N-iX vs DataArt: full comparison for 2026
Quick verdict
N-iX (4.3/5) edges ahead of DataArt (4.0/5) overall. N-iX is the better choice for large dedicated teams, data and cloud engineering, Ukrainian rates. 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.
N-iX vs DataArt: head-to-head summary
| Criterion | N-iX | DataArt |
|---|---|---|
| Founded | 2002 | 1997 |
| HQ | Lviv, Ukraine (UK entity in London) | New York, United States (London office) |
| Team size | 2,000–2,500 | 5,000–6,000 |
| Rating | 4.3 / 5 | 4.0 / 5 |
| Primary differentiator | A 2,400-engineer pool that can staff large data and cloud teams quickly | Two decades of London presence and specialist travel-industry engineering |
| Pricing model | Dedicated team, time and materials | Time and materials, dedicated team |
| Min. engagement | Not published | Not published |
| Primary tech stack | Java, .NET, Python | Java, .NET, Python |
| Industries served | Financial services, Retail, Telecoms, Manufacturing, Healthcare | Travel and hospitality, Financial services, Healthcare, Media, Retail |
N-iX vs DataArt: overview
N-iX
N-iX started in Lviv in 2002 as Novellix, building applications for Novell's Linux platform, and Novell became its first large client. It now reports more than 2,400 engineers in Ukraine, Poland and other countries. In the UK it trades through N-iX Technologies Limited, registered in London in 2022, though public sources do not show a staffed UK delivery office. It suits buyers who want a large Central and Eastern European engineering pool and are comfortable managing it remotely.
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: N-iX vs DataArt
| Capability | N-iX | DataArt |
|---|---|---|
| Custom software development | ✓ | ✓ |
| Mobile app development | ✗ | ✗ |
| Cloud & DevOps | ✓ | ✓ |
| Data & AI | ✓ | ✓ |
| Legacy modernisation | ✗ | ✓ |
| Embedded & IoT | ✓ | ✗ |
| Dedicated team model | ✓ | ✓ |
| Fixed-price projects | ✗ | ✗ |
Tech stack comparison: N-iX vs DataArt
| Framework / platform | N-iX | DataArt |
|---|---|---|
| .NET | ✓ | ✓ |
| Java | ✓ | ✓ |
| Python | ✓ | ✓ |
| React | N/A | ✓ |
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Kubernetes | N/A | N/A |
| Embedded | N/A | N/A |
Pricing comparison: N-iX vs DataArt
| Criterion | N-iX | DataArt |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Dedicated team, Time and materials | Dedicated team, Time and materials |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: N-iX vs DataArt
| Dimension | N-iX | DataArt |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Financial services, Retail, Telecoms | Travel and hospitality, Financial services, Healthcare |
| Best use cases | A retailer needs a 20-person data engineering team on Databricks., A telecoms company wants a long-term dedicated team for platform development. | A travel company needs booking-engine and distribution work., A financial firm wants legacy trading software modernised. |
| Typical project type | Dedicated team | Dedicated team |
N-iX vs DataArt: pros and cons
| N-iX | |
|---|---|
| + | Large engineering pool makes it practical to grow from 5 to 50 people on one account |
| + | Data engineering and cloud migration are well covered |
| + | Some embedded and IoT capability for connected-product work |
| - | UK presence appears to be a legal entity rather than a staffed delivery office |
| - | Most engineering is in Ukraine, so continuity planning should be part of due diligence |
| 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 N-iX?
A typical fit: a retailer needs a 20-person data engineering team on Databricks.
A 2,400-engineer pool that can staff large data and cloud teams quickly. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Retail, Telecoms, Manufacturing, Healthcare.
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: N-iX 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 | N-iX |
| Your budget is at the lower end | Compare: N-iX (Not published) vs DataArt (Not published) |
| You need specialist depth in a specific vertical | N-iX |
| 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 | N-iX |
Use case fit: N-iX vs DataArt
| Use case | N-iX fit | DataArt fit | Winner |
|---|---|---|---|
| A retailer needs a 20-person data engineering team on Databricks. | Strong | Limited | N-iX |
| A telecoms company wants a long-term dedicated team for platform development. | Strong | Limited | N-iX |
| 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 | N-iX |
| You want a fixed-price first phase before a longer engagement | Limited | Limited | Both equally |
Verdict: N-iX vs DataArt
N-iX (4.3/5) is the stronger overall choice for most Software Development Outsourcing projects. A 2,400-engineer pool that can staff large data and cloud teams quickly.
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
N-iX vs DataArt FAQ
Is N-iX better than DataArt?
N-iX (4.3/5) scores higher overall, but "better" depends on your use case. N-iX's strongest advantage: large engineering pool makes it practical to grow from 5 to 50 people on one account. DataArt's strongest advantage: london office has been open since 2001.
How do N-iX and DataArt differ in pricing?
N-iX uses dedicated team, time and materials 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: N-iX 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 N-iX and DataArt?
N-iX's primary differentiator is: a 2,400-engineer pool that can staff large data and cloud teams quickly. DataArt's primary differentiator is: two decades of London presence and specialist travel-industry engineering. They also differ in team size (2,000–2,500 vs 5,000–6,000), minimum engagement (Not published vs Not published), and primary industries served (Financial services, Retail vs Travel and hospitality, Financial services).
Verify all details directly with each company before making a decision.