N-iX vs STX Next: full comparison for 2026
Quick verdict
N-iX (4.3/5) edges ahead of STX Next (4.2/5) overall. N-iX is the better choice for large dedicated teams, data and cloud engineering, Ukrainian rates. STX Next is the stronger option for python back ends and data products, Polish rates. The right choice depends on your project size, budget, and required tech stack.
N-iX vs STX Next: head-to-head summary
| Criterion | N-iX | STX Next |
|---|---|---|
| Founded | 2002 | 2005 |
| HQ | Lviv, Ukraine (UK entity in London) | Poznań, Poland |
| Team size | 2,000–2,500 | 500–600 |
| Rating | 4.3 / 5 | 4.2 / 5 |
| Primary differentiator | A 2,400-engineer pool that can staff large data and cloud teams quickly | Deep Python specialism across web back ends, data engineering and machine learning |
| Pricing model | Dedicated team, time and materials | Time and materials, dedicated team |
| Min. engagement | Not published | Not published |
| Primary tech stack | Java, .NET, Python | Python, Django, FastAPI |
| Industries served | Financial services, Retail, Telecoms, Manufacturing, Healthcare | Fintech, Healthcare, Media, Retail |
N-iX vs STX Next: 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.
STX Next
STX Next was founded in Poznań in 2005 and built its name as one of Europe's largest Python-focused development companies. Its March 2025 anniversary release cited about 500 people and more than 1,000 projects delivered. A later combination with Gliwice's Brainhub added roughly 100 more engineers. Innova Capital has been an investor since 2020.
Services and capabilities: N-iX vs STX Next
| Capability | N-iX | STX Next |
|---|---|---|
| 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 STX Next
| Framework / platform | N-iX | STX Next |
|---|---|---|
| .NET | ✓ | N/A |
| Java | ✓ | N/A |
| Python | ✓ | ✓ |
| React | N/A | ✓ |
| AWS | ✓ | ✓ |
| Azure | ✓ | N/A |
| Kubernetes | N/A | N/A |
| Embedded | N/A | N/A |
Pricing comparison: N-iX vs STX Next
| Criterion | N-iX | STX Next |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Dedicated team, Time and materials | Dedicated team, Team extension, Time and materials |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: N-iX vs STX Next
| Dimension | N-iX | STX Next |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Financial services, Retail, Telecoms | Fintech, Healthcare, Media |
| 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 fintech needs a Django back end rebuilt and scaled., A media company wants data ingestion jobs and recommendation models written in Python. |
| Typical project type | Dedicated team | Dedicated team |
N-iX vs STX Next: 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 |
| STX Next | |
|---|---|
| + | Python depth is hard to match among mid-sized European vendors |
| + | Combined STX Next and Brainhub team adds JavaScript and product capacity |
| + | Polish location gives near-total working-day overlap with the UK |
| - | No staffed UK office was found, so account management is run from Poland |
| - | The Brainhub merger is recent, and integration may take time |
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 STX Next?
A typical fit: a fintech needs a Django back end rebuilt and scaled.
Deep Python specialism across web back ends, data engineering and machine learning. Minimum engagement is not publicly disclosed. Works best with clients in Fintech, Healthcare, Media, Retail.
Decision matrix: N-iX vs STX Next
| 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 STX Next (Not published) |
| You need specialist depth in a specific vertical | N-iX |
| You want engineers added to your own in-house team | STX Next |
| Your product includes hardware, firmware or connected devices | N-iX |
Use case fit: N-iX vs STX Next
| Use case | N-iX fit | STX Next 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 fintech needs a Django back end rebuilt and scaled. | Limited | Strong | STX Next |
| A media company wants data ingestion jobs and recommendation models written in Python. | Limited | Strong | STX Next |
| 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 STX Next
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.
STX Next (4.2/5) is worth a look in a scenario like this: a media company wants data ingestion jobs and recommendation models written in Python. If your situation matches that, STX Next is a competitive option.
Related comparisons
N-iX vs STX Next FAQ
Is N-iX better than STX Next?
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. STX Next's strongest advantage: python depth is hard to match among mid-sized European vendors.
How do N-iX and STX Next differ in pricing?
N-iX uses dedicated team, time and materials pricing. STX Next 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 STX Next?
N-iX 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 STX Next?
N-iX's primary differentiator is: a 2,400-engineer pool that can staff large data and cloud teams quickly. STX Next's primary differentiator is: deep Python specialism across web back ends, data engineering and machine learning. They also differ in team size (2,000–2,500 vs 500–600), minimum engagement (Not published vs Not published), and primary industries served (Financial services, Retail vs Fintech, Healthcare).
Verify all details directly with each company before making a decision.