest experiment on this list. The limit is the flip side: Rovo is strongest inside Atlassian's own graph. Connectors reach outward, but teams whose critical context lives in Slack threads and GitHub review comments will find the answers thinner there, and you cannot buy Rovo without the underlying Atlassian subscription.

4. Notion AI: best for Notion-centric teams

Notion AI answers questions across your Notion workspace and connected apps, and its economics are simple: AI is included in the Business plan at $20 per member per month, with a limited trial on the free plan. For companies that already run their docs, projects, and meeting notes in Notion, that means enterprise Q&A arrives as a plan upgrade rather than a new procurement cycle.

The boundary is Notion's orbit. Knowledge inside the workspace is well served; knowledge outside it, especially code and pull requests, is second-class. Notion AI can search some connected tools, but it does not reason over a repository's history or a review thread's back-and-forth. Treat it as the answer layer for the company wiki rather than for the engineering org's tribal knowledge.

5. Dashworks: best budget AI search assistant

Dashworks is a Slack-first AI search assistant with the most approachable pricing on this list: the Team plan runs $10 per seat per month billed annually ($12 monthly), with a 14-day free trial, no credit card, and no seat minimum. The Business tier adds custom bots and org-wide integrations at $12 per seat annually with a 10-seat minimum. Setup is fast because it works where your team already asks questions.

What you give up is depth. Dashworks federates search across connected apps and drafts answers from what it finds, which works well for support-style questions with a documented answer. It is lighter on reasoning over engineering artifacts, so "why" questions that span a PR, a Slack thread, and a config change will stretch it. As a low-risk pilot for general-purpose AI search, it is the easiest start here.

6. Onyx: best open-source alternative

Onyx (formerly Danswer) is the self-hosting route: the community edition is MIT-licensed and free with more than 50 connectors out of the box, and the managed cloud offering runs $20 per user per month billed annually. For organizations where data residency or air-gapped deployment is non-negotiable, it is the only credible option on this list, since everything can run inside your own VPC.

The cost shows up in operations instead of licensing. You own the upgrades, the index, the model configuration, and the connector maintenance, and that adds up to a real engineering commitment. Answer quality also depends heavily on how well you tune it. Choose Onyx when control is the requirement; choose a managed tool when speed matters more.

7. Microsoft 365 Copilot: best for Microsoft-first enterprises

Microsoft 365 Copilot costs $30 per user per month billed annually, on top of a qualifying Microsoft 365 subscription. What you get is permission-aware search and chat across the Microsoft Graph: SharePoint, Teams, Outlook, OneDrive, and the Office apps themselves. For an enterprise standardized on Microsoft, that is a huge surface area with governance already handled, and procurement is an add-on to a contract you already have.

Coverage thins quickly outside that graph. Connectors exist for third-party sources, but the experience is built around Microsoft's own estate, and engineering systems like GitHub (despite shared ownership), Jira, and Slack sit outside the default value. If your knowledge lives in Office documents and Teams messages, Copilot is the obvious pick; if it lives in repos and review threads, it is a complement rather than an answer.

8. Google Gemini Enterprise: best for Google Cloud shops

Gemini Enterprise is Google's entry, launched in late 2025 as the successor to Agentspace. Pricing is published: the Business edition starts at $21 per seat per month for teams of up to 500 users with a 30-day trial, and Standard and Plus editions start at $30 per seat through sales. The agent platform underneath adds usage-based billing for compute and storage, so total cost scales with how heavily you build on it.

The fit is Google-shaped: Workspace content, BigQuery, and Google Cloud services are first-class, and the agent-building tooling is further along than most rivals'. The caution is maturity. The platform has been renamed and rebundled within the last year, larger contracts remain custom-quoted, and the usage-based components make budgeting less predictable than a flat per-seat tool.

How do you choose between them?

Match the tool to your situation instead of the feature grid:

• Engineering knowledge is the pain: Unblocked.
• You already pay Atlassian: try Rovo first, since the credits are bundled.
• Company runs on Notion: Notion AI is one plan upgrade away.
• Self-hosting is mandatory: Onyx, and budget the ops time honestly.
• Microsoft or Google estate: Copilot or Gemini Enterprise respectively.
• Small budget, general-purpose need: Dashworks.
• Documentation trust is the real problem: Guru.

Price the shortlist with the table above, remembering that the bundled options (Rovo, Notion AI, Copilot) are only cheap if you already pay for the platform underneath. If several tools tie, source coverage should break the tie; our roundup of AI tools for engineering teams goes deeper on evaluating that.

Frequently asked questions

What is the best Glean alternative for engineering teams?

Unblocked. It reasons across code, PRs, Slack, Jira, Notion, and Confluence rather than ranking documents, and customers report large concrete savings: Fingerprint's VP of Engineering cites 60 to 70 hours per week recovered from internal Q&A. For a feature-level breakdown, read the Unblocked vs Glean comparison.

Is there a free or open-source alternative to Glean?

Yes. Onyx is MIT-licensed and free to self-host, with a managed cloud tier at $20 per user per month. If you already pay for Jira or Confluence, Atlassian Rovo is effectively free to try since credits are bundled with paid plans. Notion's free plan includes a limited Notion AI trial.

How much does Glean cost compared to alternatives?

Glean is custom-quote only. Vendr's buyer data shows a median contract of $98,890 per year, with minimums often reported between 100 and 250 users. The alternatives here publish prices from $10 to $30 per user per month, and several (Rovo, Notion AI) are bundled into subscriptions you may already carry.

What is the difference between enterprise search and a context engine?

Enterprise search indexes documents and ranks them against your query; a context engine connects code, PRs, and conversations, then reasons across them to produce an answer with sources. Search tells you where information might be; a context engine tells you why things are the way they are. The full comparison walks through the architecture behind that difference.

Shortlisting for your evaluation

A practical shortlist has three tools on it: one engineering-specific option (Unblocked), one from the ecosystem you already pay for (Rovo, Copilot, Notion AI, or Gemini Enterprise), and one wildcard (Onyx if self-hosting matters, Dashworks if budget does). Then run the same test on all three: pull the last ten real questions from your team's Slack history, ask each trial verbatim, and score the answers against what a senior engineer would say. That test is hard to game, and it is where the gap between ranking documents and reasoning over engineering context shows up. If engineering is the team that hurts, start a free trial of Unblocked and run those ten questions against your own repos and Slack first.