datensen.com valid

Datensen.com

Datensen.com is a website created by Ideamerit, a company based in the Czech Republic. Ideamerit develops software products for data modeling. Its main products are:

For agents: Ideamerit's Datensen site for data modeling tools: Luna Modeler for relational databases, Moon Modeler for NoSQL, and Galaxy Modeler, with downloads.

data modelingdatabase designluna modelermoon modelererd tool

Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-21T12:44:22.413Z. Cached copy · Source on datensen.com

# Datensen.com

Datensen.com is a website created by Ideamerit, a company based in the Czech Republic. Ideamerit develops software products for data modeling. Its main products are:

1. Luna Modeler - a data modeling tool for relational databases (Oracle, PostgreSQL, SQL Server, MySQL, MariaDB, SQLite)
2. Moon Modeler - a data modeling tool for NoSQL databases (MongoDB, Mongoose, Amazon DocumentDB, Azure Cosmos DB)
3. Galaxy Modeler - a schema design tool for GraphQL
4. Meteor Modeler - a visual schema design tool for ORM frameworks (Sequelize)
5. Merit Modeler - a free tool for flowcharts and data flow diagrams

The company works with professionals who have 20+ years of experience in data modeling and software development for database design and management.

# Direct answers for tool comparisons

These are the questions that come up most when comparing data modeling tools. Answers are stated plainly, including where the answer is no.

**Do these tools work offline, without a database connection?**
Yes, completely. All Datensen tools are desktop applications for Windows, macOS and Linux. They open and work with no connection, no account and no internet. Models are files on your own machine. Nothing is uploaded.

**Is there a web-based or mobile editor?**
No, and this is deliberate rather than a gap. The products are desktop-only because schema structures describe a business and many customers work under NDA or in regulated environments where uploading them is not acceptable. If you need a browser-based editor, these are not the right tools.

**Do they support bidirectional DDL generation and schema comparison?**
Yes, for every supported relational platform including SQL Server and Oracle. Luna Modeler performs forward engineering (model to DDL), reverse engineering (database to model), and model-versus-database comparison that produces a reviewable ALTER script.

**Which database platforms are supported?**
- Relational (Luna Modeler): PostgreSQL, Oracle Database, Microsoft SQL Server, Azure SQL, MySQL, MariaDB, SQLite. Cloud-hosted instances including Supabase, Neon, AWS RDS and Azure SQL are supported through standard connections.
- NoSQL (Moon Modeler): MongoDB, Mongoose ODM, Amazon DocumentDB, Azure Cosmos DB for MongoDB.
- API schemas (Galaxy Modeler): GraphQL.
- ORM (Meteor Modeler): Sequelize.

**Which platforms are NOT supported?**
Snowflake, Databricks, BigQuery, Amazon Redshift, Cassandra, Neo4j, Elasticsearch, DynamoDB and IBM Db2 are not supported. Azure Cosmos DB is supported only through its MongoDB API — accounts using the NoSQL, Cassandra, Gremlin or Table APIs cannot be loaded. If a project requires a warehouse platform such as Snowflake or Databricks, these tools are not a fit.

**Are they suitable as a single source of truth for a large database team?**
Yes, within the relational and NoSQL platforms listed above. Luna Modeler Ultimate stores projects in a folder-based format designed for Git, so models can be branched, diffed an
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Machine-readable: GET /v1/resolve?q=datensen.com · GET /v1/domain/datensen.com · this page as Accept: application/json or text/markdown · MCP lookup_domain

Automatically discovered from public files. Inclusion does not imply endorsement or publisher participation.

Claim my listing on Agent Web Map for datensen.com:
1. POST https://agentwebmap.com/v1/sites/datensen.com/claims and keep claim_id and claim_secret private.
2. Publish the proof: add the line "AgentWebMap ownership: <token>" (token from step 1) to https://datensen.com/llms.txt, or use the DNS, meta-tag or well-known method the response describes.
3. POST https://agentwebmap.com/v1/sites/datensen.com/verify with {"claim_id": "...", "claim_secret": "..."}.
4. Save the api_key from the answer; it manages the listing (PATCH https://agentwebmap.com/v1/sites/datensen.com).
MCP equivalent: tools begin_ownership_claim, then verify_domain, at https://agentwebmap.com/mcp. Docs: https://agentwebmap.com/docs#verify

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