SoftServe vs DataArt: full comparison for 2026
Quick verdict
SoftServe (4.0/5) edges ahead of DataArt (4.0/5) overall. SoftServe is the better choice for big cloud and data programmes, Ukrainian rates at volume. 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.
SoftServe vs DataArt: head-to-head summary
| Criterion | SoftServe | DataArt |
|---|---|---|
| Founded | 1993 | 1997 |
| HQ | Austin, United States and Lviv, Ukraine (London offices) | New York, United States (London office) |
| Team size | 10,000+ | 5,000–6,000 |
| Rating | 4.0 / 5 | 4.0 / 5 |
| Primary differentiator | Scale and cloud partner status combined with Eastern European rates | Two decades of London presence and specialist travel-industry engineering |
| Pricing model | Dedicated team, time and materials, managed service | Time and materials, dedicated team |
| Min. engagement | Not published | Not published |
| Primary tech stack | AWS, Google Cloud, Azure | Java, .NET, Python |
| Industries served | Healthcare, Retail, Financial services, Manufacturing, Media | Travel and hospitality, Financial services, Healthcare, Media, Retail |
SoftServe vs DataArt: overview
SoftServe
SoftServe was founded in Lviv in 1993 and is now co-headquartered in Austin, Texas. Revelio Labs estimated about 13,100 employees in 2025, down roughly 3% on the year. It opened its London office around 2014 as part of a Western European expansion and trades in the UK as SoftServe Systems Ltd. Most delivery happens in Ukraine, Poland, Bulgaria and Latin America.
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: SoftServe vs DataArt
| Capability | SoftServe | DataArt |
|---|---|---|
| Custom software development | ✓ | ✓ |
| Mobile app development | ✗ | ✗ |
| Cloud & DevOps | ✓ | ✓ |
| Data & AI | ✓ | ✓ |
| Legacy modernisation | ✗ | ✓ |
| Embedded & IoT | ✓ | ✗ |
| Dedicated team model | ✓ | ✓ |
| Fixed-price projects | ✗ | ✗ |
Tech stack comparison: SoftServe vs DataArt
| Framework / platform | SoftServe | DataArt |
|---|---|---|
| .NET | ✓ | ✓ |
| Java | ✓ | ✓ |
| Python | ✓ | ✓ |
| React | N/A | ✓ |
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Kubernetes | ✓ | N/A |
| Embedded | N/A | N/A |
Pricing comparison: SoftServe vs DataArt
| Criterion | SoftServe | DataArt |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Dedicated team, Managed service, Time and materials | Dedicated team, Time and materials |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: SoftServe vs DataArt
| Dimension | SoftServe | DataArt |
|---|---|---|
| Best company size | Enterprise | Startup to mid-market |
| Best industries | Healthcare, Retail, Financial services | Travel and hospitality, Financial services, Healthcare |
| Best use cases | A retailer needs a large cloud migration team., A healthcare firm wants a data platform with machine learning features. | A travel company needs booking-engine and distribution work., A financial firm wants legacy trading software modernised. |
| Typical project type | Dedicated team | Dedicated team |
SoftServe vs DataArt: pros and cons
| SoftServe | |
|---|---|
| + | Very large talent pool for fast ramp-up |
| + | Strong cloud and data engineering practices |
| + | Lower rates than UK-headquartered vendors of similar size |
| - | UK office is mostly a commercial presence; delivery is overseas |
| - | Smaller UK accounts may struggle to get senior attention |
| - | Headcount has edged down since 2024 |
| 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 SoftServe?
A typical fit: a retailer needs a large cloud migration team.
Scale and cloud partner status combined with Eastern European rates. Minimum engagement is not publicly disclosed. Works best with clients in Healthcare, Retail, Financial services, Manufacturing, Media.
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: SoftServe 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 | SoftServe |
| Your budget is at the lower end | Compare: SoftServe (Not published) vs DataArt (Not published) |
| You need specialist depth in a specific vertical | SoftServe |
| 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 | SoftServe |
Use case fit: SoftServe vs DataArt
| Use case | SoftServe fit | DataArt fit | Winner |
|---|---|---|---|
| A retailer needs a large cloud migration team. | Strong | Limited | SoftServe |
| A healthcare firm wants a data platform with machine learning features. | Strong | Limited | SoftServe |
| 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 | Strong | Limited | SoftServe |
| You want a fixed-price first phase before a longer engagement | Limited | Limited | Both equally |
Verdict: SoftServe vs DataArt
SoftServe (4.0/5) is the stronger overall choice for most Software Development Outsourcing projects. Scale and cloud partner status combined with Eastern European rates.
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
SoftServe vs DataArt FAQ
Is SoftServe better than DataArt?
SoftServe (4.0/5) scores higher overall, but "better" depends on your use case. SoftServe's strongest advantage: very large talent pool for fast ramp-up. DataArt's strongest advantage: london office has been open since 2001.
How do SoftServe and DataArt differ in pricing?
SoftServe uses dedicated team, time and materials, managed service 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: SoftServe 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 SoftServe and DataArt?
SoftServe's primary differentiator is: scale and cloud partner status combined with Eastern European rates. DataArt's primary differentiator is: two decades of London presence and specialist travel-industry engineering. They also differ in team size (10,000+ vs 5,000–6,000), minimum engagement (Not published vs Not published), and primary industries served (Healthcare, Retail vs Travel and hospitality, Financial services).
Verify all details directly with each company before making a decision.