SoftServe vs Version 1: full comparison for 2026
Quick verdict
SoftServe (4.0/5) edges ahead of Version 1 (3.9/5) overall. SoftServe is the better choice for big cloud and data programmes, Ukrainian rates at volume. Version 1 is the stronger option for oracle and Microsoft estates, public-sector managed services. The right choice depends on your project size, budget, and required tech stack.
SoftServe vs Version 1: head-to-head summary
| Criterion | SoftServe | Version 1 |
|---|---|---|
| Founded | 1993 | 1996 |
| HQ | Austin, United States and Lviv, Ukraine (London offices) | Dublin, Ireland (UK offices including Birmingham) |
| Team size | 10,000+ | 3,000+ |
| Rating | 4.0 / 5 | 3.9 / 5 |
| Primary differentiator | Scale and cloud partner status combined with Eastern European rates | Managed services for Oracle, Microsoft and AWS estates with Indian and Spanish delivery |
| Pricing model | Dedicated team, time and materials, managed service | Managed service, time and materials, fixed price |
| Min. engagement | Not published | Not published |
| Primary tech stack | AWS, Google Cloud, Azure | Oracle, Microsoft Azure, AWS |
| Industries served | Healthcare, Retail, Financial services, Manufacturing, Media | Public sector, Financial services, Healthcare, Utilities |
SoftServe vs Version 1: overview
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.
Version 1
Version 1 was founded in Dublin in 1996 and has been majority-owned by Swiss investor Partners Group since July 2022, in a deal reported at around €800m. It had more than 3,200 staff by 2023 and opened a Birmingham hub with 500 planned jobs, plus UK acquisitions such as Automation Logic. Much of its UK work is Oracle, Microsoft and AWS managed services for public-sector bodies. Delivery comes from Ireland, the UK, Spain and India.
Services and capabilities: SoftServe vs Version 1
| Capability | SoftServe | Version 1 |
|---|---|---|
| Custom software development | ✓ | ✓ |
| Mobile app development | ✗ | ✗ |
| Cloud & DevOps | ✓ | ✓ |
| Data & AI | ✓ | ✓ |
| Legacy modernisation | ✗ | ✓ |
| Embedded & IoT | ✓ | ✗ |
| Dedicated team model | ✓ | ✗ |
| Fixed-price projects | ✗ | ✓ |
Tech stack comparison: SoftServe vs Version 1
| Framework / platform | SoftServe | Version 1 |
|---|---|---|
| .NET | ✓ | ✓ |
| Java | ✓ | ✓ |
| Python | ✓ | N/A |
| React | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Kubernetes | ✓ | N/A |
| Embedded | N/A | N/A |
Pricing comparison: SoftServe vs Version 1
| Criterion | SoftServe | Version 1 |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Dedicated team, Managed service, Time and materials | Managed service, Fixed project, Time and materials |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: SoftServe vs Version 1
| Dimension | SoftServe | Version 1 |
|---|---|---|
| Best company size | Enterprise | Startup to mid-market |
| Best industries | Healthcare, Retail, Financial services | Public sector, Financial services, Healthcare |
| Best use cases | A retailer needs a large cloud migration team., A healthcare firm wants a data platform with machine learning features. | A public body needs Oracle E-Business Suite support and migration., A utility wants Azure managed services. |
| Typical project type | Dedicated team | Managed service |
SoftServe vs Version 1: pros and cons
| 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 |
| Version 1 | |
|---|---|
| + | Strong in Oracle and Microsoft environments common in UK public bodies |
| + | Indian and Spanish delivery lower costs on managed services |
| + | Private-equity backing has funded UK expansion |
| - | Majority-owned by Partners Group since 2022, so an eventual sale or exit is likely |
| - | Product-style bespoke development is less central than managed services |
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.
Who should choose Version 1?
A typical fit: a public body needs Oracle E-Business Suite support and migration.
Managed services for Oracle, Microsoft and AWS estates with Indian and Spanish delivery. Minimum engagement is not publicly disclosed. Works best with clients in Public sector, Financial services, Healthcare, Utilities.
Decision matrix: SoftServe vs Version 1
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Version 1 |
| You need a large dedicated team for an ongoing programme | SoftServe |
| Your budget is at the lower end | Compare: SoftServe (Not published) vs Version 1 (Not published) |
| You need specialist depth in a specific vertical | SoftServe |
| 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 | SoftServe |
Use case fit: SoftServe vs Version 1
| Use case | SoftServe fit | Version 1 fit | Winner |
|---|---|---|---|
| A retailer needs a large cloud migration team. | Strong | Limited | SoftServe |
| A healthcare firm wants a data platform with machine learning features. | Strong | Limited | SoftServe |
| A public body needs Oracle E-Business Suite support and migration. | Limited | Strong | Version 1 |
| A utility wants Azure managed services. | Limited | Strong | Version 1 |
| You need hardware, firmware or IoT work in the same contract | Strong | Limited | SoftServe |
| You want a fixed-price first phase before a longer engagement | Limited | Strong | Version 1 |
Verdict: SoftServe vs Version 1
SoftServe (4.0/5) is the stronger overall choice for most Software Development Outsourcing projects. Scale and cloud partner status combined with Eastern European rates.
Version 1 (3.9/5) is worth a look in a scenario like this: a utility wants Azure managed services. If your situation matches that, Version 1 is a competitive option.
Related comparisons
SoftServe vs Version 1 FAQ
Is SoftServe better than Version 1?
SoftServe (4.0/5) scores higher overall, but "better" depends on your use case. SoftServe's strongest advantage: very large talent pool for fast ramp-up. Version 1's strongest advantage: strong in Oracle and Microsoft environments common in UK public bodies.
How do SoftServe and Version 1 differ in pricing?
SoftServe uses dedicated team, time and materials, managed service pricing. Version 1 uses managed service, time and materials, fixed price pricing. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: SoftServe or Version 1?
SoftServe 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 SoftServe and Version 1?
SoftServe's primary differentiator is: scale and cloud partner status combined with Eastern European rates. Version 1's primary differentiator is: managed services for Oracle, Microsoft and AWS estates with Indian and Spanish delivery. They also differ in team size (10,000+ vs 3,000+), minimum engagement (Not published vs Not published), and primary industries served (Healthcare, Retail vs Public sector, Financial services).
Verify all details directly with each company before making a decision.