GlobalLogic vs ScienceSoft: full comparison for 2026
Quick verdict
GlobalLogic (4.0/5) edges ahead of ScienceSoft (3.8/5) overall. GlobalLogic is the better choice for enterprises with large, long-running connected programmes. ScienceSoft is the stronger option for companies wanting IoT from an established IT generalist. The right choice depends on your project size, budget, and required tech stack.
GlobalLogic vs ScienceSoft: head-to-head summary
| Criterion | GlobalLogic | ScienceSoft |
|---|---|---|
| Founded | 2000 | 1989 |
| HQ | San Jose, California, USA | McKinney, Texas, USA |
| Team size | 30,000+ | 750+ |
| Rating | 4.0 / 5 | 3.8 / 5 |
| Primary differentiator | Hitachi backing and very large engineering capacity for enterprise device programmes | Three decades of IT consulting with an IoT line inside a wide service catalogue |
| Pricing model | Time and materials, dedicated team, managed services | Fixed price, time and materials |
| Min. engagement | Not published | Not published |
| Primary tech stack | AWS, Azure, Google Cloud | Azure IoT, AWS IoT, .NET |
| Industries served | Automotive, Healthcare, Telecom, Industrial manufacturing, Energy | Healthcare, Industrial manufacturing, Retail, Logistics |
GlobalLogic vs ScienceSoft: overview
GlobalLogic
GlobalLogic was founded in 2000, is headquartered in San Jose and has been part of Hitachi since 2021. Its tens of thousands of engineers include large embedded, automotive and medical teams, and it runs connected-product programmes for major OEMs. For enterprise IoT it offers scale and compliance that boutiques cannot. A smaller buyer, though, will rarely get the company's most experienced IoT staff.
ScienceSoft
ScienceSoft dates to 1989 and is headquartered in McKinney, Texas, with about 750 employees. It publishes a large amount of IoT material and offers IoT consulting, app development and cloud back ends as one of many service lines. Its broad experience and ISO certifications suit buyers who want a stable generalist. Specialist device engineering is not its strength.
Services and capabilities: GlobalLogic vs ScienceSoft
| Capability | GlobalLogic | ScienceSoft |
|---|---|---|
| Mobile companion apps | ✓ | ✓ |
| Web dashboards and portals | ✓ | ✓ |
| IoT cloud back end | ✓ | ✓ |
| Embedded firmware | ✓ | ✗ |
| Hardware design | ✗ | ✗ |
| Edge AI | ✗ | ✗ |
| Fixed-price projects | ✗ | ✓ |
| Dedicated team model | ✓ | ✓ |
Tech stack comparison: GlobalLogic vs ScienceSoft
| Framework / platform | GlobalLogic | ScienceSoft |
|---|---|---|
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Embedded Linux | ✓ | N/A |
| BLE | N/A | N/A |
| MQTT | N/A | N/A |
| Swift | N/A | N/A |
| Kotlin | N/A | N/A |
| Flutter | N/A | N/A |
| React Native | N/A | ✓ |
Pricing comparison: GlobalLogic vs ScienceSoft
| Criterion | GlobalLogic | ScienceSoft |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Dedicated team, Time and materials, Managed services | Fixed project, Time and materials, Dedicated team |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: GlobalLogic vs ScienceSoft
| Dimension | GlobalLogic | ScienceSoft |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Automotive, Healthcare, Telecom | Healthcare, Industrial manufacturing, Retail |
| Best use cases | Running a multi-year connected-vehicle or medical device programme., Building the global cloud and app platform for an OEM's device portfolio. | Building a remote patient monitoring app on commercial devices., Adding IoT data to an existing enterprise app the vendor already supports. |
| Typical project type | Dedicated team | Fixed project |
GlobalLogic vs ScienceSoft: pros and cons
| GlobalLogic | |
|---|---|
| + | Can staff the largest programmes on this list |
| + | Mature security, compliance and delivery processes for enterprise buyers |
| + | Hitachi's industrial businesses add domain depth in rail, energy and manufacturing |
| - | Owned by Hitachi since 2021, which shapes priorities toward large accounts |
| - | Small and mid-sized projects get less senior attention |
| - | Generalist scale means IoT depth varies by team |
| ScienceSoft | |
|---|---|
| + | Long track record and stable company history |
| + | ISO 9001 and ISO 27001 certified (per company website; independently unverifiable) |
| + | Can handle IoT alongside other enterprise IT needs |
| - | Heavy content marketing overstates how specialised its IoT practice is |
| - | No hardware design |
| - | IoT is one of dozens of service lines |
Who should choose GlobalLogic?
A typical fit: running a multi-year connected-vehicle or medical device programme.
Hitachi backing and very large engineering capacity for enterprise device programmes. Minimum engagement is not publicly disclosed. Works best with clients in Automotive, Healthcare, Telecom, Industrial manufacturing, Energy.
Who should choose ScienceSoft?
A typical fit: building a remote patient monitoring app on commercial devices.
Three decades of IT consulting with an IoT line inside a wide service catalogue. Minimum engagement is not publicly disclosed. Works best with clients in Healthcare, Industrial manufacturing, Retail, Logistics.
Decision matrix: GlobalLogic vs ScienceSoft
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | ScienceSoft |
| You need a large dedicated team for an ongoing programme | GlobalLogic |
| Your budget is at the lower end | Compare: GlobalLogic (Not published) vs ScienceSoft (Not published) |
| You need specialist depth in a specific vertical | GlobalLogic |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | GlobalLogic |
Use case fit: GlobalLogic vs ScienceSoft
| Use case | GlobalLogic fit | ScienceSoft fit | Winner |
|---|---|---|---|
| Running a multi-year connected-vehicle or medical device programme. | Strong | Limited | GlobalLogic |
| Building the global cloud and app platform for an OEM's device portfolio. | Strong | Strong | Both equally |
| Building a remote patient monitoring app on commercial devices. | Strong | Strong | Both equally |
| Adding IoT data to an existing enterprise app the vendor already supports. | Limited | Strong | ScienceSoft |
| Fixed-price MVP app | Limited | Limited | Both equally |
| Long-term dedicated team | Strong | Limited | GlobalLogic |
Verdict: GlobalLogic vs ScienceSoft
GlobalLogic (4.0/5) is the stronger overall choice for most IoT App Development projects. Hitachi backing and very large engineering capacity for enterprise device programmes.
ScienceSoft (3.8/5) is worth a look if you need adding IoT data to an existing enterprise app the vendor already supports. If your situation matches that, ScienceSoft is a competitive option.
Related comparisons
GlobalLogic vs ScienceSoft FAQ
Is GlobalLogic better than ScienceSoft?
GlobalLogic (4.0/5) scores higher overall, but "better" depends on your use case. GlobalLogic's strongest advantage: can staff the largest programmes on this list. ScienceSoft's strongest advantage: long track record and stable company history.
How do GlobalLogic and ScienceSoft differ in pricing?
GlobalLogic uses time and materials, dedicated team, managed services pricing. ScienceSoft uses fixed price, time and materials pricing. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: GlobalLogic or ScienceSoft?
GlobalLogic 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 GlobalLogic and ScienceSoft?
GlobalLogic's primary differentiator is: hitachi backing and very large engineering capacity for enterprise device programmes. ScienceSoft's primary differentiator is: three decades of IT consulting with an IoT line inside a wide service catalogue. They also differ in team size (30,000+ vs 750+), minimum engagement (Not published vs Not published), and primary industries served (Automotive, Healthcare vs Healthcare, Industrial manufacturing).
Verify all details directly with each company before making a decision.