Atlan Lakehouse vs Dawiso

Atlan Lakehouse is a knowledge architecture for storing, managing, and serving context to enterprise AI agents. Its design combines a knowledge graph, Iceberg-native file storage, vector-native search, and time travel. Context is exposed through MCP, A2A, SQL, and APIs. Atlan says its agents can use the Enterprise Data Graph to create asset descriptions, connect business terms, and surface business questions. Native connectors cover data platforms, databases, BI tools, ETL pipelines, orchestrators, and data quality tools, with Snowflake, BigQuery, Tableau, dbt, and Airflow listed as examples. Connectors read metadata such as schemas, structures, lineage, ownership, and timestamps while source data remains in source systems. The App Framework lets developers, partners, and customers create custom connectors and apps with APIs, SDKs, CLI tools, and UI extension points. Atlan recommends single-tenant SaaS and lists AWS, Microsoft Azure, and Google Cloud Platform. A self-deployed runtime runs in the customer environment and requires additional enablement and licensing. Pricing is on request, and no free trial is offered.

Dawiso is an enterprise data governance platform that organizes metadata into governed data products for people and AI agents. Its catalog discovers data sources and uses AI to add business context to metadata. Search includes intelligent tools and dynamic filters, while knowledge graphs and column-level lineage help users explore relationships. Teams can connect technical metadata with business definitions, ownership, usage details and sensitivity classifications. Dawiso advertises 40+ native connectors, including Snowflake, Databricks, BigQuery, SQL Server, PostgreSQL, Oracle, Power BI and Tableau; some integrations are marked as on the roadmap. Deployment options include SaaS on Azure, private cloud and on-premises. For hybrid setups, Dawiso says only metadata is transferred, using TLS-secured transmission. The Corporate plan includes an MCP Server, and the company says AI agents access context through MCP and APIs with the same permissions as people. Standard starts at €445 a month, with five user seats, five contributor licenses, 20 viewer licenses, unlimited connectors and Slack forum support. A 14-day trial is listed; there is no free plan.