Flat pricing. No per-user, per-source, or per-row fees — add your whole team and every data source for one predictable cost. Tell us about your organisation and we'll tailor the right plan for you.
The platform, hosted and maintained for you.
Hands-on help to design and run your data systems.
Not sure what's right for you? Schedule a call and we'll help you figure out the right mix.
Not borne by Dalgo. Provision AWS RDS PostgreSQL or BigQuery — billed directly by your cloud provider, typically $250–500/year.
Not borne by Dalgo. Dalgo's native dashboards are included — bringing another BI tool (Power BI, Superset) is billed separately by that vendor.
Dalgo SaaS costs ₹2.04 lakh per organisation per year, or ₹17,000 per month, in India. For nonprofits based outside India it is US$3,000 per year or US$250 per month. This is a flat organisation-level price, not a per-user or per-pipeline charge.
Consulting and implementation are priced separately, from ₹2,500 per hour in India or US$35 per hour internationally. Your warehouse is your own cloud infrastructure and is billed by your cloud provider. See the pricing page for what to plan for.
Dalgo has a flat pricing structure: your subscription covers all features and unlimited usage, with no per-user fees. See the pricing page for current rates.
Hosted Superset (an alternative to Dalgo dashboards), consulting services for implementation, bespoke data work, training, and strategy. Your warehouse is your own cloud infrastructure and is billed by your cloud provider.
Platform support is included. We help resolve failing pipelines and other platform-level issues, and provide guidance when your team needs help using the product or deciding the next step.
Unless included in your agreement, support does not cover bespoke data modelling, new connectors, historical-data remediation, source-system data-entry corrections, major dashboard redesigns, or organisation-wide strategy work. These are scoped separately.
Irrespective of the questions that come our way — whether from donors or the government — we're now able to focus much more on building the story, rather than spending time working on the data to build that story.
