Google Cloud programs don’t end. That’s the first thing nobody tells you. You migrate. You think you’re done. Then apps start breaking, data grows, security rules change, and suddenly you’re managing three vendors who blame each other. Fun times.
I’ve seen this pattern enough times to know which firms actually stick around and which ones disappear after the invoice clears. Six below. All have real GCP practices. None are perfect.
1. Avenga
Google Cloud consulting services from Avenga cover the full path from assessment and migration to application modernization, data engineering, SRE, and cloud operations. The list itself is not unusual, but keeping those areas inside one delivery setup changes how the project is managed.
Companies do not need to bring in a new supplier every time the scope moves from infrastructure into software, data, or operations. Ownership stays with one team, and delivery progress remains visible throughout the program. Avenga also states that this model can support software delivery up to 50% faster.
The setup becomes more useful once GCP stops being only a destination for migrated workloads. New applications need development, data platforms keep changing, and operations teams inherit whatever was built during the first stage. That is where vendor handoffs usually start creating delays.
Avenga can remain involved as the work moves from migration into active platform development and later support. For longer programs, that continuity can matter more than having another specialist for each separate task.
Main areas include:
- Assessment and migration planning;
- Cloud-native applications and legacy modernization;
- Data engineering, analytics, and AI;
- SRE, security, IAM, and infrastructure automation;
- Ongoing cloud operations after launch.
Avenga is a better fit for enterprises that want one provider involved from planning through production operations. For a small infrastructure-only assignment, the wider service range may be unnecessary.
2. SoftServe
SoftServe has a deep engineering bench. Google Cloud work plus software, data, AI. App modernization. Cloud architecture. Analytics. ML. Platform engineering. Migration is the smallest part of what they do.
Useful when GCP is supposed to support new products. Not just host old ones. Also useful in big enterprises where one cloud decision touches five business units. They have the people to staff everything in parallel.
Stronger on projects that connect cloud with modern apps and data platforms. Map that to your roadmap before shortlisting.
What they cover:
- App modernization on GCP;
- Data platforms. Analytics;
- AI and ML;
- Cloud architecture. Platform engineering;
- DevOps. Production support.
Makes more sense when GCP is part of a bigger tech program. Not a standalone migration.
Best for. Enterprises building new services, data products, AI workloads on GCP. Smaller migrations don’t need this scale.
3. Intellias
Intellias covers GCP consulting, app engineering, DevOps, data, security, managed cloud. The offer starts with readiness and architecture. Then moves into migration, modernization, platform support. Useful when requirements shift as workloads move. App teams stay in the same program. No waiting for infra to finish first.
Relevant when several disciplines live inside one delivery plan. Compare how they handle the shift from assessment to production.
Areas worth reviewing:
- Cloud readiness. Architecture planning;
- App modernization. Cloud-native development;
- Data engineering. Analytics;
- DevOps, security, infra management;
- Managed cloud services. Optimization.
Broad route from planning into long-term cloud work. Value shows up when the project has several apps or teams. Not one isolated workload.
Good match for. Companies where software, infra, and data work overlap during the same GCP program. Also when the engagement might grow later.
4. Luxoft
Luxoft comes to GCP from a wider enterprise software background. Google Cloud sits beside other providers, data platforms, legacy systems. Not the only platform in the room. Useful when your architecture is already spread across vendors. Which, let’s be honest, it probably is.
Handles big messy software estates. The kind that can’t be rebuilt in one go. Value comes from working across those boundaries instead of pretending every system is a separate cloud project.
This work needs strong connections between infra, software, and existing platforms. Don’t judge Luxoft as a pure GCP shop. They’re not.
Relevant areas:
- Enterprise cloud architecture;
- App and platform engineering;
- Multi-vendor cloud environments;
- Data and infra modernization;
- Support for complex enterprise stacks.
Convincing when GCP has to coexist with established systems. If you want a narrow GCP-only consultancy, look elsewhere.
Best suited for. Big organizations with mixed cloud and enterprise stacks. The broader background matters most when GCP is one piece of a bigger picture.
5. ScienceSoft
ScienceSoft enters before the platform decision is made. Consulting covers infra assessment, software modernization, cloud planning, and migration across providers. Clients compare routes before committing to GCP. Also works with older enterprise environments where apps and infra need review together.
That early position separates them from firms that show up after the architecture is frozen. More useful when you still have questions. Which workloads go where. What state is the software in? Is cloud even the right answer?
Typical areas:
- Cloud readiness. Platform assessment;
- GCP migration planning;
- Legacy software modernization;
- Infra and architecture consulting;
- Regulated enterprise work.
Lets buyers examine the environment before spending big. Prevents pushing bad workloads into a migration schedule too early.
Right starting point. Companies still making platform decisions. If you already have a finished GCP roadmap, you need engineers, not advisors.
6. ELEKS
ELEKS shows up when apps are the problem. Legacy frameworks. Broken deployment processes. Tightly coupled systems. The stuff that costs more to move than the infra itself. Strong software engineering background. App changes stay in the same project as cloud work.
Also works across GCP and other clouds. Useful when the final architecture stays mixed. Practical for modernization programs where code and cloud changes happen together.
Strongest when the app estate needs attention before or during migration. Review the parts that connect software work with cloud delivery.
Areas:
- GCP architecture and migration;
- Legacy app refactoring;
- DevOps and infra engineering;
- Hybrid and multi-cloud;
- Software support after migration.
Justify when software changes are already a big chunk of the project. If the apps are healthy and only infra needs work, some of that depth goes unused.
Most relevant scenario. Companies whose GCP plans depend on modernizing existing apps. Also useful when several clouds stay in use post-migration.
Final Thoughts
Six firms. Six different answers. Avenga keeps software, data, ops, and ownership in one place. SoftServe and Intellias bring engineering depth for bigger programs. Luxoft fits mixed enterprise stacks. ScienceSoft helps earlier in the process. ELEKS handles legacy software problems.
The right shortlist starts with where your project is hardest. Not with a generic service comparison. Know what happens after migration, and the choice gets much easier.