--- title: "Dawiso vs DataHub | Modern Data Catalog Alternative" description: "Dawiso vs DataHub: DataHub OSS Core is a self-hosted Kafka and Elasticsearch stack your own team runs. Dawiso is managed in every deployment option." url: "https://www.dawiso.com/competitors/datahub" language: "en" --- Dawiso vs DataHub # Why teams choose Dawiso over DataHub DataHub OSS Core is open and capable, but production self-hosting is a real platform-engineering project: Kafka, Elasticsearch, a metadata store, the GMS backend and a separate frontend, all stood up, tuned and maintained by your team. Dawiso is managed in every deployment option - SaaS, your Azure, or on-prem - with the full catalog on every plan and no self-hosted infrastructure to operate. TL;DR No DevOps team required. The full catalog on every plan, no Cloud-gated lifecycle. Managed agents on day one, MCP from Corporate. [Take the product tour](https://demo.dawiso.com/dashboard/demo_welcome?dw_src=competitor-datahub&dw_cta=tour-hero) Self-guided, in the real product. No sales call; a work email unlocks the full tour. Moved from DataHub to Dawiso > The close dialogue with the Dawiso team is what made the pilot work: when our model didn't fit the tool, they adapted the tool to us. **Daniel Fallenius** Information Architect, Bertel O. Steen **~60 days** from kick-off to a fully operational solution, DataHub content migrated at Bertel O. Steen [Read the Bertel O. Steen story](https://www.dawiso.com/case-study/bertel-o-steen) 01At a glance ## Dawiso vs DataHub, side by side Built on customer feedback and publicly available sources. | Features | Dawiso | DataHub | | --- | --- | --- | | Deployment and operations | Managed in every option (SaaS, your Azure, or on-prem) with 100% feature parity across deployment options - no self-hosted infrastructure to run | OSS Core is a self-hosted multi-service stack (Kafka, Elasticsearch, metadata store, GMS, frontend) needing a dedicated platform team; SLA-backed 99.5% availability and a dedicated customer success team are positioned as DataHub 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 | | Open-source story | One product, one feature set, no upgrade tax | OSS Core is genuinely open; certification workflows, governance automations, shift-left governance positioned as DataHub Cloud | | Governance workflows | Approval flows, lifecycle states, Excel import/export included | Governance-lifecycle tooling (certification workflows, no-code automations) is positioned as DataHub Cloud | | 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 | DataHub's MCP server (acryldata/mcp-server-datahub) is self-hosted - you run and maintain it against your own instance; Cloud adds managed MCP and advanced agentic features | | Total cost trajectory | Predictable per-seat, the full catalog in every plan | OSS free but engineering-heavy; Cloud pricing is opaque (Enterprise on request) | 02Customer proof ## From open-source DataHub to a production-ready catalog in about 60 days Bertel O. Steen ran its catalog on open-source DataHub. Dawiso migrated the business glossary and data product documentation and had a customized, production-ready environment in place in roughly two months. - **~60 days** from kick-off to a fully operational solution, DataHub content migrated [Bertel O. Steen](https://www.dawiso.com/case-study/bertel-o-steen) - **100,000+** scanned objects in Databricks [Bertel O. Steen](https://www.dawiso.com/case-study/bertel-o-steen) - **50+** data products documented [Bertel O. Steen](https://www.dawiso.com/case-study/bertel-o-steen) 03Feature by feature ## Five capabilities buyers ask about, one verdict each Open a row for what you get in each product. **GLOSSARY Governance ships with the product, not behind a paywall** GLOSSARY ### Business glossary Governance ships with the product, not behind a paywall dawiso Winner Wiki-style, AI-assisted, Excel-ready - Long structured definitions, formal approval flows - Excel import/export for bulk term migration - Role-based editing per term and per domain DataHub Limited OSS glossary without bulk workflows - OSS version missing Excel import/export for term curation - Approval workflows and lifecycle states sit in DataHub Cloud - Cross-domain term modelling requires custom YAML and ingestion code **AI Production agents on day one, MCP from the Corporate plan** AI ### AI Context Layer Production 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 separate vector store, no Cloud upgrade required DataHub Limited OSS MCP shipping; managed agentic features Cloud-gated - DataHub OSS ships acryldata/mcp-server-datahub on GitHub (self-hosted, fully featured) - DataHub Cloud adds managed MCP and advanced agentic features - No pre-built Technical Writer Agent or Agentic Data Governance Steward in OSS or Cloud **LINEAGE Live and editable, not batch-ingested** LINEAGE ### Live data lineage, editable in-product Live and editable, not batch-ingested dawiso Winner Auto + manual edits, column-level, real-time - Live lineage from warehouse and transformation tools - Edit edges in-product where the parser misses - Impact analysis on every schema change DataHub Limited Ingestion-driven lineage with manual gaps - Lineage depends on recipe ingestion runs, not real-time observation - Manual lineage edits require custom emitter code, not in-product fixes - Column-level coverage uneven across BI and transformation tools **DEPLOYMENT Managed and complete, not a stack you operate** DEPLOYMENT ### Managed catalog vs a self-hosted platform you run Managed and complete, not a stack you operate dawiso Winner Delivered managed in every deployment option - Managed in every option: SaaS, your own Azure, or on-prem - no self-hosted infra to operate - One product, one data model: business and technical metadata linked by design, with the same features on SaaS, Azure and on-prem - Account manager from the Corporate plan - customer success isn't paywalled to an enterprise tier - In-product customization of schemas, workflows and roles - no services engagement, and fast time-to-value with 40+ connectors (2-4 weeks) DataHub Limited OSS Core is open, but production self-hosting is a platform-engineering commitment - Production self-hosting stands up Kafka, Elasticsearch, a metadata store, the GMS backend and a separate frontend - reviewers note it needs significant engineering investment for setup, tuning and maintenance - Realistically viable with a dedicated platform team running Kafka/Elasticsearch/Kubernetes (production guidance: 16GB+ RAM, 4+ cores on dedicated infra) - Governance-lifecycle tooling - certification workflows, governance automations, shift-left governance, no-code automations - is positioned under DataHub Cloud - SLA-backed 99.5% availability and a dedicated customer success team are positioned as DataHub Cloud; OSS Core users rely on community support and carry their own uptime **PACKAGING Open about packaging, not open-source theatre** PACKAGING ### Procurement model Open about packaging, not open-source theatre dawiso Winner One product, the full catalog in every plan - No OSS-to-Cloud upgrade tax for governance features - AI and MCP included, not a Cloud-only add-on - Predictable per-seat, no per-table metering DataHub Limited OSS framed as open, Cloud holds the governance - OSS version missing Excel import/export, lifecycle, approval workflows - Self-hosting OSS is engineering-heavy (Kafka, Elasticsearch, GMS, frontend) - DataHub Cloud bills per-table at scale, with advanced AI behind the same gate **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-datahub&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 Lineage 9.3 8.7 05FAQ ## Frequently asked questions Still deciding? [Contact us](https://www.dawiso.com/contact-us) and we will answer in a short time. **Is DataHub OSS Core free, and does that make it cheaper than Dawiso?** DataHub OSS Core is open source, but "free" shifts cost rather than removing it. Production self-hosting means a dedicated team standing up and maintaining Kafka, Elasticsearch, a metadata store, the GMS backend and a frontend, so the real total cost includes that infrastructure and operations work. DataHub Cloud pricing is opaque - the Enterprise tier is available on request with no published dollar amounts - so buyers can't budget either path upfront easily. Dawiso is managed in every deployment option with the full catalog on every plan, so there's no self-hosted ops burden and no "the operational features live in the paid tier" split. **How long does migration from DataHub take?** Dawiso reaches first use cases in 2-4 weeks, with a full named rollout (P3 Parks) in ~11 weeks. Migration from DataHub adds a metadata export through the OSS APIs and a mapping pass into Dawiso, which most teams complete inside one additional sprint. Dawiso open APIs make the export and re-ingest path straightforward. **Can we run DataHub and Dawiso in parallel during evaluation?** Yes. Point both at the same warehouse, give a small business team a 30-day shadow trial on Dawiso, and compare governance adoption side by side. Most teams notice the operations gap (managed catalog vs. self-hosted Kafka/Elasticsearch/GMS) within the first sprint. **When does DataHub still make sense?** If you have a platform team that wants to own and operate the stack, accepts the Cloud-positioned governance-lifecycle and SLA tooling, and has dedicated engineers to run Kafka, Elasticsearch, and GMS long-term, DataHub OSS Core can fit. If you want the catalog managed for you - one product, with the full catalog on every plan - that is the Dawiso case. ## See why teams pick Dawiso over DataHub 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-datahub&dw_cta=tour-final)