ELEKS vs Aptus Data Labs: full comparison for 2026
Last updated: July 2026
Quick verdict
ELEKS (4.1/5) edges ahead of Aptus Data Labs (4.0/5) overall. ELEKS is the better choice for enterprises wanting a long-established European software engineering partner with an added data science practice rather than an AI-only startup vendor.. Aptus Data Labs is the stronger option for companies wanting a boutique, India-based data engineering and analytics firm with AWS AI service depth.. The right choice depends on your project size, budget, and required tech stack.
ELEKS vs Aptus Data Labs: head-to-head summary
| Criterion | ELEKS | Aptus Data Labs |
|---|---|---|
| Founded | 1991 | 2014 |
| HQ | Tallinn, Estonia (engineering hub: Lviv, Ukraine) | Bengaluru, India |
| Team size | 1,001–5,000 | 51–200 |
| Rating | 4.1 / 5 | 4.0 / 5 |
| Best for | Enterprises wanting a long-established European software engineering partner with an added data science practice rather than an AI-only startup vendor. | Companies wanting a boutique, India-based data engineering and analytics firm with AWS AI service depth. |
| Pricing model | Time & Material, Fixed project | Not published; project-based |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, Cloud ML platforms (AWS/Azure/GCP), Data engineering tooling | AWS AI services, Python, Data engineering/analytics tooling |
| Industries served | Financial services, Healthcare, Manufacturing, Insurance | Enterprise (cross-industry), Financial services |
ELEKS vs Aptus Data Labs: overview
ELEKS
ELEKS is a long-running European software engineering company founded in 1991, with corporate presence in Tallinn, Estonia and its largest engineering hub in Lviv, Ukraine, alongside additional offices across Europe and North America. The company reports more than 2,000 employees and operates a dedicated data science and AI practice layered onto its broader enterprise software engineering services. Its history predates the modern AI/ML consulting wave by roughly three decades, giving it an unusually long operating track record compared to most peers in this list.
Aptus Data Labs
Aptus Data Labs is a data engineering and advanced analytics company founded in 2014 in Bangalore by Ravindra Swamy and Samir Kumar Sahoo. The company offers analytical solutions and consulting services aimed at helping businesses make data-driven decisions, with a practice that spans cloud solutions and AWS AI services alongside core data engineering. Reported employee counts vary across sources from roughly 45 to a few hundred, positioning it as a smaller boutique analytics firm rather than a large-scale delivery organization.
Services and capabilities: ELEKS vs Aptus Data Labs
| Capability | ELEKS | Aptus Data Labs |
|---|---|---|
| Custom model training | ✓ | ✓ |
| Fine-tuning & adaptation | ✗ | ✗ |
| MLOps pipeline | ✓ | ✗ |
| Model deployment & serving | ✗ | ✗ |
| Data engineering for ML | ✓ | ✓ |
| ML infrastructure management | ✗ | ✓ |
| Computer vision | ✗ | ✗ |
| NLP & LLM development | ✗ | ✗ |
| Forecasting & time-series modeling | ✗ | ✗ |
| ML strategy consulting | ✗ | ✗ |
Tech stack comparison: ELEKS vs Aptus Data Labs
| Framework / platform | ELEKS | Aptus Data Labs |
|---|---|---|
| PyTorch | N/A | N/A |
| TensorFlow | N/A | N/A |
| MLflow | N/A | N/A |
| AWS SageMaker | N/A | N/A |
| Amazon Bedrock | N/A | N/A |
| Google Cloud | N/A | N/A |
| Microsoft Azure | N/A | N/A |
| Kubernetes | ✓ | N/A |
| Snowflake | N/A | N/A |
| NVIDIA | N/A | N/A |
Pricing comparison: ELEKS vs Aptus Data Labs
| Criterion | ELEKS | Aptus Data Labs |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Time & Material, Fixed project, Dedicated team | Fixed project, Consulting engagement |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: ELEKS vs Aptus Data Labs
| Dimension | ELEKS | Aptus Data Labs |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Financial services, Healthcare, Manufacturing | Enterprise (cross-industry), Financial services |
| Best use cases | Running an enterprise-scale data science initiative alongside a broader software modernization program, Engaging a long-tenured, stable partner for a multi-year digital transformation that includes ML components | Building AWS-native data engineering pipelines to support downstream ML models, Running a focused analytics consulting engagement for a mid-market Indian or global company |
| Typical project type | Time & Material | Fixed project |
ELEKS vs Aptus Data Labs: pros and cons
| ELEKS | |
|---|---|
| + | Over three decades of continuous operation, unusually long for this category. |
| + | Large engineering bench (2,000+ employees) supports substantial delivery capacity. |
| + | Data science practice is embedded within a mature enterprise software engineering organization. |
| + | Multi-region European and North American office footprint. |
| - | AI/ML is one practice area within a much broader enterprise software portfolio, not the company's primary specialization. |
| - | Specific, named ML case studies with quantified outcomes are limited in available public sources. |
| - | Pricing minimums are not published. |
| - | Long operating history does not necessarily translate into deep modern ML/LLM specialization relative to newer, AI-first boutiques. |
| Aptus Data Labs | |
|---|---|
| + | Decade-plus operating history as a focused data engineering and analytics boutique. |
| + | Specific AWS AI services expertise adds credibility for AWS-standardized buyers. |
| + | Founder-led with stable leadership since 2014. |
| + | Boutique size may offer more attentive, senior-level engagement than larger firms. |
| - | Employee count estimates vary widely across sources, creating uncertainty about actual delivery capacity. |
| - | Public, named case studies with quantified ML outcomes are limited in available sources. |
| - | No clearly located aggregate Clutch/G2 star rating in available public sources. |
| - | Smaller scale limits suitability for very large, multi-region enterprise programs. |
Who should choose ELEKS?
ELEKS is the right choice for enterprises wanting a long-established European software engineering partner with an added data science practice rather than an AI-only startup vendor..
One of the longest operating histories (since 1991) among firms researched for this list, predating the AI consulting boom by decades.. Minimum engagement starts at Not published. Works best with clients in Financial services, Healthcare, Manufacturing, Insurance.
Who should choose Aptus Data Labs?
Aptus Data Labs is the right choice for companies wanting a boutique, India-based data engineering and analytics firm with AWS AI service depth..
Combines core data engineering consulting with specific AWS AI service implementation expertise in a boutique-sized team.. Minimum engagement starts at Not published. Works best with clients in Enterprise (cross-industry), Financial services.
Decision matrix: ELEKS vs Aptus Data Labs
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | ELEKS |
| You need a large dedicated team for an ongoing programme | ELEKS |
| Your budget is at the lower end | Compare: ELEKS (Not published) vs Aptus Data Labs (Not published) |
| You need specialist depth in a specific vertical | ELEKS |
| 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: ELEKS vs Aptus Data Labs
| Use case | ELEKS fit | Aptus Data Labs fit | Winner |
|---|---|---|---|
| Running an enterprise-scale data science initiative alongside a broader software modernization program | Strong | Strong | Both equally |
| Engaging a long-tenured, stable partner for a multi-year digital transformation that includes ML components | Strong | Strong | Both equally |
| Building AWS-native data engineering pipelines to support downstream ML models | Strong | Strong | Both equally |
| Running a focused analytics consulting engagement for a mid-market Indian or global company | Strong | Strong | Both equally |
| Fixed-price build | Limited | Limited | Both equally |
| MLOps pipeline setup | Limited | Limited | Both equally |
Verdict: ELEKS vs Aptus Data Labs
ELEKS (4.1/5) is the stronger overall choice for most ML Model Development projects. One of the longest operating histories (since 1991) among firms researched for this list, predating the AI consulting boom by decades.. It is best for enterprises wanting a long-established European software engineering partner with an added data science practice rather than an AI-only startup vendor..
Aptus Data Labs (4.0/5) is the better choice when companies wanting a boutique, India-based data engineering and analytics firm with AWS AI service depth.. If your situation matches those criteria, Aptus Data Labs is a competitive option.
Related comparisons
ELEKS vs Aptus Data Labs FAQ
Is ELEKS better than Aptus Data Labs?
ELEKS (4.1/5) scores higher overall, but "better" depends on your use case. ELEKS is better for enterprises wanting a long-established European software engineering partner with an added data science practice rather than an AI-only startup vendor.. Aptus Data Labs is better for companies wanting a boutique, India-based data engineering and analytics firm with AWS AI service depth..
How do ELEKS and Aptus Data Labs differ in pricing?
ELEKS uses time & material, fixed project pricing with a minimum engagement of Not published. Aptus Data Labs uses not published; project-based pricing with a minimum engagement of Not published. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: ELEKS or Aptus Data Labs?
ELEKS 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 ELEKS and Aptus Data Labs?
ELEKS's primary differentiator is: one of the longest operating histories (since 1991) among firms researched for this list, predating the ai consulting boom by decades.. Aptus Data Labs's primary differentiator is: combines core data engineering consulting with specific aws ai service implementation expertise in a boutique-sized team.. They also differ in team size (1,001–5,000 vs 51–200), minimum engagement (Not published vs Not published), and primary industries served (Financial services, Healthcare vs Enterprise (cross-industry), Financial services).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.