# Glean vs Database Sample

Glean records 3,301,875 monthly visits with +0.1% month-over-month growth and Contact for Pricing pricing. Database Sample records 35,340 monthly visits with +69.1% growth and Freemium pricing.

| Metric | [Glean](https://openaitools.app/tool/glean) | [Database Sample](https://openaitools.app/tool/open-source-database-designs) |
| :--- | :--- | :--- |
| Website URL | https://www.glean.com | https://databasesample.com |
| Categories | AI Productivity Tools, AI Agent, AI Assistant, AI Search Engine | AI Design Generator, AI Developer Tools, AI Code Generator, AI Diagram Generator |
| Pricing Model | Contact for Pricing | Freemium |
| Monthly Visits | 3,301,875 | 35,340 |
| MoM Growth Rate | +0.1% | +69.1% |
| Primary Market | United States | India |
| Direct Visits | 2,628,666 | 12,812 |
| Review Score | 4.6 | 4.3 |
| Saved Count | 7 | 0 |
| Supported Platforms | Website | Website |

## Glean

Glean addresses a problem most enterprises hit after their first wave of AI adoption: models are powerful but isolated from the context of the business. The platform builds an enterprise context layer by indexing and understanding content across the tools a company already runs on, then uses that grounding to improve both answer quality and efficiency. Because fewer irrelevant tokens need to be sent to a model, the same question costs less to serve.

The product surface spans four areas: enterprise search, an AI assistant for everyday work, an agent platform for automating long-running processes, and Glean Protect for security and governance. Administrators also get model routing and an AI gateway, letting them decide which models handle which requests without rebuilding integrations. Everything inherits the access permissions of the source systems, so answers stay within each employee's existing rights.

Glean serves large organisations across finance, healthcare, retail, technology, and government, with published customers including Booking.com, Zillow, and Ericsson. It holds SOC 2 Type II, ISO 27001, ISO 42001, HIPAA, GDPR, and TX-RAMP Level 2 attestations, and reports 275+ connectors, 40+ supported language models, and 99.9%+ uptime on core services.

**Pricing & Plans:** Contact for pricing. Glean is licensed to organisations based on seats, connectors, and deployment scope, and is evaluated through a demo rather than self-serve purchase.

- **Permission-aware enterprise search:** 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.
- **Agent builder and orchestration:** Reusable agents handle multi-step workflows such as onboarding, account research, or incident follow-up by orchestrating actions across business apps.
- **Model routing and AI gateway:** Glean automatically picks and routes requests to the right model and reasoning level, giving teams access to 40+ LLMs through a single governed gateway.
- **Grounded content and analysis:** Draft on-brand documents, summarise meetings, analyse data, and create content grounded in company context rather than generic model knowledge.
- **Governance and observability:** Administrators get usage controls, spend visibility, audit logging, and compliance-ready governance for every AI interaction.

**Strengths:** Answers cite source systems and inherit their permissions, which removes the main blocker to enterprise-wide rollout; One platform covers search, assistant, and agents instead of three separate vendors; Model routing and token efficiency directly reduce the cost per AI query at scale; 275+ pre-built connectors shorten integration work considerably

**Limitations:** Enterprise pricing is quote-based, so budget planning requires a sales conversation; Full value depends on connecting many internal data sources, which takes IT effort; Smallest teams may find the platform more than they need

[Profile (Markdown)](https://openaitools.app/tool/glean.md)

## Database Sample

DatabaseSample tackles the blank-page problem in data modelling. Instead of opening an empty designer, you search a catalogue of 1,847 published database designs — each with an ER diagram, table and column details, and an automated review that flags missing keys, absent indexes and other structural problems. Nearly a thousand multi-table sample datasets are also available with intact foreign keys, shipping as CSV, JSON, SQL for four dialects, a Prisma seed or a Django fixture, all released under CC0 with no account required.

Around that library sits a working toolkit. The DBML text editor renders a diagram as you type, the SQL playground runs queries in PostgreSQL or SQLite directly in the browser and shows the query plan, and share links bundle the schema, query and result into one reproducible URL. Field generators produce valid UUIDs, localised names, non-uniform numbers and test card data, while SQL dialect converters translate DDL between MySQL, PostgreSQL and SQL Server and spell out the semantic differences.

The AI side is the AI Generator and Dataset Studio. Describe the dataset you need and the model proposes a schema; the Free plan lets you run three designs a day and download a 50-row sample of every table, while Pro and Team plans raise limits, unlock complete datasets and private downloads, and add a stronger model inside the editor. Team workspaces add roles, comments and review requests, and a GitHub Action can review pull requests that change a shared schema.

**Pricing & Plans:** Freemium. All published database designs and datasets are free to download with no account. Dataset Studio generation starts free (50-row samples, 3 designs/day); Pro is $19/month for complete datasets and 25 designs/day; Team is $15 per user per month ($45/month for 3 seats) with shared workspaces; Education is free for verified school email addresses. Yearly billing costs ten months' price; Team is 50% off for verified educators.

- **1,847 database design catalogue:** Browse ready-made schemas by subject, each with an ER diagram, full column details and an automated design review that calls out missing keys and indexes.
- **AI schema generator and Dataset Studio:** Describe the data you need in plain English, compare generated designs, and download generated rows with working foreign keys in CSV, JSON, SQL, Prisma or Django formats.
- **In-browser DBML editor and SQL playground:** Write schema as DBML text and watch the diagram update live, then query generated rows in PostgreSQL or SQLite, inspect the query plan and share the whole thing as one reproducible link.
- **997 multi-table sample datasets under CC0:** Deterministically generated datasets with valid foreign keys, available in eight download formats with no account, no attribution and no restrictions.
- **SQL dialect converters and field generators:** Translate DDL between MySQL, PostgreSQL and SQL Server with differences called out, and generate UUIDs, localised names, skewed numeric distributions and standard test card numbers column by column.

**Strengths:** The design catalogue, sample datasets and download formats are free with no account, making it easy to evaluate before paying anything; Sample data is genuinely relational — foreign keys stay intact across tables, so it loads and queries like real data; Tooling is unusually complete for one site: catalogue, editor, diagram, SQL playground, converters, generators and AI design in one place; Transparent, published pricing with a free education tier and yearly billing equal to ten months

**Limitations:** Generated Studio results expire after 30 days on every plan, including paid ones, so output must be downloaded to be kept; The free tier is deliberately narrow — 50-row samples, three AI designs a day and 20 editor AI requests per month; Credit-style daily limits mean large modelling sessions on the Free plan require waiting for the next day

[Profile (Markdown)](https://openaitools.app/tool/open-source-database-designs.md)

## Frequently Asked Questions

### How do Glean and Database Sample compare in monthly traffic?

Glean has 3,301,875 monthly visits, while Database Sample has 35,340. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Glean has a month-over-month growth rate of +0.1%; Database Sample has +69.1%.

### How does pricing compare?

Glean: Contact for Pricing. Contact for pricing. Glean is licensed to organisations based on seats, connectors, and deployment scope, and is evaluated through a demo rather than self-serve purchase. Database Sample: Freemium. Freemium. All published database designs and datasets are free to download with no account. Dataset Studio generation starts free (50-row samples, 3 designs/day); Pro is $19/month for complete datasets and 25 designs/day; Team is $15 per user per month ($45/month for 3 seats) with shared workspaces; Education is free for verified school email addresses. Yearly billing costs ten months' price; Team is 50% off for verified educators.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Notion](https://openaitools.app/tool/t) | 173,441,670 | +0.1% | Freemium | The AI workspace where teams and agents get work done together | [.md](https://openaitools.app/tool/t.md) |
| 2 | [Dust](https://openaitools.app/tool/dust) | 547,217 | +1.8% | Contact for Pricing | Builds collaborative enterprise AI agents connected to company knowledge, but offers less robust out-of-the-box universal search. | [.md](https://openaitools.app/tool/dust.md) |
| 3 | [Eraser](https://openaitools.app/tool/eraser) | 534,396 | -23.6% | Freemium, Paid, Contact for Pricing | AI diagrams and technical design docs built from your code and systems | [.md](https://openaitools.app/tool/eraser.md) |
| 4 | [Convex](https://openaitools.app/tool/convex) | 390,417 | -18.7% | Freemium, Paid | Reactive TypeScript backend with database, functions and AI gateway | [.md](https://openaitools.app/tool/convex.md) |
| 5 | [Gumloop](https://openaitools.app/tool/gumloop) | 379,557 | -21.1% | Freemium, Paid, Contact for Pricing | Build, share, and control AI agents that actually do the work | [.md](https://openaitools.app/tool/gumloop.md) |
| 6 | [MockFlow](https://openaitools.app/tool/mockflow) | 177,254 | -7.9% | Freemium, Paid | An online whiteboard that mixes wireframing, diagramming, and AI agents | [.md](https://openaitools.app/tool/mockflow.md) |
| 7 | [Moveworks](https://openaitools.app/tool/moveworks) | 168,527 | -4.3% | Contact for Pricing | Automates employee IT and HR support requests exceptionally well, but focuses less on general universal document search. | [.md](https://openaitools.app/tool/moveworks.md) |
| 8 | [Kore.ai](https://openaitools.app/tool/kore-ai) | 143,328 | -18.2% | Contact for Pricing | Deploys enterprise conversational assistants and automated workflows, but lacks Glean's unified organization-wide knowledge graph search. | [.md](https://openaitools.app/tool/kore-ai.md) |
| 9 | [Coworker AI](https://openaitools.app/tool/coworker-ai) | 129,346 | -1.8% | Free Trial, Paid, Contact for Pricing | Creates permission-aware context graphs and routes tasks across enterprise tools, but has a smaller connector library than Glean. | [.md](https://openaitools.app/tool/coworker-ai.md) |
| 10 | [Sana](https://openaitools.app/tool/sana-labs) | 109,714 | -25.5% | Paid, Contact for Pricing | Combines enterprise search, AI agents, and corporate learning, but is less specialized for pure universal workplace search than Glean. | [.md](https://openaitools.app/tool/sana-labs.md) |

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Source: https://openaitools.app/compare/glean-vs-open-source-database-designs

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