SoftServe vs DataArt: full comparison for 2026
Quick verdict
SoftServe (4.5/5) edges ahead of DataArt (4.0/5) overall. SoftServe is the better choice for US enterprises wanting a domestic HQ backing a large offshore delivery bench. DataArt is the stronger option for US buyers in finance, media, or healthcare wanting industry-specific delivery depth. 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 | Lviv, Ukraine / Austin, Texas (dual headquarters) | New York, New York, USA |
| Team size | 13,000+ | 5,700+ |
| Rating | 4.5 / 5 | 4.0 / 5 |
| Primary differentiator | An Austin, Texas corporate headquarters that functions as a true legal seat rather than a sales office bolted onto a European or Indian parent | A company that was founded in New York from day one, unlike a European or Indian firm that opened a US office years later |
| Pricing model | Dedicated teams and fixed-scope projects, scoped per engagement | Dedicated teams scoped by industry vertical |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | AWS, Azure, GCP | AWS, Azure, Java |
| Industries served | Healthcare, Financial services, Retail, Energy | Financial services, Media & entertainment, Healthcare, Travel |
SoftServe vs DataArt: overview
SoftServe
SoftServe runs dual headquarters, Austin, Texas and Lviv, Ukraine, a structural detail that matters more here than on a Ukraine-origin site, since it gives US buyers an actual domestic legal entity to contract with rather than a European or Indian parent. Founded in 1993, the company has grown to more than 13,000 employees and built a broad practice spanning cloud, data and AI, and digital product engineering. Its scale supports large, multi-year US enterprise programs, and the Austin base means procurement, legal, and account management conversations happen with people on US business hours by default.
DataArt
DataArt was founded in New York City in 1997 by Eugene Goland and has kept its corporate headquarters there ever since, expanding to more than 5,700 professionals across 20-plus locations spanning the US, Europe, Latin America, and the Middle East. Its focus leans specifically toward finance, media and entertainment, healthcare and life sciences, retail, and travel and hospitality, industry depth rather than a horizontal generalist pitch. For a US buyer, the New York incorporation predates most of the Eastern European outsourcing wave by years, giving it a genuinely different origin story than firms that opened a US sales office after building an offshore delivery arm first.
Services and capabilities: SoftServe vs DataArt
| Capability | SoftServe | DataArt |
|---|---|---|
| Custom software development | ✓ | ✓ |
| IT consulting | ✗ | ✗ |
| Cloud & DevOps | ✓ | ✓ |
| Staff aug / team extension | ✗ | ✗ |
| Fixed-price projects | ✓ | ✓ |
| Dedicated team model | ✓ | ✓ |
Tech stack comparison: SoftServe vs DataArt
| Framework / platform | SoftServe | DataArt |
|---|---|---|
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| React | ✓ | ✓ |
| Node.js | N/A | N/A |
| Java | N/A | ✓ |
Pricing comparison: SoftServe vs DataArt
| Criterion | SoftServe | DataArt |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Dedicated team, Fixed project, Consulting | Dedicated team, Fixed project, Consulting |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: SoftServe vs DataArt
| Dimension | SoftServe | DataArt |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Healthcare, Financial services, Retail | Financial services, Media & entertainment, Healthcare |
| Best use cases | A US enterprise that wants a domestic contracting entity behind a large offshore engineering bench., A multi-year cloud and data modernization program needing sustained capacity across several workstreams. | A financial-services or media company wanting a vendor with genuine, decades-deep industry expertise rather than a generalist team., A US buyer specifically preferring a domestically founded firm over one that expanded into the US market later. |
| Typical project type | Dedicated team | Dedicated team |
SoftServe vs DataArt: pros and cons
| SoftServe | |
|---|---|
| + | The Austin corporate headquarters functions as a real legal seat, beyond a marketing address layered onto European delivery. |
| + | Enough scale, 13,000+ people, to staff large multi-year enterprise programs without running out of capacity mid-project. |
| + | Broad practice across cloud, data and AI, and product engineering under one contract. |
| + | Long operating history since 1993 gives it more enterprise procurement references than most boutiques on this list. |
| - | Size brings account layers and process overhead a smaller US buyer with a lean, fast-moving team may find heavier than necessary |
| - | Most day-to-day delivery still happens out of Ukraine, so the Austin HQ is real but the bulk of the engineering headcount is not physically in the US |
| DataArt | |
|---|---|
| + | Founded and headquartered in New York from day one, a genuinely different origin story than a vendor that added a US address later. |
| + | Deep, named-industry specialization in finance, media, healthcare, and travel rather than a generic full-stack pitch. |
| + | Nearly three decades of operating history with a stable, privately held ownership structure. |
| + | Diversified delivery footprint across four regions reduces exposure to any single country's disruption. |
| - | Industry-vertical focus is a strength for finance, media, or healthcare buyers but a weaker fit outside those specific sectors |
| - | As a privately held company, financial details aren't publicly auditable the way a NASDAQ- or NYSE-listed competitor's are |
Who should choose SoftServe?
A typical fit: a US enterprise that wants a domestic contracting entity behind a large offshore engineering bench.
An Austin, Texas corporate headquarters that functions as a true legal seat rather than a sales office bolted onto a European or Indian parent. Minimum engagement is not publicly disclosed. Works best with clients in Healthcare, Financial services, Retail, Energy.
Who should choose DataArt?
A typical fit: a financial-services or media company wanting a vendor with genuine, decades-deep industry expertise rather than a generalist team.
A company that was founded in New York from day one, unlike a European or Indian firm that opened a US office years later. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Media & entertainment, Healthcare, Travel.
Decision matrix: SoftServe vs DataArt
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | SoftServe |
| You need a large dedicated team for an ongoing programme | SoftServe |
| Your budget is at the lower end | Compare: SoftServe (Not disclosed) vs DataArt (Not disclosed) |
| You need specialist depth in a specific vertical | SoftServe |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | Both may offer discovery engagements |
Use case fit: SoftServe vs DataArt
| Use case | SoftServe fit | DataArt fit | Winner |
|---|---|---|---|
| A US enterprise that wants a domestic contracting entity behind a large offshore engineering bench. | Strong | Strong | Both equally |
| A multi-year cloud and data modernization program needing sustained capacity across several workstreams. | Strong | Strong | Both equally |
| A financial-services or media company wanting a vendor with genuine, decades-deep industry expertise rather than a generalist team. | Strong | Strong | Both equally |
| A US buyer specifically preferring a domestically founded firm over one that expanded into the US market later. | Strong | Strong | Both equally |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: SoftServe vs DataArt
SoftServe (4.5/5) is the stronger overall choice for most IT Outsourcing (USA) projects. An Austin, Texas corporate headquarters that functions as a true legal seat rather than a sales office bolted onto a European or Indian parent.
DataArt (4.0/5) is worth a look if you need a US buyer specifically preferring a domestically founded firm over one that expanded into the US market later. If your situation matches that, DataArt is a competitive option.
Related comparisons
SoftServe vs DataArt FAQ
Is SoftServe better than DataArt?
SoftServe (4.5/5) scores higher overall, but "better" depends on your use case. SoftServe's strongest advantage: the Austin corporate headquarters functions as a real legal seat, beyond a marketing address layered onto European delivery. DataArt's strongest advantage: founded and headquartered in New York from day one, a genuinely different origin story than a vendor that added a US address later.
How do SoftServe and DataArt differ in pricing?
SoftServe uses dedicated teams and fixed-scope projects, scoped per engagement pricing. DataArt uses dedicated teams scoped by industry vertical 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?
SoftServe 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: an Austin, Texas corporate headquarters that functions as a true legal seat rather than a sales office bolted onto a European or Indian parent. DataArt's primary differentiator is: a company that was founded in New York from day one, unlike a European or Indian firm that opened a US office years later. They also differ in team size (13,000+ vs 5,700+), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Healthcare, Financial services vs Financial services, Media & entertainment).
Verify all details directly with each company before making a decision.