
The AI workspace where teams and agents get work done together
#1Glean records 3,301,875 monthly visits with +0.1% month-over-month growth and Contact for Pricing pricing. HydraDB OSS records 29,635 monthly visits with +5.8% growth and Freemium, Contact for Pricing pricing.

Graph database built on object storage for agent memory and context
| Dimension / Metric | ![]() | ![]() |
|---|---|---|
| Official Domain | glean.com | hydradb.com |
| Pricing Model | Contact for Pricing | Freemium, Contact for Pricing |
| Monthly Visits | 3.3M (3,301,875) | 29.64K (29,635) |
| MoM Traffic Delta |
| +4.86K (+0.1%) |
| +1.61K (+5.8%) |
| Primary Market & Share | 🇺🇸 United States (56.6%) | 🇮🇳 India (65%) |
|---|
| Direct Visits / mo | 2.63M | 17.15K |
|---|
| User Rating | 4.6 | 4.4 |
|---|
| Supported Platforms | Website | Website |
|---|

Enterprise AI grounded in your company's own knowledge
Ask a question in plain language and get a cited answer assembled from documents, tickets, wikis, and messages across every connected system, with permissions respected.
Reusable agents handle multi-step workflows such as onboarding, account research, or incident follow-up by orchestrating actions across business apps.
Glean automatically picks and routes requests to the right model and reasoning level, giving teams access to 40+ LLMs through a single governed gateway.
Draft on-brand documents, summarise meetings, analyse data, and create content grounded in company context rather than generic model knowledge.

Graph database built on object storage for agent memory and context
Graph, WAL, value, and index data all live in S3-compatible storage with a hot/warm/cold tiering strategy, cutting infrastructure cost dramatically versus memory-resident graph databases.
One query can traverse graph relationships and run vector, BM25, and reranked search together, so agents do not have to orchestrate four separate systems.
Every change is tracked, letting agents recall what happened, when, and in what sequence, which supports auditability and long-running agent workflows.
OpenCypher over Bolt plus an HTTP API and SDKs make it approachable for teams already familiar with property graphs.

The AI workspace where teams and agents get work done together
#1
Builds collaborative enterprise AI agents connected to company knowledge, but offers less robust out-of-the-box universal search.
SpecialistBuild, share, and control AI agents that actually do the work
The managed vector database and knowledge engine for production AI

SpecialistAutomates employee IT and HR support requests exceptionally well, but focuses less on general universal document search.

A memory and continual-learning engine that gives any AI agent persistent context

SpecialistDeploys enterprise conversational assistants and automated workflows, but lacks Glean's unified organization-wide knowledge graph search.
Free / Open-sourceOpen-source AI memory that reasons, not just stores
Creates permission-aware context graphs and routes tasks across enterprise tools, but has a smaller connector library than Glean.

Combines enterprise search, AI agents, and corporate learning, but is less specialized for pure universal workplace search than Glean.

Fully managed Vector Lakebase and vector database for enterprise AI, built by the creators of Milvus
Free / Open-sourceOpen-source, high-performance vector search at any scale
Builds collaborative enterprise AI agents connected to company knowledge, but offers less robust out-of-the-box universal search.
SpecialistBuild, share, and control AI agents that actually do the work
SpecialistAutomates employee IT and HR support requests exceptionally well, but focuses less on general universal document search.
A memory and continual-learning engine that gives any AI agent persistent context
Creates permission-aware context graphs and routes tasks across enterprise tools, but has a smaller connector library than Glean.
Fully managed Vector Lakebase and vector database for enterprise AI, built by the creators of Milvus