DataArt vs Howdy.com: full comparison for 2026
Quick verdict
DataArt (4.0/5) edges ahead of Howdy.com (3.9/5) overall. DataArt is the better choice for finance and healthcare firms extending data and AI teams. Howdy.com is the stronger option for U.S. startups hiring full-time Latin American AI engineers. The right choice depends on your project size, budget, and required tech stack.
DataArt vs Howdy.com: head-to-head summary
| Criterion | DataArt | Howdy.com |
|---|---|---|
| Founded | 1997 | 2018 |
| HQ | New York, New York, USA | Austin, Texas, USA |
| Team size | 5,000+ | Not disclosed |
| Rating | 4.0 / 5 | 3.9 / 5 |
| Primary differentiator | Nearly three decades of domain work in finance, healthcare and travel | Full-time, single-client placements with employment handled by Howdy |
| Pricing model | Time and materials; dedicated teams; rates on request | Monthly all-in fee per engineer quoted per engagement; rates on request |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, Spark, Databricks | Python, OpenAI, LangChain |
| Industries served | Financial services, Healthcare & life sciences, Travel, Media | Software & SaaS, Financial services, Healthcare & life sciences |
DataArt vs Howdy.com: overview
DataArt
DataArt was founded in New York in 1997 by Eugene Goland, who still leads it. Reported headcount ranges from about 4,000 to more than 6,000 across 30 to 40 locations. The firm builds data, analytics and AI platforms and works heavily in finance, healthcare and travel. Clients can bring in DataArt engineers as part of their own team or contract a full delivery team.
Howdy.com
Howdy.com was founded in Austin, Texas, in 2018 to connect Latin American engineers with U.S. companies, and it acquired the Brazilian talent marketplace GeekHunter to expand its pool. Engineers work full time for one client while Howdy handles employment, benefits and equipment. The company now markets itself around AI-capable engineers, and pricing is quoted per engagement rather than published.
Services and capabilities: DataArt vs Howdy.com
| Capability | DataArt | Howdy.com |
|---|---|---|
| LLM / GenAI engineers | ✗ | ✓ |
| MLOps & deployment | ✗ | ✗ |
| Computer vision | ✗ | ✗ |
| Data engineering | ✓ | ✗ |
| AI agent development | ✗ | ✗ |
| Fractional / part-time experts | ✗ | ✗ |
| Risk-free trial period | ✗ | ✗ |
| Nearshore time-zone overlap | ✗ | ✓ |
Tech stack comparison: DataArt vs Howdy.com
| Framework / platform | DataArt | Howdy.com |
|---|---|---|
| PyTorch | N/A | N/A |
| TensorFlow | ✓ | N/A |
| LangChain | N/A | ✓ |
| Hugging Face | N/A | N/A |
| OpenAI | N/A | ✓ |
| AWS | ✓ | ✓ |
| Azure | ✓ | N/A |
| Databricks | ✓ | N/A |
| MLflow | N/A | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: DataArt vs Howdy.com
| Criterion | DataArt | Howdy.com |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Full-time dedicated engineers, Dedicated team, Managed delivery | Full-time dedicated engineers |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: DataArt vs Howdy.com
| Dimension | DataArt | Howdy.com |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Financial services, Healthcare & life sciences, Travel | Software & SaaS, Financial services, Healthcare & life sciences |
| Best use cases | Extending a trading firm's data team with ML engineers, Building a clinical data platform before adding models | Hiring one full-time LLM application developer for a startup, Building a small Latin American team on U.S. hours |
| Typical project type | Full-time dedicated engineers | Full-time dedicated engineers |
DataArt vs Howdy.com: pros and cons
| DataArt | |
|---|---|
| + | Deep domain knowledge in regulated sectors |
| + | Strong data-platform engineering supports AI work |
| + | Long client relationships suggest stable delivery |
| - | AI specialists are a small share of a broad workforce |
| - | Headcount figures vary considerably between sources |
| - | Engagements often lean toward managed delivery |
| Howdy.com | |
|---|---|
| + | Engineers work for one client full time |
| + | Howdy covers benefits, equipment and local employment |
| + | GeekHunter acquisition widened access to Brazilian talent |
| - | Company headcount is not disclosed |
| - | No published rates despite transparent-pricing marketing |
| - | AI focus is a recent repositioning |
Who should choose DataArt?
A typical fit: extending a trading firm's data team with ML engineers.
Nearly three decades of domain work in finance, healthcare and travel. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Healthcare & life sciences, Travel, Media.
Who should choose Howdy.com?
A typical fit: hiring one full-time LLM application developer for a startup.
Full-time, single-client placements with employment handled by Howdy. Minimum engagement is not publicly disclosed. Works best with clients in Software & SaaS, Financial services, Healthcare & life sciences.
Decision matrix: DataArt vs Howdy.com
| Your situation | Recommended choice |
|---|---|
| You need a dedicated team for a long programme | Both; DataArt rates higher overall |
| You want the supplier to own delivery as well as staffing | DataArt |
| You need one expert part-time | Neither lists part-time experts; ask about reduced hours |
| You want to test an engineer before signing for months | Neither publishes a trial; ask for a short first term |
| Your budget is at the lower end | Compare: DataArt (Not published) vs Howdy.com (Not published) |
| You need overlap with U.S. working hours | Howdy.com |
| You need specialist depth in a specific vertical | DataArt |
Use case fit: DataArt vs Howdy.com
| Use case | DataArt fit | Howdy.com fit | Winner |
|---|---|---|---|
| Extending a trading firm's data team with ML engineers | Strong | Limited | DataArt |
| Building a clinical data platform before adding models | Strong | Strong | Both equally |
| Hiring one full-time LLM application developer for a startup | Limited | Strong | Howdy.com |
| Building a small Latin American team on U.S. hours | Strong | Strong | Both equally |
Verdict: DataArt vs Howdy.com
DataArt (4.0/5) is the stronger overall choice for most AI Staff Augmentation projects. Nearly three decades of domain work in finance, healthcare and travel.
Howdy.com (3.9/5) is worth a look if you need building a small Latin American team on U.S. hours. If your situation matches that, Howdy.com is a competitive option.
Related comparisons
DataArt vs Howdy.com FAQ
Is DataArt better than Howdy.com?
DataArt (4.0/5) scores higher overall, but "better" depends on your use case. DataArt's strongest advantage: deep domain knowledge in regulated sectors. Howdy.com's strongest advantage: engineers work for one client full time.
How do DataArt and Howdy.com differ in pricing?
DataArt uses time and materials; dedicated teams; rates on request pricing. Howdy.com uses monthly all-in fee per engineer quoted per engagement; rates on request pricing. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: DataArt or Howdy.com?
DataArt 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 DataArt and Howdy.com?
DataArt's primary differentiator is: nearly three decades of domain work in finance, healthcare and travel. Howdy.com's primary differentiator is: Full-time, single-client placements with employment handled by Howdy. They also differ in team size (5,000+ vs Not disclosed), minimum engagement (Not published vs Not published), and primary industries served (Financial services, Healthcare & life sciences vs Software & SaaS, Financial services).
Verify all details directly with each company before making a decision.