Best Knowledge Management Software (2026): Top 10 Compared
Compare buyer fit, pricing notes and trade-offs. How entries are ordered.
Compare at a glance
Select a vendor for details and sources. Scroll the table horizontally on smaller screens.
| Vendor | Consider for | Pricing notes |
|---|---|---|
| Confluenceenterprise | Teams already inside the Atlassian ecosystem needing a wiki tied to Jira | Free for up to 10 users; Standard from $5.42/user/month billed annually (checked Sep 2026) |
| Gleanenterprise | Large enterprises unifying search and AI answers across every workplace app | Quote-based (checked Sep 2026) |
| Notionmid-market | Teams that want a wiki, project workspace and AI agents in one product | Free plan; Plus from $10/member/month billed annually (checked Sep 2026) |
| Guruspecialist | Organizations that want governed, verified knowledge fed into existing AI tools | Quote-based (checked Sep 2026) |
| Zendesk Guideenterprise | Customer support organizations building a self-service help center with AI deflection | From $55/agent/month billed annually for the Suite Team plan that includes the AI knowledge base (checked Sep 2026) |
| Stack Internal (formerly Stack Overflow for Teams)specialist | Engineering organizations wanting a Q&A-style internal knowledge base | Quote-based (checked Sep 2026) |
| Document360specialist | Teams publishing internal and external documentation from one authoring platform | Quote-based (checked Sep 2026) |
| Helpjuicespecialist | Small and mid-sized support teams wanting a fully customized knowledge base design | From $249/mo for 30 users (checked Sep 2026) |
| Slabmid-market | Small and mid-sized teams wanting a simple, low-cost company wiki | Free for up to 10 users; Startup from $6.67/user/month billed annually (checked Sep 2026) |
| Tettrasmb | Slack-centric teams wanting AI-answered questions from an internal wiki | From $8/user/month, 10-user minimum; billed annually saves 20 percent (checked Sep 2026) |
These comparisons draw on public product information, not hands-on testing of every tool. Source records identify available references and checks; missing evidence is marked. Buyer fit is an editorial assessment, not a measured performance score. How to use this research.
Knowledge management software has split into two connected layers. The first is where content lives and gets written: internal wikis such as Confluence, Notion, Slab and Tettra, and customer-facing help center platforms such as Zendesk Guide, Document360 and Helpjuice. The second, newer layer sits on top of that content and answers questions directly, through a help-center chatbot, a Slack bot, or an enterprise search product such as Glean or Guru spanning many tools at once. Most vendors compared here now offer some version of both, blurring what used to be a clean split between authoring tools and search tools.
Pricing patterns follow a similar split. Confluence, Notion, Slab, Helpjuice and Tettra publish per-user or flat monthly rates a buyer can estimate before contacting sales. Glean, Guru, Document360 and Stack Internal have moved to fully quote-based pricing, scoped to an organization’s footprint rather than sold off the shelf. Zendesk publishes per-agent rates but gates its AI-powered knowledge base behind a mid-tier plan. The comparison orders the products by category fit, implementation tradeoffs and the pricing information available, with all pricing notes were recorded in September 2026.
Vendor details and trade-offs
Confluence
enterpriseConfluence is a cloud-based knowledge and collaboration workspace built by Atlassian, the company that also makes Jira and Trello. The product organizes content into pages and spaces, with databases for structured records and whiteboards for visual planning, sitting inside the same account and permission model as the rest of the Atlassian suite. That integration is the main reason engineering and product organizations already running Jira tend to default to Confluence for their internal wiki.
Confluence also ships Rovo, Atlassian's AI layer, which adds search, chat and agents that work across connected apps and data sources, not only Confluence pages. Templates cover common document types such as product requirement documents and program plans, whiteboards support real-time brainstorming, and automation rules can archive stale content or notify teams on triggers. Page insights and audit logs give administrators visibility into who is editing and viewing content once a wiki grows past a single team.
Pricing is published and tiered by user count. Free covers up to 10 users with 2 GB of storage and community support. Standard costs $5.42 per user per month billed annually, raising storage to 250 GB, adding guest access and page permissions, and supporting up to 250,000 users on one site. Premium costs $10.44 per user per month billed annually and adds unlimited pages, spaces and storage plus a 99.9 percent uptime SLA and 24/7 support for critical issues. Enterprise is quote-only, available only on annual billing, and adds multiple sites and advanced admin controls. Confluence suits organizations already standardized on Atlassian tools; it fits less well a small team wanting a flat, simple monthly bill without per-user tiers.
Potential strengths
- Deep integration with Jira and the wider Atlassian ecosystem for teams already using those tools
- Rovo AI adds cross-app search, chat and content-generation agents on top of company knowledge
- Free plan supports up to 10 users with 2 GB of storage and no time limit
Trade-offs
- Per-user pricing plus separate charges for automation and AI can raise total cost as a team scales
- Enterprise pricing and multi-site licensing are quote-only and available only on annual billing
- Product reference
- Pricing source
- Billing terms: billed annually
- Source review: checked Sep 8, 2026
- Vendor confirmation: not confirmed
Glean
enterpriseGlean is an enterprise AI platform, built by Glean Technologies, that turns scattered company knowledge into a single search and answer layer for both people and AI agents. Rather than hosting content the way a wiki does, Glean indexes what already exists across an organization's own tools, then applies permissions, ranking and a chosen language model to answer questions with citations back to the original source. The company positions this as infrastructure for enterprise AI adoption rather than as a document editor in its own right.
The pricing page lists more than 275 connectors into applications such as Slack, Google Drive, Jira, Confluence, SharePoint, GitHub and Salesforce, letting one search query span all of them at once. Glean states support for more than 40 underlying large language models, so an organization can route queries to the model it already trusts. Security is built around permission-aware retrieval, meaning search results and generated answers respect each user's existing access rights. Certifications listed include SOC 2 Type II, ISO 27001, ISO 42001, HIPAA and GDPR alignment, alongside full observability over every query and answer.
No price appears anywhere on the public site; the pricing page is built entirely around booking a demo rather than displaying tiers or a calculator, consistent with Glean's positioning as an enterprise-wide platform sold through a sales process. It suits large organizations that already have fragmented knowledge spread across many SaaS tools and want one governed AI layer over all of it. It is a poor match for a small team that wants to publish and browse a wiki directly, since Glean is not a content-authoring tool.
Potential strengths
- Connects to more than 275 workplace apps and data sources to build one unified search index
- Permission-aware answers ensure users and AI agents only see content they are already authorized to view
- Supports more than 40 underlying language models so buyers are not locked to a single AI vendor
Trade-offs
- No self-serve pricing of any kind is published; every deployment requires a sales conversation
- The product is scoped for company-wide rollout rather than a single team's lightweight knowledge base
- Product reference
- Product documentation
- Pricing source
- Billing terms: Not recorded
- Source review: checked Sep 11, 2026
- Vendor confirmation: not confirmed
Notion
mid-marketNotion is a workspace platform, built by Notion Labs, that combines documents, databases, wikis and, more recently, AI agents inside a single interface. Unlike a purpose-built knowledge base, Notion treats a wiki as one use of a flexible block-based canvas that also runs project tracking, forms and internal sites, which is why the vendor markets it as a single tool to run an entire company rather than one department.
The product page highlights Custom Agents that answer questions, route tasks or summarize reports on a schedule, alongside Notion Agent for ad hoc work and Enterprise Search, which the vendor states is a top-rated AI enterprise search product on G2. Content is organized in pages and databases with subtasks, dependencies and custom properties, and Notion AI can draft, summarize or translate text inside a page. The vendor states adoption across 62 percent of the Fortune 100 and more than half of Y Combinator companies.
Pricing is published clearly by plan. Free costs nothing, with unlimited blocks for individuals and a trial of Notion AI. Plus costs $10 per member per month billed annually, or $12 billed monthly, and adds custom forms, sites and unlimited file uploads. Business costs $20 per member per month billed annually, or $24 billed monthly, and adds Notion Agent, AI Meeting Notes, Enterprise Search and SAML SSO. Enterprise is custom priced and adds SCIM provisioning, audit logs and zero data retention with LLM providers. Notion fits teams that want documentation, project work and light automation under one bill; it is weaker for a team that only needs a simple customer-facing help center.
Potential strengths
- Combines a wiki, project databases and AI agents in a single per-seat product
- Enterprise Search and Notion Agent surface company knowledge without switching tools
- Free plan gives individuals unlimited blocks and a trial of Notion AI at no cost
Trade-offs
- Monthly billing costs $2 more per member per month than the standard annual rate on Plus and Business
- The AI capabilities that make it a genuine knowledge layer are concentrated in Business and above
- Product reference
- Pricing source
- Billing terms: billed annually
- Source review: checked Sep 8, 2026
- Vendor confirmation: not confirmed
Guru
specialistGuru is a knowledge management platform, made by Guru Technologies, that positions itself as a governed knowledge layer for both employees and the AI tools an organization already uses across its business. Rather than a wiki that people browse directly, Guru is built around structuring, verifying and continuously correcting scattered knowledge so that answers stay accurate as source content changes, then exposing that layer to other AI systems through the Model Context Protocol.
The pricing page describes the product as pairing full platform access with a team of solution engineers who handle knowledge architecture, AI agent configuration, integration rollout and a change management playbook, rather than a self-service setup. Capabilities highlighted include detecting conflicting or duplicate content, drafting documents from Slack threads, flagging stale pages, routing unanswered questions to the right expert, and citing sources with lineage on every AI-generated answer. The vendor lists more than 100 integrations, including Slack, Microsoft Teams and Confluence, plus centralized audit logs and permission-aware answers across every consumer, human or AI.
Guru publishes no price on its site at all; the pricing page states that investment is tailored to an organization's scale, knowledge complexity and AI maturity, with the exact package scoped during an initial sales conversation. That structure, and the inclusion of a dedicated services team, makes Guru closer to a managed knowledge program than an off-the-shelf subscription. It suits organizations that already have AI tools in production and need the underlying knowledge those tools draw on to be trustworthy. It is a poor fit for a small team that wants to self-serve a wiki and see a price first.
Potential strengths
- Verification workflows and correction propagation keep answers current across every connected tool
- Delivers governed knowledge to external AI assistants and agents through MCP rather than only its own app
- SOC 2 Type II, HIPAA-ready posture and built-in DLP masking are included in the base platform
Trade-offs
- No published price of any kind; every engagement requires a scoping conversation with the vendor
- The offering is built around a bundled expertise team rather than a self-serve software purchase
- Product reference
- Product documentation
- Pricing source
- Billing terms: Not recorded
- Source review: checked Sep 11, 2026
- Vendor confirmation: not confirmed
Zendesk Guide
enterpriseZendesk Guide is the knowledge base component of the Zendesk customer service platform, built by Zendesk, and now sold as part of the Zendesk Suite rather than as a fully standalone product. It is designed for customer-facing self-service: a public or gated help center where customers search for articles before, instead of, or during a support ticket, connected directly to the same ticketing system agents use for what self-service does not resolve on its own.
The product page describes generative AI tools that turn bullet points into full articles and adjust tone, alongside generative and semantic search that returns relevant results even when a customer's phrasing does not match article text exactly. AI agents, which Zendesk states are trained on more than 18 billion real support interactions, can connect directly to the knowledge base to answer customers automatically and reduce ticket queues. A self-service portal lets customers browse articles and community discussions together, and administrators can update multiple articles at once.
Pricing is published on the main Zendesk pricing page rather than a separate Guide page, since the knowledge base now ships inside Suite plans. Support Team costs $19 per agent per month billed yearly but does not include the AI knowledge base. Suite Team, at $55 per agent per month billed yearly, adds AI agents, the AI-powered knowledge base and omnichannel routing. Suite Professional costs $115 per agent per month billed yearly and adds skills-based routing and AI-driven reporting. Suite Enterprise pricing is quote-only. Zendesk suits support organizations that want self-service and ticketing under one bill; it is excessive for a team needing only an internal wiki.
Potential strengths
- AI agents can connect directly to the knowledge base to resolve customer tickets without a human agent
- Generative and semantic search return relevant articles even when a question is phrased loosely
- Bulk article updates and a self-service customer portal keep large help centers maintainable
Trade-offs
- The entry-level Support Team plan at $19/agent/month excludes the AI knowledge base entirely
- Pricing is per support agent seat, which scales quickly for organizations with large support headcount
- Product reference
- Product documentation
- Pricing source
- Billing terms: billed annually
- Source review: checked Sep 11, 2026
- Vendor confirmation: not confirmed
Stack Internal (formerly Stack Overflow for Teams)
specialistStack Overflow for Teams, now marketed by its maker as Stack Internal (formerly Stack Overflow for Teams), is the private knowledge base product built by Stack Overflow, adapted from the question-and-answer format of the public site for use inside a single organization. Where a traditional wiki is authored top-down, this product is built around questions, answers and the same reputation and verification signals that made the public site a trusted reference for developers.
The vendor describes a three-step model of capture, validate and organize: content is pulled automatically from AI tools, chat threads and existing wikis and broken into discrete units of knowledge, each carrying authorship, recency, usage and conflict-detection signals so readers and AI agents can judge how much to trust an answer. Automatic subject-matter-expert validation is triggered only when critical gaps appear, rather than requiring every page to be manually reviewed. Integrations include Slack, Microsoft Teams, a read API, and single sign-on with SAML and Okta from the entry paid tier upward.
Pricing is quote-based. The vendor's own pricing page states plainly that a prospective buyer must contact the company for pricing, with no free tier or named plan level published as of September 2026. The product suits engineering-heavy organizations comfortable with a Q&A format; it fits less well where content needs polished, narrative documentation.
Potential strengths
- Formerly published a free tier for up to 50 users, though the current pricing page shows no published tiers and routes every prospect to sales
- Captures knowledge automatically from Slack threads and connected wikis rather than only manual pages
- Community-style verification and a visible trust signal on each answer mirror the public Stack Overflow model
Trade-offs
- The product was renamed to Stack Internal, so vendor materials mix both names
- No tier or feature breakdown is published; every plan detail now requires a sales conversation
- Product reference
- Product documentation
- Pricing source
- Billing terms: Not recorded
- Source review: checked Sep 11, 2026
- Vendor confirmation: not confirmed
Document360
specialistDocument360 is a knowledge base authoring platform, built by Kovai, aimed at teams that need to publish both internal documentation and a customer-facing help center from the same underlying source content. The product separates a Portal, used by writers and reviewers to author and manage content, from a Site, the published output that customers or employees actually read, letting one team run a full editorial review workflow without exposing any draft content externally to readers.
The vendor lists coverage across help centers, product and user documentation, internal knowledge bases, SOPs, API documentation and AI-ready content, positioning the product for any of those use cases individually or together. Eddy AI is the platform's generative AI layer, covering technical writing assistance, an AI chatbot that answers questions from published content, and tools to import from PDF and Word and export back to PDF. Additional features include a custom workflow builder for review and approval, SSO and SCIM for enterprise identity, article analytics, and Mermaid diagram support for technical documentation.
Document360 no longer publishes fixed pricing tiers anywhere on its site. The pricing page instead runs a short questionnaire about what the buyer wants to build and why, then routes to a sales conversation; no dollar figures, plan names or per-user rates appear anywhere on the page. The company states SOC 2 Type II and ISO 27001:2022 certification and cites a 4.7-out-of-5 rating with recognition as a G2 leader in the knowledge base category. Document360 suits organizations needing both internal and customer-facing documentation under one workflow; it is weaker for a buyer wanting a published price before engaging sales.
Potential strengths
- Serves internal knowledge bases, external help centers, SOPs and API docs from a single platform
- Eddy AI covers writing assistance, chatbot answers and content restructuring in one add-on suite
- SOC 2 and ISO 27001:2022 certification support regulated buyers evaluating security posture
Trade-offs
- The pricing page no longer lists fixed plan tiers; every quote is generated through a sales questionnaire
- Buyers cannot compare a published price against competitors without first speaking to the vendor
- Product reference
- Product documentation
- Pricing source
- Billing terms: Not recorded
- Source review: checked Sep 11, 2026
- Vendor confirmation: not confirmed
Helpjuice
specialistHelpjuice is a knowledge base platform, built by Helpjuice, aimed at teams that want a polished, brand-matched help center or internal wiki without assembling the design work themselves. Its central pitch is that every plan includes a fully customized knowledge base design, handled by Helpjuice's own team, rather than leaving customers to configure a generic template, so the finished result feels tailor-made because it genuinely is hand-skinned by a designer.
Beyond design, the platform includes a knowledge base planner for brainstorming topics in a kanban view, live collaboration and review workflows, localization into more than 50 languages with one-click AI article translation, and usage analytics to see which articles are read and which searches return no results. Swifty, the vendor's AI layer, provides AI-generated answers, AI-powered search and a chatbot embedded on a website or inside the knowledge base. A browser extension lets users capture web pages directly into articles.
Pricing is published by user-count tier rather than per seat. The base Custom plan costs $249 per month for up to 30 users and 12 GB of storage but excludes the AI Suite. The AI-Powered plan costs $449 per month for up to 100 users, 24 GB of storage and adds SSO, plus the full AI Suite -- AI Writer, AI Search, AI Chatbot and the auto-updating browser extension -- at no additional cost. The top published plan costs $799 per month for unlimited users and 38 GB of storage. Helpjuice suits teams that want a fully designed, ready-to-use knowledge base without an in-house designer; it is a costlier starting point than seat-based competitors for a very small team.
Potential strengths
- Entry Custom plan includes a hand-built, brand-matched design rather than a generic template
- Swifty AI chat and AI search are included at no extra cost from the AI-Powered plan upward
- Article translation into more than 50 languages is available in a single click
Trade-offs
- The entry plan excludes the AI Suite, which only appears starting on the $449/mo tier
- Plans are priced by flat user bands rather than metered per seat, which can waste allowance for small teams
- Product reference
- Product documentation
- Pricing source
- Billing terms: Not recorded
- Source review: checked Sep 11, 2026
- Vendor confirmation: not confirmed
Slab
mid-marketSlab is a knowledge base and wiki product, built by Slab, aimed squarely at company-wide documentation rather than project management or customer support. The vendor describes it as a best-in-class product that is not trying to replace the rest of a team's software stack, instead focusing on making writing, organizing and finding internal knowledge easy for technical and non-technical staff alike.
The product centers on a modern editor that the vendor says makes content look good by default, so writers spend less time fixing formatting. Slab Topics organize and add context to content beyond what folders and tags provide, intended to help new hires and cross-functional teammates browse company policy and process documentation without already knowing where to look. Unified Search extends across Slab's own posts and every integrated tool at once, rather than requiring a separate search inside each app. Slab also ships AI Autofix, AI Predict and AI Ask on its higher tiers, plus SAML-based SSO, SCIM provisioning and audit logs for larger deployments.
Pricing is published and simple. Free supports up to 10 users, 10 MB attachments and 90 days of version history. Startup costs $6.67 per user per month billed annually, or a higher monthly rate, removes the user cap, and adds AI Autofix and 365 days of version history. Business costs $12.50 per user per month billed annually and adds AI Predict, AI Ask, SAML SSO, SCIM and a GraphQL API. Enterprise requires at least 100 users and is quote-only through sales. Slab suits small and mid-sized teams wanting a focused wiki at a low seat price; it is weaker for organizations needing deep native AI search across many external sources.
Potential strengths
- Startup plan at $6.67 per user per month billed annually undercuts most enterprise wiki pricing
- Unified Search spans Slab plus connected apps rather than confining search to Slab's own pages
- Topics organize content with context rather than relying on folders and tags alone
Trade-offs
- AI Autofix, Predict and Ask capabilities are absent on Free and only partially available on Startup
- Enterprise pricing and its 100-user minimum are quote-only through a sales conversation
- Product reference
- Product documentation
- Pricing source
- Billing terms: billed annually
- Source review: checked Sep 11, 2026
- Vendor confirmation: not confirmed
Tettra
smbTettra is an internal knowledge base built by Tettra Inc. and aimed specifically at teams that field the same questions repeatedly in Slack and want those answers automated rather than repeated by hand. Its pitch is narrower than a general-purpose wiki: capture the organization's knowledge once, then let an AI bot named Kai answer questions from it directly inside Slack channels and direct messages, rather than sending people to search a separate application.
Content can be created natively in Tettra's editor or pulled in from Google Docs, PDFs, Notion and local files, so teams migrating from another tool are not forced to rewrite everything before launch. Kai searches that content to answer a teammate's question instantly, and when it cannot find an answer it helps route the question to the right person. Knowledge automation features include stale-page reports, unowned-content reports and a verification workflow so subject-matter experts periodically confirm important pages remain accurate, plus API access and usage analytics for administrators.
Pricing is published as a single paid tier plus an enterprise option. Scaling costs $8 per user per month with a 10-user minimum, and the pricing page advertises a 20 percent discount for annual billing, though the exact annual dollar figure is not shown on the page. It includes the AI features, Slack integration, Google Workspace integration, usage analytics and API access; single sign-on and SCIM provisioning are paid add-ons on this tier. Enterprise is quote-only and bundles SSO, SCIM, hands-on onboarding and custom reporting as standard. Tettra suits Slack-native teams whose main problem is repetitive questions; it is weaker for organizations needing a customer-facing help center.
Potential strengths
- Kai answers repetitive Slack questions automatically by searching existing Tettra content
- Existing content from Google Docs, Notion and local files can seed the wiki without re-authoring it
- Page verification and stale-content reports keep subject-matter experts accountable for accuracy
Trade-offs
- The Scaling plan carries a 10-user minimum, so a very small team pays for unused seats
- SSO and SCIM are paid add-ons on Scaling and only included outright on the quote-only Enterprise plan
- Product reference
- Product documentation
- Pricing source
- Billing terms: billed annually
- Source review: checked Sep 11, 2026
- Vendor confirmation: not confirmed
Frequently asked questions
What counts as knowledge management software?
Knowledge management software covers tools that capture, organize, search and deliver an organization's information, whether the audience is internal staff or external customers. That spans traditional wikis such as Confluence and Slab, workspace platforms such as Notion, customer-facing help center software such as Zendesk Guide and Document360, Q&A-style internal tools such as Stack Overflow for Teams, and newer AI search and answer layers such as Glean and Guru that sit across many of those systems at once.
What is the difference between an internal wiki and a customer-facing knowledge base?
An internal wiki, such as Confluence, Notion, Slab or Tettra, is built for employees to document processes, decisions and institutional knowledge behind a login. A customer-facing knowledge base, such as Zendesk Guide or Document360, is built to be published publicly or to logged-in customers, with self-service search, article analytics and integration into a support ticketing system so unanswered questions can be escalated. Some products, including Document360, explicitly support both from one platform with separate internal and external sites.
Which knowledge management vendors publish self-serve prices?
Confluence, Notion, Slab, Helpjuice and Tettra publish fixed per-user or per-seat rates on their pricing pages, ranging from $5.42 to roughly $13.50 per user per month for entry paid tiers, plus flat monthly bands on Helpjuice starting at $249. Glean, Guru, Document360 and Stack Overflow for Teams publish no price at all and route every prospect through a sales conversation. Zendesk publishes per-agent pricing, but the tier that includes its AI-powered knowledge base starts at $55 per agent per month rather than its cheapest listed plan.
Is AI search and answer generation now standard in this category?
It is close to standard among the vendors compared here. Confluence, Notion, Guru, Zendesk, Document360, Slab and Tettra all ship a named AI feature -- Rovo, Notion AI, Kai, Swifty and Eddy AI among them -- for search, drafting or automated answers. Glean is built around AI search and answers as its entire purpose rather than an add-on. Stack Overflow for Teams and Helpjuice's base plan are the more notable exceptions, with AI search either limited to higher tiers or absent from the cheapest plan.
How should this comparison be used?
Use the documented product fit, source status, pricing and trade-offs to build a shortlist, then validate each finalist against your requirements, current vendor documentation and representative workflows.
Should a small team choose a general workspace tool or a dedicated knowledge base product?
A general workspace tool such as Notion or Confluence suits a team that also wants project tracking, databases and light automation alongside documentation, and is willing to pay per seat for that breadth. A dedicated product such as Slab or Tettra is usually simpler to roll out for documentation alone and can be less expensive at small team sizes. The right choice depends on whether the wiki needs to stand alone or plug into work a team is already tracking elsewhere in the same tool.
What should a support team weigh when choosing a customer-facing knowledge base?
The main considerations are whether the tool needs to connect to an existing ticketing system, how article search handles loosely phrased questions, and whether AI deflection is included at the entry price point or gated behind a higher tier. Zendesk Guide ties directly into Zendesk's ticketing and AI agents but only includes its AI knowledge base from the $55 per agent per month tier. Document360 and Helpjuice both support a public help center without requiring a separate ticketing purchase, which suits a team that does not already run Zendesk or a similar platform.
Do enterprise AI search tools like Glean replace a wiki entirely?
No. Glean is built to search and answer across content that already exists in other systems, including a wiki, rather than to author or store that content itself. An organization still needs a place where knowledge is written and maintained, such as Confluence, Notion or a help center platform, and Glean, or a comparable layer such as Guru, then indexes that content alongside chat, email and other tools to answer questions across all of it in one place with permission-aware results.
Suggest a vendor or correction
Send product details or factual corrections to editorial@statwharf.com. Corrections are free. For paid profile services, contact partnerships; payment does not determine editorial coverage or ordering.
First published September 2026. Page update dates reflect editorial changes, not a fresh check of every vendor.