Scott Logic vs DataArt: full comparison for 2026
Quick verdict
Scott Logic (4.3/5) edges ahead of DataArt (4.0/5) overall. Scott Logic is the better choice for capital markets and government, UK-only delivery required. DataArt is the stronger option for travel and finance firms, long-term nearshore teams. The right choice depends on your project size, budget, and required tech stack.
Scott Logic vs DataArt: head-to-head summary
| Criterion | Scott Logic | DataArt |
|---|---|---|
| Founded | 2005 | 1997 |
| HQ | Newcastle upon Tyne, United Kingdom | New York, United States (London office) |
| Team size | 400–500 | 5,000–6,000 |
| Rating | 4.3 / 5 | 4.0 / 5 |
| Primary differentiator | Trading-system and capital-markets engineering from teams based entirely in the UK | Two decades of London presence and specialist travel-industry engineering |
| Pricing model | Time and materials, fixed price, capability-based | Time and materials, dedicated team |
| Min. engagement | Not published | Not published |
| Primary tech stack | Java, C#, TypeScript | Java, .NET, Python |
| Industries served | Financial services, Capital markets, Public sector, Energy | Travel and hospitality, Financial services, Healthcare, Media, Retail |
Scott Logic vs DataArt: overview
Scott Logic
Former Lehman Brothers executive Gary Scott founded Scott Logic in Newcastle in 2005. It now employs 400+ people across Newcastle, London, Edinburgh, Bristol and Leeds, all in the UK. The firm is best known for trading and capital-markets software and for central government digital work. Every engineer is UK-based, which suits security-cleared and data-sensitive projects but rules out offshore cost savings.
DataArt
Eugene Goland founded DataArt in New York in 1997, and the company opened in London in 2001. It reports more than 6,000 people as of September 2025, spread across Central and Eastern Europe, Latin America and elsewhere. Travel and hospitality, finance and healthcare are its strongest industries. UK clients get a long-standing London presence with delivery from lower-cost locations.
Services and capabilities: Scott Logic vs DataArt
| Capability | Scott Logic | DataArt |
|---|---|---|
| Custom software development | ✓ | ✓ |
| Mobile app development | ✗ | ✗ |
| Cloud & DevOps | ✓ | ✓ |
| Data & AI | ✓ | ✓ |
| Legacy modernisation | ✗ | ✓ |
| Embedded & IoT | ✗ | ✗ |
| Dedicated team model | ✗ | ✓ |
| Fixed-price projects | ✓ | ✗ |
Tech stack comparison: Scott Logic vs DataArt
| Framework / platform | Scott Logic | DataArt |
|---|---|---|
| .NET | N/A | ✓ |
| Java | ✓ | ✓ |
| Python | N/A | ✓ |
| React | ✓ | ✓ |
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Kubernetes | ✓ | N/A |
| Embedded | N/A | N/A |
Pricing comparison: Scott Logic vs DataArt
| Criterion | Scott Logic | DataArt |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Fixed project, Time and materials | Dedicated team, Time and materials |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Scott Logic vs DataArt
| Dimension | Scott Logic | DataArt |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Financial services, Capital markets, Public sector | Travel and hospitality, Financial services, Healthcare |
| Best use cases | An investment bank needs a trading front end rebuilt by a UK-cleared team., A government department needs a digital service built to GDS standards. | A travel company needs booking-engine and distribution work., A financial firm wants legacy trading software modernised. |
| Typical project type | Fixed project | Dedicated team |
Scott Logic vs DataArt: pros and cons
| Scott Logic | |
|---|---|
| + | UK-only staffing makes security clearance and data-residency requirements straightforward |
| + | Rare depth in trading platforms and low-latency financial software |
| + | Regional offices outside London keep rates below the big London consultancies |
| - | No nearshore or offshore delivery, so rates are UK onshore rates for every role |
| - | Narrower industry spread than generalist outsourcing vendors |
| DataArt | |
|---|---|
| + | London office has been open since 2001 |
| + | Specialist knowledge of travel booking and distribution systems |
| + | Delivery spread across several regions |
| - | US headquarters means UK contracts may sit with a non-UK parent |
| - | Headcount estimates vary widely between sources |
Who should choose Scott Logic?
A typical fit: an investment bank needs a trading front end rebuilt by a UK-cleared team.
Trading-system and capital-markets engineering from teams based entirely in the UK. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Capital markets, Public sector, Energy.
Who should choose DataArt?
A typical fit: a travel company needs booking-engine and distribution work.
Two decades of London presence and specialist travel-industry engineering. Minimum engagement is not publicly disclosed. Works best with clients in Travel and hospitality, Financial services, Healthcare, Media, Retail.
Decision matrix: Scott Logic vs DataArt
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Scott Logic |
| You need a large dedicated team for an ongoing programme | DataArt |
| Your budget is at the lower end | Compare: Scott Logic (Not published) vs DataArt (Not published) |
| You need specialist depth in a specific vertical | DataArt |
| You want engineers added to your own in-house team | Neither lists team extension; ask about dedicated teams |
| Your product includes hardware, firmware or connected devices | Neither; consider an embedded specialist |
Use case fit: Scott Logic vs DataArt
| Use case | Scott Logic fit | DataArt fit | Winner |
|---|---|---|---|
| An investment bank needs a trading front end rebuilt by a UK-cleared team. | Strong | Limited | Scott Logic |
| A government department needs a digital service built to GDS standards. | Strong | Limited | Scott Logic |
| A travel company needs booking-engine and distribution work. | Limited | Strong | DataArt |
| A financial firm wants legacy trading software modernised. | Limited | Strong | DataArt |
| You need hardware, firmware or IoT work in the same contract | Limited | Limited | Both equally |
| You want a fixed-price first phase before a longer engagement | Strong | Limited | Scott Logic |
Verdict: Scott Logic vs DataArt
Scott Logic (4.3/5) is the stronger overall choice for most Software Development Outsourcing projects. Trading-system and capital-markets engineering from teams based entirely in the UK.
DataArt (4.0/5) is worth a look in a scenario like this: a financial firm wants legacy trading software modernised. If your situation matches that, DataArt is a competitive option.
Related comparisons
Scott Logic vs DataArt FAQ
Is Scott Logic better than DataArt?
Scott Logic (4.3/5) scores higher overall, but "better" depends on your use case. Scott Logic's strongest advantage: UK-only staffing makes security clearance and data-residency requirements straightforward. DataArt's strongest advantage: london office has been open since 2001.
How do Scott Logic and DataArt differ in pricing?
Scott Logic uses time and materials, fixed price, capability-based pricing. DataArt uses time and materials, dedicated team pricing. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Scott Logic or DataArt?
DataArt is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each company before shortlisting.
What are the main differences between Scott Logic and DataArt?
Scott Logic's primary differentiator is: trading-system and capital-markets engineering from teams based entirely in the UK. DataArt's primary differentiator is: two decades of London presence and specialist travel-industry engineering. They also differ in team size (400–500 vs 5,000–6,000), minimum engagement (Not published vs Not published), and primary industries served (Financial services, Capital markets vs Travel and hospitality, Financial services).
Verify all details directly with each company before making a decision.