DataArt vs Perficient: full comparison for 2026
Quick verdict
DataArt (4.0/5) edges ahead of Perficient (4.0/5) overall. DataArt is the better choice for US buyers in finance, media, or healthcare wanting industry-specific delivery depth. Perficient is the stronger option for US enterprises specifically wanting a fully domestic delivery team over any offshore model. The right choice depends on your project size, budget, and required tech stack.
DataArt vs Perficient: head-to-head summary
| Criterion | DataArt | Perficient |
|---|---|---|
| Founded | 1997 | 1997 |
| HQ | New York, New York, USA | St. Louis, Missouri, USA |
| Team size | 5,700+ | ~7,000 |
| Rating | 4.0 / 5 | 4.0 / 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 | The one company on this list where the engineers themselves, rather than just the corporate address, are based onshore in the US |
| Pricing model | Dedicated teams scoped by industry vertical | Consulting and dedicated-team engagements at onshore US rates |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | AWS, Azure, Java | AWS, Azure, Salesforce |
| Industries served | Financial services, Media & entertainment, Healthcare, Travel | Healthcare, Financial services, Manufacturing, Retail |
DataArt vs Perficient: 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.
Perficient
Perficient was founded in 1997 and is headquartered in St. Louis, Missouri, with a workforce of roughly 7,000 employees delivering primarily from US-based teams rather than an offshore or nearshore model. It traded publicly on NASDAQ under PRFT from 1999 until October 2024, when it was acquired by an affiliate of EQT's BPEA Private Equity Fund VIII for roughly $3 billion, taking the company private, a real ownership change worth knowing before signing. For a buyer on this list specifically comparing outsourcing against a fully domestic alternative, Perficient is the clearest onshore reference point, at the cost premium that model typically carries.
Services and capabilities: DataArt vs Perficient
| Capability | DataArt | Perficient |
|---|---|---|
| Custom software development | ✓ | ✓ |
| IT consulting | ✗ | ✓ |
| Cloud & DevOps | ✓ | ✓ |
| Staff aug / team extension | ✗ | ✗ |
| Fixed-price projects | ✓ | ✓ |
| Dedicated team model | ✓ | ✓ |
Tech stack comparison: DataArt vs Perficient
| Framework / platform | DataArt | Perficient |
|---|---|---|
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| React | ✓ | N/A |
| Node.js | N/A | N/A |
| Java | ✓ | N/A |
Pricing comparison: DataArt vs Perficient
| Criterion | DataArt | Perficient |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Dedicated team, Fixed project, Consulting | Consulting, Dedicated team, Fixed project |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: DataArt vs Perficient
| Dimension | DataArt | Perficient |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Financial services, Media & entertainment, Healthcare | Healthcare, Financial services, Manufacturing |
| 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 enterprise that has decided timezone alignment and domestic delivery matter more than offshore cost savings., A regulated buyer wanting the fewest possible cross-border data or contracting complications. |
| Typical project type | Dedicated team | Consulting |
DataArt vs Perficient: 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 |
| Perficient | |
|---|---|
| + | Genuinely US-onshore delivery, a meaningfully different model from every offshore or nearshore vendor on this list. |
| + | Nearly thirty years of operating history and a long public-market track record before going private. |
| + | Deep US enterprise consulting relationships across healthcare, financial services, and manufacturing. |
| + | No timezone gap to manage at all for a US client working with a US-based team. |
| - | Onshore US delivery carries a real cost premium over offshore or nearshore alternatives on this list, which a budget-conscious buyer needs to weigh |
| - | Went private after the 2024 EQT acquisition, so the public financial transparency it once offered on NASDAQ no longer applies |
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 Perficient?
A typical fit: a US enterprise that has decided timezone alignment and domestic delivery matter more than offshore cost savings.
The one company on this list where the engineers themselves, rather than just the corporate address, are based onshore in the US. Minimum engagement is not publicly disclosed. Works best with clients in Healthcare, Financial services, Manufacturing, Retail.
Decision matrix: DataArt vs Perficient
| 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 Perficient (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 | Perficient |
Use case fit: DataArt vs Perficient
| Use case | DataArt fit | Perficient 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 enterprise that has decided timezone alignment and domestic delivery matter more than offshore cost savings. | Strong | Strong | Both equally |
| A regulated buyer wanting the fewest possible cross-border data or contracting complications. | Strong | Strong | Both equally |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: DataArt vs Perficient
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.
Perficient (4.0/5) is worth a look if you need a regulated buyer wanting the fewest possible cross-border data or contracting complications. If your situation matches that, Perficient is a competitive option.
Related comparisons
DataArt vs Perficient FAQ
Is DataArt better than Perficient?
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. Perficient's strongest advantage: genuinely US-onshore delivery, a meaningfully different model from every offshore or nearshore vendor on this list.
How do DataArt and Perficient differ in pricing?
DataArt uses dedicated teams scoped by industry vertical pricing. Perficient uses consulting and dedicated-team engagements at onshore us rates pricing. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: DataArt or Perficient?
Perficient 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 Perficient?
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. Perficient's primary differentiator is: the one company on this list where the engineers themselves, rather than just the corporate address, are based onshore in the US. They also differ in team size (5,700+ vs ~7,000), 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.