Data Reply vs Endava: full comparison for 2026
Quick verdict
Data Reply (3.7/5) edges ahead of Endava (3.3/5) overall. Data Reply is the better choice for buyers wanting a specialized data-AI advisory division backed by a large publicly traded parent. Endava is the stronger option for enterprises wanting a publicly traded UK-headquartered technology consultancy for AI advisory. The right choice depends on your project size, budget, and required tech stack.
Data Reply vs Endava: head-to-head summary
| Criterion | Data Reply | Endava |
|---|---|---|
| Founded | 1996 | 2000 |
| HQ | London, UK (Reply Group, Turin, Italy) | London, UK |
| Team size | 11-58 | 11225 |
| Rating | 3.7 / 5 | 3.3 / 5 |
| Best for | Buyers wanting a specialized data-AI advisory division backed by a large publicly traded parent | Enterprises wanting a publicly traded UK-headquartered technology consultancy for AI advisory |
| Pricing model | Retainer, fixed project | Retainer, dedicated team, T&M |
| Min. engagement | $25K | $100K |
| Primary tech stack | Azure, AWS, Python | AWS, Azure, Kubernetes |
| Industries served | Fintech, Retail, Manufacturing | Fintech, Retail, Telecom |
Data Reply vs Endava: overview
Data Reply
Data Reply is a specialized division of Reply, the Italian IT consulting and system integration company founded in 1996 and headquartered in Turin, Italy, with Reply overall employing over 17,000 people as a publicly traded company. Data Reply's UK and Germany divisions (roughly 11-58 employees each) focus on analytics, big data engineering, data science, and AI implementation advisory.
Endava
Endava was founded in 2000 by John Cotterell in London and is headquartered there, with 11,225 total employees. The company is a publicly traded (NYSE: DAVA) technology services firm offering strategy consulting, data insights, systems architecture, automation, software engineering, cloud computing, and AI technology consulting.
Services and capabilities: Data Reply vs Endava
| Capability | Data Reply | Endava |
|---|---|---|
| Enterprise automation | ✓ | ✓ |
| Agent orchestration | ✗ | ✗ |
| RAG & knowledge agents | ✗ | ✗ |
| Data & analytics agents | ✓ | ✗ |
| LLM integration | ✗ | ✗ |
| Workflow integration | ✓ | ✓ |
Tech stack comparison: Data Reply vs Endava
| Framework / platform | Data Reply | Endava |
|---|---|---|
| LangChain | N/A | N/A |
| LangGraph | N/A | N/A |
| AutoGen | N/A | N/A |
| LlamaIndex | N/A | N/A |
| OpenAI | N/A | N/A |
| Anthropic Claude | N/A | N/A |
| Pinecone | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Kubernetes | N/A | ✓ |
Pricing comparison: Data Reply vs Endava
| Criterion | Data Reply | Endava |
|---|---|---|
| Minimum engagement | $25K | $100K |
| Engagement models | Retainer, Fixed project, Staff augmentation | Retainer, Dedicated team, T&M |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: Data Reply vs Endava
| Dimension | Data Reply | Endava |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Fintech, Retail, Manufacturing | Fintech, Retail, Telecom |
| Best use cases | Data-and-AI advisory for EU enterprises, Big data engineering for agent systems | Enterprise AI technology consulting, Large-scale systems architecture advisory |
| Typical project type | Retainer | Retainer |
Data Reply vs Endava: pros and cons
| Data Reply | |
|---|---|
| + | Backed by Reply, a publicly traded 17,000+ person IT consulting group, for financial stability |
| + | Specialized data-and-AI division stays focused rather than being a generalist practice |
| + | European delivery footprint (UK, Germany) suits EU data-residency needs |
| - | Individual division team size (11-58) is small relative to the parent group, limiting standalone capacity |
| - | Reporting structure inside a larger group can add coordination layers for cross-border engagements |
| Endava | |
|---|---|
| + | Publicly traded (NYSE: DAVA) with audited financial transparency |
| + | 25+ years of technology consulting history spanning strategy through delivery |
| + | UK headquarters simplifies engagement for European enterprise buyers |
| - | Large-firm structure means less boutique-style senior-partner attention on smaller engagements |
| - | High minimum engagement puts it out of reach for smaller buyers |
Who should choose Data Reply?
Data Reply is the right choice for buyers wanting a specialized data-AI advisory division backed by a large publicly traded parent.
Backed by publicly traded Reply group (17,000+ employees) while operating as a focused, smaller specialist division. Minimum engagement starts at $25K. Works best with clients in Fintech, Retail, Manufacturing.
Who should choose Endava?
Endava is the right choice for enterprises wanting a publicly traded UK-headquartered technology consultancy for AI advisory.
Publicly traded (NYSE: DAVA) with a UK headquarters, useful for EU/UK-anchored enterprise buyers. Minimum engagement starts at $100K. Works best with clients in Fintech, Retail, Telecom.
Decision matrix: Data Reply vs Endava
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Data Reply |
| You need a large dedicated team for an ongoing programme | Endava |
| Your budget is at the lower end | Data Reply |
| You need specialist depth in a specific vertical | Data Reply |
| 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: Data Reply vs Endava
| Use case | Data Reply fit | Endava fit | Winner |
|---|---|---|---|
| Data-and-AI advisory for EU enterprises | Strong | Limited | Data Reply |
| Big data engineering for agent systems | Strong | Limited | Data Reply |
| Enterprise AI technology consulting | Strong | Strong | Both equally |
| Large-scale systems architecture advisory | Limited | Strong | Endava |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Data Reply vs Endava
Data Reply (3.7/5) is the stronger overall choice for most AI Agent projects. Backed by publicly traded Reply group (17,000+ employees) while operating as a focused, smaller specialist division. It is best for buyers wanting a specialized data-AI advisory division backed by a large publicly traded parent.
Endava (3.3/5) is the better choice when enterprises wanting a publicly traded UK-headquartered technology consultancy for AI advisory. If your situation matches those criteria, Endava is a competitive option.
Related comparisons
Data Reply vs Endava FAQ
Is Data Reply better than Endava?
Data Reply (3.7/5) scores higher overall, but "better" depends on your use case. Data Reply is better for buyers wanting a specialized data-AI advisory division backed by a large publicly traded parent. Endava is better for enterprises wanting a publicly traded UK-headquartered technology consultancy for AI advisory.
How do Data Reply and Endava differ in pricing?
Data Reply uses retainer, fixed project pricing with a minimum engagement of $25K. Endava uses retainer, dedicated team, t&m pricing with a minimum engagement of $100K. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Data Reply or Endava?
Endava is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each consultancy before shortlisting.
What are the main differences between Data Reply and Endava?
Data Reply's primary differentiator is: backed by publicly traded reply group (17,000+ employees) while operating as a focused, smaller specialist division. Endava's primary differentiator is: publicly traded (nyse: dava) with a uk headquarters, useful for eu/uk-anchored enterprise buyers. They also differ in team size (11-58 vs 11225), minimum engagement ($25K vs $100K), and primary industries served (Fintech, Retail vs Fintech, Retail).