Equal Experts vs DataArt: full comparison for 2026
Quick verdict
Equal Experts (4.2/5) edges ahead of DataArt (4.0/5) overall. Equal Experts is the better choice for senior engineers for complex delivery, government and retail. 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.
Equal Experts vs DataArt: head-to-head summary
| Criterion | Equal Experts | DataArt |
|---|---|---|
| Founded | 2007 | 1997 |
| HQ | London, United Kingdom | New York, United States (London office) |
| Team size | 1,000–4,000 (staff and associates) | 5,000–6,000 |
| Rating | 4.2 / 5 | 4.0 / 5 |
| Primary differentiator | Senior-only teams drawn from a large associate network | Two decades of London presence and specialist travel-industry engineering |
| Pricing model | Time and materials, capability-based | Time and materials, dedicated team |
| Min. engagement | Not published | Not published |
| Primary tech stack | Java, Kotlin, TypeScript | Java, .NET, Python |
| Industries served | Public sector, Retail, Financial services, Telecoms | Travel and hospitality, Financial services, Healthcare, Media, Retail |
Equal Experts vs DataArt: overview
Equal Experts
Equal Experts launched in London in 2007 with a flat structure built around experienced engineers. The company lists a network of around 4,000 people, a mix of permanent staff and independent associates, and a consultancy directory reports that it is owned by its consultant and customer network through the Equal Experts Trust. UK clients have included HMRC, Defra and John Lewis. Teams are mostly senior and onshore, and its pricing reflects that.
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: Equal Experts vs DataArt
| Capability | Equal Experts | DataArt |
|---|---|---|
| Custom software development | ✓ | ✓ |
| Mobile app development | ✗ | ✗ |
| Cloud & DevOps | ✓ | ✓ |
| Data & AI | ✓ | ✓ |
| Legacy modernisation | ✓ | ✓ |
| Embedded & IoT | ✗ | ✗ |
| Dedicated team model | ✗ | ✓ |
| Fixed-price projects | ✗ | ✗ |
Tech stack comparison: Equal Experts vs DataArt
| Framework / platform | Equal Experts | DataArt |
|---|---|---|
| .NET | N/A | ✓ |
| Java | ✓ | ✓ |
| Python | N/A | ✓ |
| React | N/A | ✓ |
| AWS | ✓ | ✓ |
| Azure | N/A | ✓ |
| Kubernetes | ✓ | N/A |
| Embedded | N/A | N/A |
Pricing comparison: Equal Experts vs DataArt
| Criterion | Equal Experts | DataArt |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Time and materials, Team extension | Dedicated team, Time and materials |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Equal Experts vs DataArt
| Dimension | Equal Experts | DataArt |
|---|---|---|
| Best company size | Mid-market to enterprise | Startup to mid-market |
| Best industries | Public sector, Retail, Financial services | Travel and hospitality, Financial services, Healthcare |
| Best use cases | A government department needs senior engineers to rescue a struggling platform., A retailer wants a cloud platform team to build internal developer tooling. | A travel company needs booking-engine and distribution work., A financial firm wants legacy trading software modernised. |
| Typical project type | Time and materials | Dedicated team |
Equal Experts vs DataArt: pros and cons
| Equal Experts | |
|---|---|
| + | Consultants are typically very experienced, which reduces the need for close supervision |
| + | Proven track record on large UK government platforms such as HMRC's |
| + | Ownership structure aligns consultants with long-term client outcomes |
| - | Associate-heavy model means team members may change between engagements |
| - | Mostly onshore and senior, so day rates are among the higher ones on this list |
| 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 Equal Experts?
A typical fit: a government department needs senior engineers to rescue a struggling platform.
Senior-only teams drawn from a large associate network. Minimum engagement is not publicly disclosed. Works best with clients in Public sector, Retail, Financial services, Telecoms.
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: Equal Experts vs DataArt
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Both offer fixed-price models |
| You need a large dedicated team for an ongoing programme | DataArt |
| Your budget is at the lower end | Compare: Equal Experts (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 | Equal Experts |
| Your product includes hardware, firmware or connected devices | Neither; consider an embedded specialist |
Use case fit: Equal Experts vs DataArt
| Use case | Equal Experts fit | DataArt fit | Winner |
|---|---|---|---|
| A government department needs senior engineers to rescue a struggling platform. | Strong | Limited | Equal Experts |
| A retailer wants a cloud platform team to build internal developer tooling. | Strong | Limited | Equal Experts |
| 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 | Limited | Limited | Both equally |
Verdict: Equal Experts vs DataArt
Equal Experts (4.2/5) is the stronger overall choice for most Software Development Outsourcing projects. Senior-only teams drawn from a large associate network.
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
Equal Experts vs DataArt FAQ
Is Equal Experts better than DataArt?
Equal Experts (4.2/5) scores higher overall, but "better" depends on your use case. Equal Experts's strongest advantage: consultants are typically very experienced, which reduces the need for close supervision. DataArt's strongest advantage: london office has been open since 2001.
How do Equal Experts and DataArt differ in pricing?
Equal Experts uses time and materials, 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: Equal Experts 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 Equal Experts and DataArt?
Equal Experts's primary differentiator is: senior-only teams drawn from a large associate network. DataArt's primary differentiator is: two decades of London presence and specialist travel-industry engineering. They also differ in team size (1,000–4,000 (staff and associates) vs 5,000–6,000), minimum engagement (Not published vs Not published), and primary industries served (Public sector, Retail vs Travel and hospitality, Financial services).
Verify all details directly with each company before making a decision.