STX Next vs EPAM Systems: full comparison for 2026
Quick verdict
STX Next (4.2/5) edges ahead of EPAM Systems (3.9/5) overall. STX Next is the better choice for python back ends and data products, Polish rates. EPAM Systems is the stronger option for FTSE-scale programmes, strict compliance, huge teams. The right choice depends on your project size, budget, and required tech stack.
STX Next vs EPAM Systems: head-to-head summary
| Criterion | STX Next | EPAM Systems |
|---|---|---|
| Founded | 2005 | 1993 |
| HQ | Poznań, Poland | Newtown, Pennsylvania, United States (London and Newcastle offices) |
| Team size | 500–600 | 50,000+ |
| Rating | 4.2 / 5 | 3.9 / 5 |
| Primary differentiator | Deep Python specialism across web back ends, data engineering and machine learning | The largest delivery capacity on this list, with mature compliance and security processes |
| Pricing model | Time and materials, dedicated team | Time and materials, managed service, fixed price |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, Django, FastAPI | Java, .NET, AWS |
| Industries served | Fintech, Healthcare, Media, Retail | Financial services, Retail, Healthcare, Media, Manufacturing |
STX Next vs EPAM Systems: overview
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.
EPAM Systems
EPAM Systems was founded in 1993 and is headquartered in Newtown, Pennsylvania. It reported more than 62,750 employees in Q1 2026. In the UK it has offices in London and Newcastle, but most delivery comes from Central and Eastern Europe, India and Latin America. Its size suits large regulated programmes better than small or mid-sized builds.
Services and capabilities: STX Next vs EPAM Systems
| Capability | STX Next | EPAM Systems |
|---|---|---|
| Custom software development | ✓ | ✓ |
| Mobile app development | ✗ | ✗ |
| Cloud & DevOps | ✓ | ✓ |
| Data & AI | ✓ | ✓ |
| Legacy modernisation | ✗ | ✓ |
| Embedded & IoT | ✗ | ✗ |
| Dedicated team model | ✓ | ✓ |
| Fixed-price projects | ✗ | ✓ |
Tech stack comparison: STX Next vs EPAM Systems
| Framework / platform | STX Next | EPAM Systems |
|---|---|---|
| .NET | N/A | ✓ |
| Java | N/A | ✓ |
| Python | ✓ | ✓ |
| React | ✓ | N/A |
| AWS | ✓ | ✓ |
| Azure | N/A | ✓ |
| Kubernetes | N/A | ✓ |
| Embedded | N/A | N/A |
Pricing comparison: STX Next vs EPAM Systems
| Criterion | STX Next | EPAM Systems |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Dedicated team, Team extension, Time and materials | Dedicated team, Managed service, Fixed project, Time and materials |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: STX Next vs EPAM Systems
| Dimension | STX Next | EPAM Systems |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Fintech, Healthcare, Media | Financial services, Retail, Healthcare |
| Best use cases | A fintech needs a Django back end rebuilt and scaled., A media company wants data ingestion jobs and recommendation models written in Python. | A bank needs a 200-person platform programme., A global retailer wants a managed engineering service. |
| Typical project type | Dedicated team | Dedicated team |
STX Next vs EPAM Systems: pros and cons
| 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 |
| EPAM Systems | |
|---|---|
| + | Can staff hundreds of engineers on one programme |
| + | Mature security, audit and compliance processes for regulated buyers |
| + | Public-company reporting |
| - | Little benefit for mid-market buyers, who can get more attention elsewhere |
| - | UK offices are small relative to global delivery |
| - | Account processes are heavy for smaller projects |
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.
Who should choose EPAM Systems?
A typical fit: a bank needs a 200-person platform programme.
The largest delivery capacity on this list, with mature compliance and security processes. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Retail, Healthcare, Media, Manufacturing.
Decision matrix: STX Next vs EPAM Systems
| 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 | STX Next |
| Your budget is at the lower end | Compare: STX Next (Not published) vs EPAM Systems (Not published) |
| You need specialist depth in a specific vertical | EPAM Systems |
| You want engineers added to your own in-house team | STX Next |
| Your product includes hardware, firmware or connected devices | Neither; consider an embedded specialist |
Use case fit: STX Next vs EPAM Systems
| Use case | STX Next fit | EPAM Systems fit | Winner |
|---|---|---|---|
| A fintech needs a Django back end rebuilt and scaled. | Strong | Limited | STX Next |
| A media company wants data ingestion jobs and recommendation models written in Python. | Strong | Limited | STX Next |
| A bank needs a 200-person platform programme. | Limited | Strong | EPAM Systems |
| A global retailer wants a managed engineering service. | Limited | Strong | EPAM Systems |
| You need hardware, firmware or IoT work in the same contract | Limited | Limited | Both equally |
| You want a fixed-price first phase before a longer engagement | Limited | Strong | EPAM Systems |
Verdict: STX Next vs EPAM Systems
STX Next (4.2/5) is the stronger overall choice for most Software Development Outsourcing projects. Deep Python specialism across web back ends, data engineering and machine learning.
EPAM Systems (3.9/5) is worth a look in a scenario like this: a global retailer wants a managed engineering service. If your situation matches that, EPAM Systems is a competitive option.
Related comparisons
STX Next vs EPAM Systems FAQ
Is STX Next better than EPAM Systems?
STX Next (4.2/5) scores higher overall, but "better" depends on your use case. STX Next's strongest advantage: python depth is hard to match among mid-sized European vendors. EPAM Systems's strongest advantage: can staff hundreds of engineers on one programme.
How do STX Next and EPAM Systems differ in pricing?
STX Next uses time and materials, dedicated team pricing. EPAM Systems uses time and materials, managed service, fixed price pricing. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: STX Next or EPAM Systems?
STX Next 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 STX Next and EPAM Systems?
STX Next's primary differentiator is: deep Python specialism across web back ends, data engineering and machine learning. EPAM Systems's primary differentiator is: the largest delivery capacity on this list, with mature compliance and security processes. They also differ in team size (500–600 vs 50,000+), minimum engagement (Not published vs Not published), and primary industries served (Fintech, Healthcare vs Financial services, Retail).
Verify all details directly with each company before making a decision.