Endava vs Django Stars: full comparison for 2026
Quick verdict
Endava (4.1/5) edges ahead of Django Stars (3.7/5) overall. Endava is the better choice for payments and financial-services enterprises wanting mid-tier CEE delivery scale. Django Stars is the stronger option for a buyer standardized on Python who wants that as a genuine specialty. The right choice depends on your project size, budget, and required tech stack.
Endava vs Django Stars: head-to-head summary
| Criterion | Endava | Django Stars |
|---|---|---|
| Founded | 2000 | 2008 |
| HQ | London, United Kingdom | Kyiv, Ukraine |
| Team size | 11,300+ | 150–300 (per company website; independently unverifiable precise figure) |
| Rating | 4.1 / 5 | 3.7 / 5 |
| Primary differentiator | A publicly listed, CEE-anchored delivery model at a scale between the mega-giants and boutique firms | One of the only companies on this list literally named after its founding technology stack |
| Pricing model | Dedicated-team and consulting engagements | Dedicated-team and fixed-project engagements |
| Min. engagement | Not published | Not published |
| Primary tech stack | Java, .NET, AWS | Python, Django, React |
| Industries served | Payments, Banking, Insurance, Retail | Fintech, Healthcare, Logistics |
Endava vs Django Stars: overview
Endava
Endava was founded in 2000 and is headquartered in London, with roughly 11,300 employees delivering outsourced software development and IT consulting primarily through Central and Eastern European delivery centers. Listed on the New York Stock Exchange, it occupies a mid-tier scale below the true mega-giants but well above most boutique firms, with named practices in payments, banking, and insurance technology. Its CEE-anchored delivery model puts it in similar territory to EPAM, though at roughly a fifth of EPAM's global headcount.
Django Stars
Django Stars started in Kyiv in 2008 built specifically around Python and the Django framework, an unusually literal company name for a niche that most of the giants on this list would fold into a generic 'full-stack development' service line instead. It has since broadened into fintech and healthtech product work without losing the Python-heavy backend culture that gave it its name, staying at a boutique scale, 150-300 people, that a mega-giant would consider a rounding error. That specific framework specialization is real value for a buyer building a Python-heavy product; it's simply invisible to a buyer standardized on a different stack.
Services and capabilities: Endava vs Django Stars
| Capability | Endava | Django Stars |
|---|---|---|
| Enterprise modernization | ✗ | ✗ |
| Cloud & DevOps | ✓ | ✗ |
| AI/ML development | ✗ | ✗ |
| Custom software development | ✓ | ✓ |
| Staff augmentation | ✗ | ✗ |
| Dedicated team model | ✓ | ✓ |
Tech stack comparison: Endava vs Django Stars
| Framework / platform | Endava | Django Stars |
|---|---|---|
| AWS | ✓ | ✓ |
| Azure | N/A | N/A |
| SAP | N/A | N/A |
| Java | ✓ | N/A |
| React | N/A | ✓ |
Pricing comparison: Endava vs Django Stars
| Criterion | Endava | Django Stars |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Dedicated team, Consulting, Fixed project | Dedicated team, Fixed project |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Endava vs Django Stars
| Dimension | Endava | Django Stars |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Payments, Banking, Insurance | Fintech, Healthcare, Logistics |
| Best use cases | A payments or banking enterprise wanting a publicly listed, CEE-delivered vendor., A buyer wanting mid-tier scale without mega-giant account layers. | A fintech or healthtech startup building a Python or Django-based product from scratch., A buyer specifically wanting deep framework-level expertise over generalist breadth. |
| Typical project type | Dedicated team | Dedicated team |
Endava vs Django Stars: pros and cons
| Endava | |
|---|---|
| + | Publicly listed on the NYSE, giving financial transparency at a mid-tier scale. |
| + | Named payments, banking, and insurance technology practices. |
| + | Central and Eastern European delivery model with more than two decades of history. |
| - | Much smaller global delivery capacity than the true mega-giants for the largest programs |
| - | Less geographic diversity than firms with delivery centers across multiple continents |
| Django Stars | |
|---|---|
| + | Strong Python and Django engineering culture traceable to the company's own founding specialization. |
| + | Named fintech and healthtech product experience beyond generic full-stack claims. |
| + | Kyiv-founded and still headquartered there. |
| - | Python specialization is invisible value to a buyer standardized on a different backend stack |
| - | A team size a mega-giant would consider a rounding error, unsuited to very large programs |
Who should choose Endava?
A typical fit: a payments or banking enterprise wanting a publicly listed, CEE-delivered vendor.
A publicly listed, CEE-anchored delivery model at a scale between the mega-giants and boutique firms. Minimum engagement is not publicly disclosed. Works best with clients in Payments, Banking, Insurance, Retail.
Who should choose Django Stars?
A typical fit: a fintech or healthtech startup building a Python or Django-based product from scratch.
One of the only companies on this list literally named after its founding technology stack. Minimum engagement is not publicly disclosed. Works best with clients in Fintech, Healthcare, Logistics.
Decision matrix: Endava vs Django Stars
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Endava |
| You need a large dedicated team for an ongoing programme | Endava |
| Your budget is at the lower end | Compare: Endava (Not published) vs Django Stars (Not published) |
| You need specialist depth in a specific vertical | Endava |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | Both may offer discovery engagements |
Use case fit: Endava vs Django Stars
| Use case | Endava fit | Django Stars fit | Winner |
|---|---|---|---|
| A payments or banking enterprise wanting a publicly listed, CEE-delivered vendor. | Strong | Strong | Both equally |
| A buyer wanting mid-tier scale without mega-giant account layers. | Strong | Strong | Both equally |
| A fintech or healthtech startup building a Python or Django-based product from scratch. | Strong | Strong | Both equally |
| A buyer specifically wanting deep framework-level expertise over generalist breadth. | Strong | Strong | Both equally |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Endava vs Django Stars
Endava (4.1/5) is the stronger overall choice for most IT Outsourcing projects. A publicly listed, CEE-anchored delivery model at a scale between the mega-giants and boutique firms.
Django Stars (3.7/5) is worth a look if you need a buyer specifically wanting deep framework-level expertise over generalist breadth. If your situation matches that, Django Stars is a competitive option.
Related comparisons
Endava vs Django Stars FAQ
Is Endava better than Django Stars?
Endava (4.1/5) scores higher overall, but "better" depends on your use case. Endava's strongest advantage: publicly listed on the NYSE, giving financial transparency at a mid-tier scale. Django Stars's strongest advantage: strong Python and Django engineering culture traceable to the company's own founding specialization.
How do Endava and Django Stars differ in pricing?
Endava uses dedicated-team and consulting engagements pricing. Django Stars uses dedicated-team and fixed-project engagements pricing. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Endava or Django Stars?
Django Stars 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 Endava and Django Stars?
Endava's primary differentiator is: a publicly listed, CEE-anchored delivery model at a scale between the mega-giants and boutique firms. Django Stars's primary differentiator is: one of the only companies on this list literally named after its founding technology stack. They also differ in team size (11,300+ vs 150–300 (per company website; independently unverifiable precise figure)), minimum engagement (Not published vs Not published), and primary industries served (Payments, Banking vs Fintech, Healthcare).
Verify all details directly with each company before making a decision.