DataArt vs ScienceSoft: full comparison for 2026
Quick verdict
DataArt (4.0/5) edges ahead of ScienceSoft (3.8/5) overall. DataArt is the better choice for US buyers in finance, media, or healthcare wanting industry-specific delivery depth. ScienceSoft is the stronger option for US buyers wanting a Texas-headquartered vendor with a long, verifiable track record. The right choice depends on your project size, budget, and required tech stack.
DataArt vs ScienceSoft: head-to-head summary
| Criterion | DataArt | ScienceSoft |
|---|---|---|
| Founded | 1997 | 1989 |
| HQ | New York, New York, USA | McKinney, Texas, USA |
| Team size | 5,700+ | 750+ |
| Rating | 4.0 / 5 | 3.8 / 5 |
| Primary differentiator | A company that was founded in New York from day one, unlike a European or Indian firm that opened a US office years later | A US headquarters and nearly four-decade operating history, older than most of its Eastern European competitors |
| Pricing model | Dedicated teams scoped by industry vertical | Fixed-project and dedicated-team engagements |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | AWS, Azure, Java | AWS, Azure, .NET |
| Industries served | Financial services, Media & entertainment, Healthcare, Travel | Healthcare, Financial services, Retail |
DataArt vs ScienceSoft: overview
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.
ScienceSoft
ScienceSoft was founded in 1989 and is headquartered in McKinney, Texas, with more than 750 technical professionals on staff. Its client list includes IBM, Ford, eBay, Walmart, and NASA, and it holds a 4.8 rating on Clutch along with recognition in the IAOP Global Outsourcing 100 list across multiple years. Its Texas base and nearly four-decade operating history predate the wave of Eastern European IT-outsourcing firms that opened around and after 2000, giving it one of the longer track records on this list.
Services and capabilities: DataArt vs ScienceSoft
| Capability | DataArt | ScienceSoft |
|---|---|---|
| Custom software development | ✓ | ✓ |
| IT consulting | ✗ | ✗ |
| Cloud & DevOps | ✓ | ✗ |
| Staff aug / team extension | ✗ | ✗ |
| Fixed-price projects | ✓ | ✓ |
| Dedicated team model | ✓ | ✓ |
Tech stack comparison: DataArt vs ScienceSoft
| Framework / platform | DataArt | ScienceSoft |
|---|---|---|
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| React | ✓ | N/A |
| Node.js | N/A | N/A |
| Java | ✓ | ✓ |
Pricing comparison: DataArt vs ScienceSoft
| Criterion | DataArt | ScienceSoft |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Dedicated team, Fixed project, Consulting | Fixed project, Dedicated team, Consulting |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: DataArt vs ScienceSoft
| Dimension | DataArt | ScienceSoft |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Financial services, Media & entertainment, Healthcare | Healthcare, Financial services, Retail |
| Best use cases | 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. | A US buyer wanting a domestically headquartered vendor with a long, independently verifiable operating history., A healthcare or financial-services client looking for established third-party review credibility. |
| Typical project type | Dedicated team | Fixed project |
DataArt vs ScienceSoft: pros and cons
| 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 |
| ScienceSoft | |
|---|---|
| + | A US headquarters in Texas that dates to the company's founding, unlike a sales address added years afterward. |
| + | Nearly four decades of operating history, longer than most competitors on this list. |
| + | Named clients including IBM, Ford, and Walmart back its enterprise credibility. |
| + | Strong third-party review ratings, a 4.8 on Clutch, and repeated IAOP Global Outsourcing 100 recognition. |
| - | At roughly 750 professionals, its total capacity is smaller than most of the mid-size firms on this list |
| - | Marketing materials lean heavily on named client logos, worth verifying the specific scope of each relationship directly rather than assuming full-program ownership |
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.
Who should choose ScienceSoft?
A typical fit: a US buyer wanting a domestically headquartered vendor with a long, independently verifiable operating history.
A US headquarters and nearly four-decade operating history, older than most of its Eastern European competitors. Minimum engagement is not publicly disclosed. Works best with clients in Healthcare, Financial services, Retail.
Decision matrix: DataArt vs ScienceSoft
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | DataArt |
| You need a large dedicated team for an ongoing programme | DataArt |
| Your budget is at the lower end | Compare: DataArt (Not disclosed) vs ScienceSoft (Not disclosed) |
| You need specialist depth in a specific vertical | DataArt |
| 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: DataArt vs ScienceSoft
| Use case | DataArt fit | ScienceSoft fit | Winner |
|---|---|---|---|
| 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 |
| A US buyer wanting a domestically headquartered vendor with a long, independently verifiable operating history. | Strong | Strong | Both equally |
| A healthcare or financial-services client looking for established third-party review credibility. | Strong | Strong | Both equally |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: DataArt vs ScienceSoft
DataArt (4.0/5) is the stronger overall choice for most IT Outsourcing (USA) projects. A company that was founded in New York from day one, unlike a European or Indian firm that opened a US office years later.
ScienceSoft (3.8/5) is worth a look if you need a healthcare or financial-services client looking for established third-party review credibility. If your situation matches that, ScienceSoft is a competitive option.
Related comparisons
DataArt vs ScienceSoft FAQ
Is DataArt better than ScienceSoft?
DataArt (4.0/5) scores higher overall, but "better" depends on your use case. 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. ScienceSoft's strongest advantage: a US headquarters in Texas that dates to the company's founding, unlike a sales address added years afterward.
How do DataArt and ScienceSoft differ in pricing?
DataArt uses dedicated teams scoped by industry vertical pricing. ScienceSoft uses fixed-project and dedicated-team engagements pricing. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: DataArt or ScienceSoft?
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 DataArt and ScienceSoft?
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. ScienceSoft's primary differentiator is: a US headquarters and nearly four-decade operating history, older than most of its Eastern European competitors. They also differ in team size (5,700+ vs 750+), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Financial services, Media & entertainment vs Healthcare, Financial services).
Verify all details directly with each company before making a decision.