STX Next vs SoftServe: full comparison for 2026
Quick verdict
STX Next (4.2/5) edges ahead of SoftServe (4.0/5) overall. STX Next is the better choice for python back ends and data products, Polish rates. SoftServe is the stronger option for big cloud and data programmes, Ukrainian rates at volume. The right choice depends on your project size, budget, and required tech stack.
STX Next vs SoftServe: head-to-head summary
| Criterion | STX Next | SoftServe |
|---|---|---|
| Founded | 2005 | 1993 |
| HQ | Poznań, Poland | Austin, United States and Lviv, Ukraine (London offices) |
| Team size | 500–600 | 10,000+ |
| Rating | 4.2 / 5 | 4.0 / 5 |
| Primary differentiator | Deep Python specialism across web back ends, data engineering and machine learning | Scale and cloud partner status combined with Eastern European rates |
| Pricing model | Time and materials, dedicated team | Dedicated team, time and materials, managed service |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, Django, FastAPI | AWS, Google Cloud, Azure |
| Industries served | Fintech, Healthcare, Media, Retail | Healthcare, Retail, Financial services, Manufacturing, Media |
STX Next vs SoftServe: 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.
SoftServe
SoftServe was founded in Lviv in 1993 and is now co-headquartered in Austin, Texas. Revelio Labs estimated about 13,100 employees in 2025, down roughly 3% on the year. It opened its London office around 2014 as part of a Western European expansion and trades in the UK as SoftServe Systems Ltd. Most delivery happens in Ukraine, Poland, Bulgaria and Latin America.
Services and capabilities: STX Next vs SoftServe
| Capability | STX Next | SoftServe |
|---|---|---|
| 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 SoftServe
| Framework / platform | STX Next | SoftServe |
|---|---|---|
| .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 SoftServe
| Criterion | STX Next | SoftServe |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Dedicated team, Team extension, Time and materials | Dedicated team, Managed service, Time and materials |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: STX Next vs SoftServe
| Dimension | STX Next | SoftServe |
|---|---|---|
| Best company size | Startup to mid-market | Enterprise |
| Best industries | Fintech, Healthcare, Media | Healthcare, Retail, Financial services |
| 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 retailer needs a large cloud migration team., A healthcare firm wants a data platform with machine learning features. |
| Typical project type | Dedicated team | Dedicated team |
STX Next vs SoftServe: 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 |
| SoftServe | |
|---|---|
| + | Very large talent pool for fast ramp-up |
| + | Strong cloud and data engineering practices |
| + | Lower rates than UK-headquartered vendors of similar size |
| - | UK office is mostly a commercial presence; delivery is overseas |
| - | Smaller UK accounts may struggle to get senior attention |
| - | Headcount has edged down since 2024 |
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 SoftServe?
A typical fit: a retailer needs a large cloud migration team.
Scale and cloud partner status combined with Eastern European rates. Minimum engagement is not publicly disclosed. Works best with clients in Healthcare, Retail, Financial services, Manufacturing, Media.
Decision matrix: STX Next vs SoftServe
| 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 | STX Next |
| Your budget is at the lower end | Compare: STX Next (Not published) vs SoftServe (Not published) |
| You need specialist depth in a specific vertical | SoftServe |
| You want engineers added to your own in-house team | STX Next |
| Your product includes hardware, firmware or connected devices | SoftServe |
Use case fit: STX Next vs SoftServe
| Use case | STX Next fit | SoftServe 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 retailer needs a large cloud migration team. | Limited | Strong | SoftServe |
| A healthcare firm wants a data platform with machine learning features. | Limited | Strong | SoftServe |
| You need hardware, firmware or IoT work in the same contract | Limited | Strong | SoftServe |
| You want a fixed-price first phase before a longer engagement | Limited | Limited | Both equally |
Verdict: STX Next vs SoftServe
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.
SoftServe (4.0/5) is worth a look in a scenario like this: a healthcare firm wants a data platform with machine learning features. If your situation matches that, SoftServe is a competitive option.
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STX Next vs SoftServe FAQ
Is STX Next better than SoftServe?
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. SoftServe's strongest advantage: very large talent pool for fast ramp-up.
How do STX Next and SoftServe differ in pricing?
STX Next uses time and materials, dedicated team pricing. SoftServe uses dedicated team, time and materials, managed service 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 SoftServe?
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 SoftServe?
STX Next's primary differentiator is: deep Python specialism across web back ends, data engineering and machine learning. SoftServe's primary differentiator is: scale and cloud partner status combined with Eastern European rates. They also differ in team size (500–600 vs 10,000+), minimum engagement (Not published vs Not published), and primary industries served (Fintech, Healthcare vs Healthcare, Retail).
Verify all details directly with each company before making a decision.