How to choose an open data platform

"Open data platforms" actually contains two different audiences. One group is governments and organizations that need software to publish an open-data portal. The other is researchers, analysts and journalists who need somewhere to find and pull free, already-published data. Some entries in this category are software you'd install or subscribe to; others are the data itself, published by a specific institution. Confusing the two wastes time — you don't "subscribe" to Eurostat's statistics the way you'd subscribe to Socrata's portal software, and you don't expect Data.gov to give you EU-harmonized figures it was never built to publish.

Are you publishing or consuming

If your job is standing up a public-facing portal for your own organization's or government's datasets, you're choosing publishing software: CKAN, Tyler Data & Insights (formerly Socrata), Opendatasoft and Junar all fall here. If your job is finding existing data to analyze — economic indicators, demographic figures, development statistics — you want a data source, not portal software: Data.gov, Eurostat, World Bank Open Data and Our World in Data are pre-published sources you query or download from directly. Interestingly, Data.gov itself is built on CKAN — so CKAN can be both the software you'd choose to build a portal and the technology underneath a source you'd consume from.

Self-hosted versus managed SaaS (for publishers)

If you're building a portal, the core decision is who runs the infrastructure.

CKAN is free, open-source, self-hosted software — you (or a contracted integrator) run and maintain it yourself, in exchange for full control and no license fee. It powers many of the largest national open-data portals worldwide, including the technology underlying Data.gov itself.

Tyler Data & Insights (Socrata's rebranded successor after acquisition by Tyler Technologies), Opendatasoft and Junar are all managed cloud SaaS instead: agencies publish through a hosted workflow with no infrastructure to run themselves, in exchange for an ongoing subscription relationship and less control over the underlying platform. Among these three, positioning differs slightly — Tyler Data & Insights leans toward government performance-management dashboards alongside catalog publishing; Opendatasoft explicitly serves both public open-data publishing and internal enterprise data-sharing from the same platform, with multi-domain support for running several branded portals from one back end; Junar's case studies concentrate specifically on Latin American state and municipal open-data initiatives, a different regional footprint than its more US/Europe-weighted peers.

Choosing self-hosted CKAN versus a managed SaaS option is really a build-versus-buy decision with the usual trade-offs: CKAN is free to license but not free to run — someone in your organization (or a paid integrator) owns hosting, upgrades and customization indefinitely. A managed SaaS product costs a recurring subscription but removes that operational burden.

Coverage and harmonization (for consumers)

If you're pulling data rather than publishing it, the sources differ mainly in scope and how comparable the figures are across geographies.

• Data.gov aggregates datasets published by US federal executive-branch agencies into one catalog, harvesting metadata automatically so datasets stay discoverable even though the underlying files remain hosted by the originating agency. Because it aggregates rather than standardizes, dataset quality and documentation vary by contributing agency.
• Eurostat is the EU's own statistical office, and its defining value is harmonization: every member state reports using shared definitions and methodology, so cross-country EU comparisons are genuinely comparable rather than reconciled after the fact, down to sub-national (NUTS) regional breakdowns.
• World Bank Open Data covers global development indicators — GDP, poverty, education, health, infrastructure, environment — for nearly every country, making it Eurostat's natural complement rather than a substitute: Eurostat covers the EU in depth, World Bank Open Data covers the world at a coarser but still consistent grain.
• Our World in Data doesn't collect primary data itself; it curates and standardizes long-run datasets aggregated from primary sources like the UN, WHO and World Bank, and pairs every chart with explanatory articles for context. It sits downstream of sources like World Bank Open Data and Eurostat rather than competing with them.

If you need EU-specific granularity, start with Eurostat. If you need global coverage, start with World Bank Open Data. If you want curated, narrative-explained charts rather than raw indicator tables, Our World in Data is built for that specifically — and its data and code are both openly licensed (CC BY / MIT) for reuse, including embeddable interactive charts.

Licensing and reuse terms

Confirm the actual reuse license before building anything on top of a source, since terms vary: Our World in Data publishes under CC BY for content and MIT for code; Eurostat permits reuse under the EU's own open-data licence; Data.gov and World Bank Open Data are free public services without a stated commercial-style license restriction in their own records. For publishing software (CKAN, Socrata, Opendatasoft, Junar), the licensing question is different — it's about the software's own license (CKAN is AGPL-3.0) versus what license your organization chooses to apply to the datasets you publish through it, which is your decision, not the platform's.

How pricing scales

• CKAN is free and open source, with self-hosting cost being your infrastructure and staff time, not a license fee.
• Socrata (Tyler Data & Insights), Opendatasoft and Junar are all quote-based SaaS subscriptions with no published pricing.
• Data.gov, Eurostat and World Bank Open Data are free public services funded by government or intergovernmental budgets, not sold to users at all.
• Our World in Data is free, funded by philanthropic grants (including from the Gates Foundation), partner institutions and reader donations rather than by selling access.

A shortlist by situation

• If you're a government or organization publishing your own open-data portal and want full control with no license fee, look at CKAN, accepting the self-hosting responsibility that comes with it.
• If you want a managed portal with no infrastructure to run, compare Opendatasoft (public plus internal data, multi-brand), Tyler Data & Insights (catalog plus performance dashboards) and Junar (strong Latin American public-sector presence) — see the direct CKAN-versus-Socrata comparison below for the self-hosted-versus-managed trade-off specifically.
• If you need US federal datasets, start at Data.gov.
• If you need harmonized EU statistics, start at Eurostat.
• If you need global development indicators, start at World Bank Open Data — see the direct comparison with Eurostat below for how the two complement each other.
• If you want curated, explained global data rather than raw indicator tables, start at Our World in Data.

Questions to ask vendors

• For publishing software: what does migrating an existing catalog of datasets into the new platform actually involve, and who does that work?
• For managed SaaS: what happens to published data and its URLs if we later switch providers?
• For any source: how current is the data, and what is the actual update cadence per dataset, not just for the platform as a whole?
• What is the exact reuse license for the data itself, separate from any license covering the platform software?
• Does the platform support programmatic access (API, bulk download) sufficient for our analysis pipeline, not just a browser interface?

Common mistakes

• Choosing self-hosted CKAN without budgeting for the ongoing hosting, upgrade and data governance work it requires — "free" software is not a free program.
• Treating a national aggregator like Data.gov as having standardized data quality across every contributing agency, when it explicitly does not.
• Building analysis on a downstream, curated source like Our World in Data without checking whether the primary source it draws from better fits a specific research need.
• Comparing EU figures from Eurostat against non-EU figures from a different source without checking that definitions and methodology actually align — harmonization is Eurostat's specific value within the EU, not a property it extends to outside comparisons automatically.

We compared two pairs directly: CKAN vs Tyler Data & Insights (Socrata) for the self-hosted-versus-managed portal decision, and Eurostat vs World Bank Open Data for EU-depth versus global-coverage statistics. See every tool in this category for the full list.