Glean is an enterprise "Work AI" platform that unifies search, assistants, and agents over a permission-aware knowledge graph. But depending on whether you want a turnkey assistant, a Microsoft- or Google-native option, or a way to give your own agents governed access to enterprise data, another tool may fit better.
The best alternatives to Glean are CData Connect AI, Microsoft 365 Copilot, Google Gemini Enterprise, ChatGPT Enterprise, Coveo, and Elastic. This guide breaks down what each is best for, where it falls short, and how to choose.
Key takeaways
Glean is a strong turnkey assistant and agent platform grounded in a unified index of company knowledge, but it centers on knowledge/search and its own agents.
If you want to give your own agents and frameworks governed, live query access to operational databases and warehouses, CData Connect AI is the closer fit.
Microsoft 365 Copilot and Google Gemini Enterprise are the natural ecosystem-native alternatives; ChatGPT Enterprise leads on model quality.
Coveo and Elastic compete on search relevance and custom RAG foundations.
Decide between a ready-made assistant and a connectivity layer for your agents.
Understanding Glean
Glean indexes data across business applications into a permission-aware knowledge graph, then layers search, an assistant, and an agent platform on top. It also operates as an MCP server and gateway, and it's aimed at enterprises that want AI grounded in company knowledge out of the box.
Teams look for Glean alternatives when they're standardized on Microsoft or Google, when they prioritize frontier-model reasoning, when they need custom search/RAG, or when they want governed live access to operational data for their own agents rather than a packaged assistant.
The best Glean alternatives
1. CData Connect AI
CData Connect AI is a managed Model Context Protocol (MCP) platform for enterprise data. With Connect AI, your AI agents and assistants gain governed, live access to hundreds of enterprise data sources through a single endpoint. Rather than copying data into a new system, Connect AI queries each source directly and passes through the user's existing roles and permissions, so agents inherit the governance an organization already trusts.
Key advantages
One managed MCP endpoint to hundreds of sources: databases, cloud warehouses, SaaS apps, APIs, and files. AI-agnostic across Claude, ChatGPT, Microsoft Copilot Studio, Cursor, LangChain, n8n, and any MCP-capable client.
Semantic intelligence: full-fidelity access to each service's data model, including custom objects and fields, so LLMs can find and use relationships within and across services, query push-down and a lean token footprint, universal tools for the most exploratory, probabilistic workflows, and custom MCP toolkits for deterministic workflows (covering every level of the spectrum of autonomy).
Passthrough authentication so agents inherit each user's roles and permissions (with downscoping available); RBAC; complete, user-attributed audit logging; OAuth 2.1/PKCE, SSO, and TLS 1.3.
No data copies, certified SOC 2 Type II and ISO/IEC 27001, with governed, traceable write-back. A free Developer Edition and an open-source Python SDK round out the managed remote MCP servers. See the Quick Start Guide to set up your first connection.
Best for: Enterprise teams that need agents to reach real business data (databases, warehouses, and SaaS apps) under existing governance, without building or maintaining connectors themselves.
Trade-offs: It's a connectivity and governance layer, not an agent builder or workflow suite. You bring your own agent framework or AI client on top.
2. Microsoft 365 Copilot
Microsoft 365 Copilot is a Graph-grounded assistant with agent-building via Copilot Studio, embedded across Teams, SharePoint, and Outlook.
Best for: Microsoft-centric enterprises that want assistants and agents grounded in their Microsoft 365 data.
Trade-offs: Strongest inside the Microsoft ecosystem; access to non-Microsoft data is less native, and it's priced per user.
3. Google Gemini Enterprise
Google Gemini Enterprise (formerly Agentspace) combines enterprise search, chat, and agents across Google Workspace and third-party apps.
4. ChatGPT Enterprise
ChatGPT Enterprise pairs OpenAI's frontier models with enterprise controls and connectors to company data.
Best for: Teams that prioritize top-tier reasoning and model access with enterprise administration.
Trade-offs: Native enterprise context and governance are thinner than a purpose-built knowledge platform, and you're tied to OpenAI models.
5. Coveo
Coveo is an ML-driven relevance and enterprise/commerce search platform now layered with generative answering.
6. Elastic
Elastic (Elasticsearch and Elastic AI) is a developer-centric search and RAG foundation for building custom enterprise AI.
Best for: Teams that want to build their own search, RAG, or agent stack on a flexible foundation.
Trade-offs: Build-it-yourself rather than a turnkey assistant; requires engineering investment.
Glean alternatives compared
| Best for | Connectivity (source types) | Governance & auth | Data approach | Deployment |
CData Connect AI | Governed agent access to enterprise data | Databases, warehouses, SaaS, files, APIs | Passthrough auth, RBAC, full audit, SOC 2 / ISO | Live query, no copies | Managed + embedded SaaS |
Glean | Turnkey assistant + agents on company knowledge | Indexed apps (knowledge graph) | Permission-aware index, RBAC | Indexed + MCP gateway | Managed cloud |
Microsoft 365 Copilot | Assistant/agents on Microsoft 365 | Microsoft Graph + connectors | Entra ID, MS compliance | Assistant + Copilot Studio | Managed (Microsoft) |
Google Gemini Enterprise | Search + agents (Google) | Workspace + third-party apps | Google Cloud IAM | Search + agent platform | Managed (Google) |
ChatGPT Enterprise | Frontier-model assistant | Connectors to company data | Enterprise admin controls | Assistant + connectors | Managed (OpenAI) |
Coveo | Relevant search + gen answers | Enterprise/commerce content | Access controls | Search + generative | Managed cloud |
Elastic | Custom search/RAG foundation | Your indexed data | Your controls | Search / RAG engine | Self-hosted / cloud |
How to choose a Glean alternative
Governed live access to operational data for your own agents → CData Connect AI
Microsoft-native assistant and agents → Microsoft 365 Copilot
Google-native search and agents → Google Gemini Enterprise
Strongest reasoning → ChatGPT Enterprise
Search relevance or custom RAG → Coveo or Elastic
Frequently asked questions
What are the best alternatives to Glean?
The strongest alternatives include CData Connect AI (governed data connectivity for agents), Microsoft 365 Copilot and Google Gemini Enterprise (ecosystem-native assistants), ChatGPT Enterprise (frontier models), and Coveo and Elastic (search and RAG).
What's the best Glean alternative for connecting agents to live data?
CData Connect AI, which gives your own agents and frameworks governed, live query access to hundreds of operational sources, including databases and warehouses, rather than a packaged assistant over indexed knowledge.
Is CData Connect AI a good alternative to Glean?
It depends on the goal. Glean is a turnkey assistant and agent platform over company knowledge; Connect AI is the connectivity layer that gives your agents governed, live access to operational data. Some teams use both, Glean for knowledge, Connect AI for live data.
How do I choose between Glean and its alternatives?
Decide whether you want a ready-made assistant (Glean, Microsoft 365 Copilot, ChatGPT Enterprise), ecosystem-native search (Gemini Enterprise, Coveo, Elastic), or governed live data access for your own agents (Connect AI).
Does Glean support MCP?
Yes, Glean operates as an MCP server and gateway over its indexed knowledge and tools. For governed, live query access to operational databases and warehouses, a connectivity layer like Connect AI complements it.
Connect AI: the governed data layer for your agents
If your goal is to give AI agents trustworthy, governed access to enterprise data, not just search your knowledge base, CData Connect AI provides live, permissioned connectivity to hundreds of sources through a single MCP endpoint. Learn more about CData Connect AI.
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