EPAM Systems vs DataArt: full comparison for 2026
Quick verdict
EPAM Systems (4.4/5) edges ahead of DataArt (4.0/5) overall. EPAM Systems is the better choice for US enterprises that want a publicly traded vendor with audited financials. 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.
EPAM Systems vs DataArt: head-to-head summary
| Criterion | EPAM Systems | DataArt |
|---|---|---|
| Founded | 1993 | 1997 |
| HQ | Newtown, Pennsylvania, USA (large Ukraine delivery centers) | New York, New York, USA |
| Team size | 50,000+ globally; large Ukraine workforce | 5,700+ |
| Rating | 4.4 / 5 | 4.0 / 5 |
| Primary differentiator | The only company on this list that is both US-incorporated and NYSE-listed, with the disclosure obligations that come with it | 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 | Enterprise engagement models, dedicated teams, and managed delivery, negotiated per program | Dedicated teams scoped by industry vertical |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | AWS, Azure, GCP | AWS, Azure, Java |
| Industries served | Financial services, Healthcare, Retail, Media | Financial services, Media & entertainment, Healthcare, Travel |
EPAM Systems vs DataArt: overview
EPAM Systems
EPAM Systems is headquartered in Newtown, Pennsylvania and trades on the New York Stock Exchange under NYSE: EPAM, which puts it in a different regulatory and financial-disclosure category than almost every other company reviewed here. Founded in 1993, it employs more than 50,000 people globally, with a large share of engineering delivery historically concentrated in Ukraine and Belarus before the company diversified its delivery footprint further across Central Europe, Latin America, and India in response to regional disruption. For a US procurement team, the NYSE listing means audited public financials and SEC disclosure, a level of transparency few privately held outsourcing vendors offer.
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: EPAM Systems vs DataArt
| Capability | EPAM Systems | DataArt |
|---|---|---|
| Custom software development | ✓ | ✓ |
| IT consulting | ✗ | ✗ |
| Cloud & DevOps | ✓ | ✓ |
| Staff aug / team extension | ✗ | ✗ |
| Fixed-price projects | ✓ | ✓ |
| Dedicated team model | ✓ | ✓ |
Tech stack comparison: EPAM Systems vs DataArt
| Framework / platform | EPAM Systems | DataArt |
|---|---|---|
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| React | N/A | ✓ |
| Node.js | N/A | N/A |
| Java | ✓ | ✓ |
Pricing comparison: EPAM Systems vs DataArt
| Criterion | EPAM Systems | DataArt |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Dedicated team, Fixed project, Managed services | Dedicated team, Fixed project, Consulting |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: EPAM Systems vs DataArt
| Dimension | EPAM Systems | DataArt |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Financial services, Healthcare, Retail | Financial services, Media & entertainment, Healthcare |
| Best use cases | A public company or regulated enterprise that specifically wants a vendor with SEC-level financial transparency., A large-scale digital transformation program that needs sustained capacity across multiple delivery regions. | 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 |
EPAM Systems vs DataArt: pros and cons
| EPAM Systems | |
|---|---|
| + | Publicly traded on NYSE, so financial health and disclosures are auditable rather than taken on faith the way a private vendor requires. |
| + | US-incorporated with a Pennsylvania headquarters, giving procurement a domestic legal entity by default. |
| + | Deep, decades-long engineering bench across Central and Eastern Europe backing that US corporate shell. |
| + | Diversified delivery footprint across multiple regions reduces single-country geopolitical exposure compared to firms concentrated in one country. |
| - | Public-company scale means formal governance and account processes that move more slowly than a boutique vendor's |
| - | Pricing sits closer to large-enterprise-consulting territory than to a boutique firm's rates, which a smaller buyer should budget for upfront |
| 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 EPAM Systems?
A typical fit: a public company or regulated enterprise that specifically wants a vendor with SEC-level financial transparency.
The only company on this list that is both US-incorporated and NYSE-listed, with the disclosure obligations that come with it. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Healthcare, Retail, Media.
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: EPAM Systems vs DataArt
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | EPAM Systems |
| You need a large dedicated team for an ongoing programme | EPAM Systems |
| Your budget is at the lower end | Compare: EPAM Systems (Not disclosed) vs DataArt (Not disclosed) |
| You need specialist depth in a specific vertical | EPAM Systems |
| 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: EPAM Systems vs DataArt
| Use case | EPAM Systems fit | DataArt fit | Winner |
|---|---|---|---|
| A public company or regulated enterprise that specifically wants a vendor with SEC-level financial transparency. | Strong | Strong | Both equally |
| A large-scale digital transformation program that needs sustained capacity across multiple delivery regions. | 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: EPAM Systems vs DataArt
EPAM Systems (4.4/5) is the stronger overall choice for most IT Outsourcing (USA) projects. The only company on this list that is both US-incorporated and NYSE-listed, with the disclosure obligations that come with it.
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
EPAM Systems vs DataArt FAQ
Is EPAM Systems better than DataArt?
EPAM Systems (4.4/5) scores higher overall, but "better" depends on your use case. EPAM Systems's strongest advantage: publicly traded on NYSE, so financial health and disclosures are auditable rather than taken on faith the way a private vendor requires. 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 EPAM Systems and DataArt differ in pricing?
EPAM Systems uses enterprise engagement models, dedicated teams, and managed delivery, negotiated per program 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: EPAM Systems or DataArt?
EPAM Systems 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 EPAM Systems and DataArt?
EPAM Systems's primary differentiator is: the only company on this list that is both US-incorporated and NYSE-listed, with the disclosure obligations that come with it. 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 (50,000+ globally; large Ukraine workforce vs 5,700+), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Financial services, Healthcare vs Financial services, Media & entertainment).
Verify all details directly with each company before making a decision.