We believe organizations should have comprehensive, affordable, and frictionless access to their own data.
.svg)
What this is
The Open Data Infrastructure: Data Access Scorecard is a practical benchmarking tool that shows how easily organizations can get their data out of the systems they use today. It compares how different cloud apps and platforms let you programmatically access, move, and reuse your data – in ways that matter for real projects, not just theory.
Why it exists
Today’s business questions – from dashboards to personalization to AI models – depend on reliable, fast access to many kinds of data. But not all platforms treat data the same. Some make it easy. Others make it costly, slow, or incomplete. That hidden friction can block projects, raise costs, and lock teams into choices they’ll regret later. This scorecard exists to make that friction visible.
How the scorecard helps you
- See tradeoffs clearly. Side-by-side comparisons show technical and financial implications, not marketing claims.
- Plan with foresight. Understand how access limitations affect analytics, automation, and AI before they become blockers.
- Protect optionality. Make choices that keep future architecture flexible — so you can adopt new tools or shift vendors without rebuilding everything.
This is not about naming winners or losers. It’s about transparency and preparedness. The goal is to give teams the facts they need to balance speed, cost, and control – and to avoid surprises as their use cases grow more demanding.
Explore the scorecard to compare specific platforms, download a short technical checklist for your team, or use the questions in the scorecard to run a quick internal audit of your own systems.
Scorecard framework
The ODI scorecard evaluates vendors across 3 objective dimensions of programmatic data access. All ratings are based on publicly documented, generally available capabilities. Each criterion is rated on a 3-tier scale:
Coverage
Measures the availability of core data objects via documented APIs.
- Assesses whether primary business entities can be accessed programmatically.
- Focuses on publicly documented and supported API endpoints.
- Excludes manual exports or private integrations.
Rating scale
Performance
Evaluates how efficiently data can be extracted at scale.
- Reviews support for incremental extraction (e.g., change-based updates where available).
- Considers throughput and technical limits.
- Assesses suitability for production-grade replication.
Rating scale
Egress charges
Assesses the cost of moving data out of the platform — whether charged to customers directly or to third-party integration tools.
- Reviews publicly documented pricing related to API-based extraction.
- Considers recurring or usage-based data transfer fees.
- Evaluates the financial impact of sustained replication.
Egress charges are assessed on both direct customer fees (paid export add-ons, premium API tiers required for baseline replication) and fees imposed on third-party integration vendors (revenue sharing, mandatory marketplace participation, paid partner enrollment, per-call charges on core data domains).
Rating scale
FAQs
This scorecard is published by Fivetran, a data movement platform that integrates with many of the vendors evaluated here. As a data movement platform that integrates with hundreds of enterprise applications, Fivetran operates at the intersection of many vendor ecosystems and sees firsthand how differences in data access models impact customers. Ratings are determined using publicly available documentation and are not influenced by commercial relationships with any vendor. No vendor has paid for or reviewed their score.
Ratings are determined independently using publicly available documentation, without input or influence from any evaluated vendor. The 3-tier scale and evaluation criteria are applied consistently across all vendors, including those Fivetran integrates with commercially.
Ratings are based on publicly available vendor documentation and direct experience operating a large-scale data integration platform across hundreds of vendor connections. All ratings reflect generally available, publicly documented capabilities only — manual file exports, private integrations, and undocumented endpoints are excluded.
Data portability is one factor among many in vendor selection and may carry more or less weight depending on your analytics and AI requirements. A poor rating does not mean data access is impossible — it indicates added complexity or cost. We encourage buyers to use this scorecard alongside other criteria when evaluating platforms.
Ratings are reviewed and updated on a rolling basis as new information becomes available.
Vendors can improve their rating by making substantive, publicly documented improvements to API coverage, data extraction performance, or egress pricing.
To submit a correction or update, contact us at contact@opendatainfrastructure.com.