--- title: "Dawiso vs OpenMetadata | Modern Data Catalog Alternative" description: "Dawiso vs OpenMetadata: fully managed in every deployment option, agents on every plan and MCP from Corporate, instead of a DevOps project to run." url: "https://www.dawiso.com/competitors/openmetadata" language: "en" --- Dawiso vs OpenMetadata # Why teams choose Dawiso over OpenMetadata OpenMetadata is powerful if your team wants to operate the stack. Dawiso gives you the same enterprise metadata outcomes as a managed platform, with business adoption and agents from day one, and MCP from the Corporate plan. TL;DR Managed in every deployment, not a self-hosting program. AI in every plan, not gated to Collate Cloud. Public pricing, the full catalog in every plan. [Take the product tour](https://demo.dawiso.com/dashboard/demo_welcome?dw_src=competitor-openmetadata&dw_cta=tour-hero) Self-guided, in the real product. No sales call; a work email unlocks the full tour. Piloted OpenMetadata first > We had tried to build that on OpenMetadata, but that path proved endless. The Dawiso pilot showed real value within a few weeks - its ready-made connectors let us scan Keboola, Snowflake and Tableau almost immediately. **Jakub Trefilík** Senior Product Manager, Seznam.cz **681,000** governed objects, priced per user rather than per object at Seznam.cz [Read the Seznam.cz story](https://www.dawiso.com/case-study/seznam) 01At a glance ## Dawiso vs OpenMetadata, side by side Built on customer feedback and publicly available sources. | Features | Dawiso | OpenMetadata | | --- | --- | --- | | Operating model | Fully managed in every deployment option (SaaS / your Azure / on-prem), 100% feature parity, vendor-handled upgrades | Self-hosted OSS edition runs a multi-service stack (MySQL/PostgreSQL + Elasticsearch/OpenSearch + OM server + Airflow ingestion) started in dependency order; in-place DB upgrade migrations are owned by your team, with docs recommending a metadata backup first | | Open source story | Closed source, public pricing, the full catalog included | OSS is genuine Apache 2.0; AI Studio, Reverse Metadata, Service Insights, governance leadership dashboards positioned as paid Collate Cloud | | Governance workflows | Lifecycle, approvals, ownership in every plan | Custom Auto-Classification and governance leadership dashboards are Collate Cloud features | | AI agents and MCP | Managed production MCP read+write (Databricks MCP Marketplace) from the Corporate plan, Technical Writer Agent and Agentic Data Governance Steward in every plan | OpenMetadata OSS exposes a read+write MCP server at /mcp; AskCollate, AI Agents/AutoPilot, AI Studio gated to Collate Cloud | | Time to value | Fully managed; first use cases in 2-4 weeks; full named rollout ~11 weeks (P3 Parks, 78 days) | 4-12 weeks with a strong engineering team; longer as adoption and governance are on you | | Pricing transparency | Public list price, one product, every plan | OSS free / Collate Cloud sales-gated, no public list price | 02Customer proof ## After an OpenMetadata pilot, real value within a few weeks Seznam.cz piloted OpenMetadata in-house and found it costly and slow to run, with weak support for lineage and data products. It still keeps OpenMetadata for technical work; Dawiso adds the business layer on top. - **681,000** governed objects, priced per user rather than per object [Seznam.cz](https://www.dawiso.com/case-study/seznam) - **596,947** relationships between objects (lineage and dependencies) [Seznam.cz](https://www.dawiso.com/case-study/seznam) - **88** data products [Seznam.cz](https://www.dawiso.com/case-study/seznam) 03Feature by feature ## Five capabilities buyers ask about, one verdict each Open a row for what you get in each product. **GLOSSARY Governed curation at business-team scale** GLOSSARY ### Business glossary Governed curation at business-team scale dawiso Winner Wiki-style, AI-assisted, governed - Long structured definitions, formal approval flows - Role-based editing rights per term and per domain - Excel bulk import and export for mass curation OpenMetadata Limited Engineer-shaped, light governance in OSS - Glossary modelling exists, but UX is engineer-first - Lifecycle and approval workflows live in Collate Cloud, not OSS - Bulk import / export is CSV-based in OSS; Dawiso ships native Excel I/O for stewardship at scale **AI Production-ready agents on day one, MCP from the Corporate plan** AI ### AI Context Layer Production-ready agents on day one, MCP from the Corporate plan dawiso Winner Native MCP + agentic stewards - REST API in every plan, MCP server from the Corporate plan - Agentic data steward + technical writer included - No extra SKU, no separate vector store OpenMetadata Limited OSS MCP shipping; agentic AI Cloud-gated - OpenMetadata OSS MCP server is at /mcp (open-metadata.org) - Collate Cloud adds AI Studio and Dynamic Agents on top of OSS - No pre-built Technical Writer Agent or Agentic Data Governance Steward in OSS or Cloud **LINEAGE Editable inside the UI, not via config files** LINEAGE ### Data lineage Editable inside the UI, not via config files dawiso Winner Auto + manual edits, column-level - Live lineage from warehouse and transformations - Edit edges in-product where the parser misses - Impact analysis on every schema change OpenMetadata Limited Strong technical lineage, engineer-managed - Column-level lineage works across common SQL warehouses - Edits and corrections typically run through ingestion config, not UI - Business-context lineage is thinner than the technical view **DEPLOYMENT Managed and complete, not a stack you operate** DEPLOYMENT ### Operating model and packaging Managed and complete, not a stack you operate dawiso Winner Fully managed, the full catalog in every plan - Managed in every deployment option - SaaS, your Azure tenant, or on-prem - with 100% feature parity - No multi-service stack to run, patch, or scale; upgrades handled by the vendor - Technical Writer Agent in every plan; read+write MCP Server and BYO-LLM (Azure OpenAI, Mistral, Llama, Granite) from the Corporate plan - In-product customization of schemas, workflows, and roles - no services engagement OpenMetadata Limited Self-host the stack; advanced AI gated to Collate Cloud - OSS edition is a multi-service stack (database + search + server + Airflow ingestion) you start in order, patch, and scale yourself - In-place DB upgrade migrations are a recurring community pain point (e.g. GitHub issues #22914, #15576, #24949); the OpenMetadata docs themselves recommend backing up metadata before upgrading - AskCollate, AI Agents/AutoPilot, AI Studio, Custom Auto-Classification, Reverse Metadata, Service Insights, and leadership dashboards are gated to paid Collate Cloud, not in the Apache-2.0 edition - Guaranteed/priority support and a 99.9% uptime SLA come only with Collate Cloud; the OSS tier relies on a community Slack with no SLA **PACKAGING Ship-ready out of the box, not out of an SOW** PACKAGING ### Procurement model Ship-ready out of the box, not out of an SOW dawiso Winner One product, the full catalog in every plan - No SKU shopping: one product in three plans - AI features included, not a premium add-on - No services SOW required to deploy OpenMetadata Limited OSS free / cloud sales-gated - Marketed as open source - the practical version is paid Collate Cloud - Self-hosting OSS means operating the stack and forfeiting governance and AI features - Collate Cloud pricing is sales-gated, no public list **See the difference yourself.** Click through the real product, at your own pace. [Take the product tour](https://demo.dawiso.com/dashboard/demo_welcome?dw_src=competitor-openmetadata&dw_cta=tour-mid) 04Price and ratings ## What it costs, and what users say A 0-10 total-cost score from public AWS Marketplace starting prices, next to verified G2 ratings. Total cost of ownership score, 0-10. **Lower is better.** Dawiso 2.1/10 Collibra 9.8/10 Ab Initio 6.8/10 Atlan 5.6/10 Select Star 5.0/10 DataHub 4.1/10 OpenMetadata 4.1/10 Alation 3.2/10 DataGalaxy 2.7/10 Secoda 2.6/10 TCO scores anchor on public AWS Marketplace starting subscription pricing, normalized 0-10 where lower is better. Full 3-year program cost varies by services SOWs, paid modules (DQ, lineage, AI agents), and steward FTE. Methodology updated 2026-05. CRITERIA Ease of Use 9.7 8.6 Ease of Setup 9.4 7.8 Quality of Support 9.4 8.4 Data Governance 8.9 8.0 05FAQ ## Frequently asked questions Still deciding? [Contact us](https://www.dawiso.com/contact-us) and we will answer in a short time. [Calculate your TCO](https://www.dawiso.com/dawiso-total-operational-cost-calculator) **Is OpenMetadata free, and how does that compare to Dawiso?** The Apache-2.0 OpenMetadata edition is free to license, but self-hosting it is a multi-service stack - database, search, server, and an Airflow ingestion workflow - that your team starts in dependency order, patches, scales, and migrates on every upgrade, where the docs recommend backing up metadata first. In practice that means a meaningful time-to-production and an ongoing maintenance commitment - the real comparison is total cost of ownership, not the license. You can model your own numbers with our [TCO calculator](https://www.dawiso.com/dawiso-total-operational-cost-calculator). Dawiso is fully managed in every deployment option - SaaS, your Azure tenant, or on-prem - so there is no infra to run and time-to-value is 2-4 weeks. The AI and automation features many teams want from OpenMetadata - AskCollate, AI Agents, Reverse Metadata, Service Insights - are gated to the paid Collate Cloud, whereas Dawiso ships its Technical Writer Agent in every plan and a read+write MCP Server from the Corporate plan. **How long does migration from OpenMetadata take?** Dawiso reaches first use cases in 2-4 weeks, with a full named rollout (P3 Parks) in ~11 weeks. Migration from a self-hosted OpenMetadata adds a metadata export and a mapping pass, which most teams complete inside one additional sprint. Teams already on Collate Cloud usually move faster because the metadata model is closer. **Can we run OpenMetadata and Dawiso in parallel during evaluation?** Yes. Point both at the same warehouse, run a 30-day shadow trial with a small business team on Dawiso, and compare adoption side by side. We support this evaluation pattern explicitly. **When does OpenMetadata still make sense?** If your team is engineering-heavy, comfortable running the multi-service OpenMetadata stack on Kubernetes, owning in-place upgrade migrations, and contributing to open-source code over filing tickets, OpenMetadata fits. If you also want a managed catalog, the AI features in every plan, and public pricing in one product, that is the Dawiso case. ## See why teams pick Dawiso over OpenMetadata Explore Dawiso in the real product, at your own pace. No sales call; a work email unlocks the full tour. [Take the product tour](https://demo.dawiso.com/dashboard/demo_welcome?dw_src=competitor-openmetadata&dw_cta=tour-final)