2025 Rankings
Top 19 Google Cloud Consulting Firms
Independent analysis of leading Google Cloud partners for data analytics, ML/AI, and infrastructure.
| Rank | Firm | Score | Rate | Team | Platforms | Best For | |
|---|---|---|---|---|---|---|---|
| #1 | Slalom AWS Premier Partner | 9.2 /10 | $250K+ typical | 10,000+ employees | AWS Azure GCP | Migration | View → |
| #2 | SADA Premier Partner | 8.8 /10 | $200K-$800K | 800+ cloud engineers | GCP AWS | Migration | View → |
| #3 | 2nd Watch AWS Premier Partner | 8.7 /10 | $200K+ typical | 500-1000 employees | AWS Azure GCP | Migration | View → |
| #4 | Accenture Cloud Premier Partner | 8.7 /10 | $250K-$1M+ | 10,000+ cloud specialists globally | AWS Azure GCP | Migration & Modernization | View → |
| #5 | DoiT International Premier Partner | 8.7 /10 | $150K-$600K + managed services | 400+ cloud engineers | GCP AWS | FinOps | View → |
| #6 | 66degrees Premier Partner | 8.6 /10 | $180K-$700K | 500+ GCP specialists | GCP | Data & Analytics | View → |
| #7 | Deloitte Cloud Premier Partner | 8.6 /10 | $300K-$2M+ | 8,000+ cloud professionals | AWS Azure GCP | Cloud Strategy | View → |
| #8 | Cloudreach Advanced Partner | 8.5 /10 | $150K-$500K | 1,200+ cloud engineers | AWS Azure GCP | Cloud Native | View → |
| #9 | Rackspace Technology AWS Premier Partner | 8.5 /10 | $150K+ typical | 5,000+ employees | AWS Azure GCP | Migration | View → |
| #10 | Capgemini Cloud Services Premier Partner | 8.4 /10 | $200K-$800K | 6,000+ AWS-certified | AWS Azure GCP | Application Modernization | View → |
| #11 | Searce Advanced Partner | 8.4 /10 | $100K-$400K | 300+ GCP engineers | GCP | Data & Analytics | View → |
| #12 | Pythian Advanced Partner | 8.3 /10 | $150K-$550K | 400+ data specialists | GCP AWS Azure | Data Services | View → |
| #13 | STX Next Select Partner | 8.3 /10 | $120K-$400K | 500+ cloud engineers | AWS Azure GCP | Application Development | View → |
| #14 | Appsbroker Advanced Partner | 8.2 /10 | $120K-$450K | 250+ Google Cloud specialists | GCP | Google Workspace | View → |
| #15 | Cognizant Cloud Services Advanced Partner | 8.2 /10 | $180K-$600K | 5,000+ AWS professionals | AWS Azure GCP | Migration | View → |
| #16 | NTT DATA Cloud Advanced Partner | 8.2 /10 | $200K-$700K | 4,000+ cloud certified | AWS Azure GCP | Migration | View → |
| #17 | Onix Advanced Partner | 8.1 /10 | $100K-$400K | 180+ Google specialists | GCP | Google Workspace | View → |
| #18 | TCS Cloud Advanced Partner | 8.1 /10 | $150K-$500K | 12,000+ cloud specialists | AWS Azure GCP | Migration | View → |
| #19 | Wipro Cloud Advanced Partner | 8 /10 | $160K-$550K | 8,000+ AWS certified | AWS Azure GCP | Migration | View → |
Frequently Asked Questions
Which Google Cloud partner is best for BigQuery and data analytics?
SADA (score 8.8/10) leads in BigQuery implementations and Looker deployments, followed by 66degrees for end-to-end data platforms. DoiT excels at cost-optimized analytics architectures. Typical projects: $150K-$600K for data warehouse migrations, $300K-$1M+ for full analytics platforms with ML integration.
How much do Google Cloud consulting services cost?
Hourly rates: $140-$280/hour, generally 10-15% lower than AWS/Azure equivalents. Project-based: GCP assessments $20K-$60K, migrations $180K-$1.5M+, managed services $6K-$45K/month. Premier partners like SADA and 66degrees command higher rates but offer specialized expertise in Google technologies.
What's the difference between Premier and Standard GCP partners?
Premier partners have proven expertise in multiple specializations, larger successful deployments, and more certified engineers. They receive dedicated Google support and early access to new features. Standard partners can be excellent for specific use cases—evaluate based on relevant specializations and project references.
Which GCP partners specialize in machine learning and AI?
Top ML/AI specialists: SADA and Slalom for Vertex AI implementations, Searce for MLOps, 66degrees for complete AI platforms. Key capabilities: TensorFlow expertise, Vertex AI pipelines, model deployment at scale. Typical AI projects: $200K-$800K for custom ML solutions, ongoing MLOps support $15K-$50K/month.
Do I need a Google Cloud partner for migration from AWS or Azure?
Highly recommended for multi-cloud migrations. GCP's architecture differs significantly from AWS/Azure, especially for networking, IAM, and data services. Partners accelerate learning curve and avoid costly mistakes. Multi-cloud specialists like SADA, DoiT, and Accenture understand cross-platform nuances. Budget 20-30% more time than same-cloud migrations.
Can Google Cloud partners help optimize GCP costs?
Yes. Cost specialists like DoiT and SADA focus on BigQuery optimization, committed use discounts, and rightsize recommendations. Typical savings: 25-45% through query optimization, sustained use discounts, and resource rightsizing. Most charge 15-20% of identified savings or fixed monthly fees ($8K-$25K).
What should I look for in a GCP Kubernetes (GKE) partner?
Essential: Production GKE experience, Istio/Anthos expertise, CI/CD pipeline design, and security hardening. Check for Container Infrastructure Specialization. Top performers: SADA for enterprise GKE, Slalom for modernization, 66degrees for multi-cluster deployments. Typical GKE implementation: $150K-$500K depending on complexity.
How do Google Cloud partners handle data governance and compliance?
Leading partners like SADA and Accenture have dedicated security practices. Key capabilities: Data Loss Prevention (DLP) setup, VPC Service Controls, compliance frameworks (HIPAA, PCI, SOC2), and audit logging. Healthcare and financial services require partners with relevant compliance experience. Implementation: 3-6 months for full governance framework.
What's the typical timeline for Google Cloud migration?
Varies by approach: Simple lift-and-shift: 2-4 months, re-platforming with Cloud SQL/GKE: 4-8 months, full modernization with BigQuery/Dataflow: 8-16+ months. Discovery phase: 4-8 weeks. Multi-cloud strategies add 30-40% to timeline. Fast-start partners like SADA can accelerate with proven migration factories and automation.