STX Next vs Thoughtworks: full comparison for 2026
Quick verdict
STX Next (4.2/5) edges ahead of Thoughtworks (3.9/5) overall. STX Next is the better choice for python back ends and data products, Polish rates. Thoughtworks is the stronger option for complex modernisation, engineering culture change. The right choice depends on your project size, budget, and required tech stack.
STX Next vs Thoughtworks: head-to-head summary
| Criterion | STX Next | Thoughtworks |
|---|---|---|
| Founded | 2005 | 1993 |
| HQ | Poznań, Poland | Chicago, United States (UK offices) |
| Team size | 500–600 | 10,000+ |
| Rating | 4.2 / 5 | 3.9 / 5 |
| Primary differentiator | Deep Python specialism across web back ends, data engineering and machine learning | Thought leadership in software practice, backed by a large global delivery network |
| Pricing model | Time and materials, dedicated team | Time and materials |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, Django, FastAPI | Java, Kotlin, TypeScript |
| Industries served | Fintech, Healthcare, Media, Retail | Financial services, Retail, Public sector, Healthcare, Media |
STX Next vs Thoughtworks: 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.
Thoughtworks
Thoughtworks was founded in Chicago in 1993 and has had a significant UK presence for decades. Apax Partners took it private in a deal valued at about $1.75bn that closed in late 2024, after a NASDAQ listing in 2021, and the transaction came with job cuts affecting about 6–7% of its 10,500 staff. It is known for its Technology Radar and for shaping agile and continuous-delivery practice. It has delivery centres in India, China, Brazil and elsewhere, but UK engagements usually lean on senior onshore consultants.
Services and capabilities: STX Next vs Thoughtworks
| Capability | STX Next | Thoughtworks |
|---|---|---|
| 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 Thoughtworks
| Framework / platform | STX Next | Thoughtworks |
|---|---|---|
| .NET | N/A | N/A |
| Java | N/A | ✓ |
| Python | ✓ | N/A |
| React | ✓ | N/A |
| AWS | ✓ | ✓ |
| Azure | N/A | ✓ |
| Kubernetes | N/A | ✓ |
| Embedded | N/A | N/A |
Pricing comparison: STX Next vs Thoughtworks
| Criterion | STX Next | Thoughtworks |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Dedicated team, Team extension, Time and materials | Time and materials, Team extension |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: STX Next vs Thoughtworks
| Dimension | STX Next | Thoughtworks |
|---|---|---|
| Best company size | Startup to mid-market | Enterprise |
| Best industries | Fintech, Healthcare, Media | Financial services, Retail, Public sector |
| 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 wants to break up a core monolith., A retailer needs to rebuild its platform and change how teams work. |
| Typical project type | Dedicated team | Time and materials |
STX Next vs Thoughtworks: 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 |
| Thoughtworks | |
|---|---|
| + | Very strong senior consultants and engineering practices |
| + | Global delivery network for blended teams |
| + | Well suited to modernisation programmes that need cultural change |
| - | Taken private by Apax in 2024 alongside a restructuring that cut 6–7% of staff |
| - | Premium pricing, especially with senior UK consultants |
| - | Overkill for straightforward builds |
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 Thoughtworks?
A typical fit: a bank wants to break up a core monolith.
Thought leadership in software practice, backed by a large global delivery network. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Retail, Public sector, Healthcare, Media.
Decision matrix: STX Next vs Thoughtworks
| 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 Thoughtworks (Not published) |
| You need specialist depth in a specific vertical | Thoughtworks |
| 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 Thoughtworks
| Use case | STX Next fit | Thoughtworks 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 wants to break up a core monolith. | Limited | Strong | Thoughtworks |
| A retailer needs to rebuild its platform and change how teams work. | Limited | Strong | Thoughtworks |
| 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 | Limited | Both equally |
Verdict: STX Next vs Thoughtworks
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.
Thoughtworks (3.9/5) is worth a look in a scenario like this: a retailer needs to rebuild its platform and change how teams work. If your situation matches that, Thoughtworks is a competitive option.
Related comparisons
STX Next vs Thoughtworks FAQ
Is STX Next better than Thoughtworks?
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. Thoughtworks's strongest advantage: very strong senior consultants and engineering practices.
How do STX Next and Thoughtworks differ in pricing?
STX Next uses time and materials, dedicated team pricing. Thoughtworks uses time and materials 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 Thoughtworks?
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 Thoughtworks?
STX Next's primary differentiator is: deep Python specialism across web back ends, data engineering and machine learning. Thoughtworks's primary differentiator is: thought leadership in software practice, backed by a large global delivery network. 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 Financial services, Retail).
Verify all details directly with each company before making a decision.