GCP Professional Data Engineer vs AWS Certified Database – Specialty

Updated: 2025-01-15 Methodology

Google Cloud Professional Data Engineer vs AWS Certified Database Specialty: two data-focused certifications from competing cloud platforms. GCP's cert covers broad data engineering pipelines, while AWS focuses specifically on database design, migration, and management.

$142K
GCP Professional Data Engineer
$138K
AWS Certified Database – Specialty

Side-by-Side Comparison

Feature GCP Professional Data EngineerAWS Certified Database – Specialty
Provider Google CloudAmazon Web Services
Level ProfessionalSpecialty
Exam Cost $200 ✓$300
Avg Salary $142,000 ✓$138,000
Pass Rate 50%50%
Study Hours 140h140h
Difficulty 7/107/10
Job Listings 8.5K ✓6.8K

For a deeper look at each certification, read our full GCP Professional Data Engineer guide and AWS Certified Database – Specialty guide. Also compare: AWS Data Engineer Associate vs GCP Professional Data Engineer.

Our Verdict

GCP Professional Data Engineer covers a broader scope — data pipelines, ML integration, BigQuery, Dataflow, and Pub/Sub — making it ideal for data engineers working across the full data lifecycle. AWS Database Specialty is narrower, focusing on database technologies (RDS, DynamoDB, Aurora, Redshift, Neptune) and is better suited for dedicated database administrators. GCP Data Engineer commands a slightly higher salary ($140K vs $132K) and reflects Google Cloud's strength in data and analytics workloads.

Choose GCP Professional Data Engineer if you...

  • Want higher earning potential ($142K vs $138K avg)
  • Want a lower exam cost ($200 vs $300)
  • Want broader job market demand (8.5K listings)
  • Focus on Google Cloud ecosystem and professional-level roles
Read full GCP Professional Data Engineer guide →

Choose AWS Certified Database – Specialty if you...

  • Focus on Amazon Web Services ecosystem and specialty-level roles
Read full AWS Certified Database – Specialty guide →

Can You Get Both?

Yes — and many professionals do. Since both GCP Professional Data Engineer and AWS Certified Database – Specialty are in the data space, they complement each other well. Start with the AWS Certified Database – Specialty (lower barrier to entry) and add the other after 1-2 years of hands-on experience.

Combined study commitment: approximately 280h and $500 in exam fees.

These certs feature in career paths like Data Engineer and Data Scientist.

Deep Dive Into Each Certification

Frequently Asked Questions

Which has more practical value for data engineers?
GCP Professional Data Engineer is broader and more aligned with modern data engineering roles that span ingestion, transformation, storage, and ML model serving. AWS Database Specialty is more valuable for roles specifically focused on database administration and optimization.
Does GCP's smaller market share matter?
For data-specific roles, GCP punches above its overall market share. Google Cloud is especially strong in analytics (BigQuery), data streaming, and AI/ML workloads. Many large enterprises use GCP specifically for their data platform even if their primary cloud is AWS or Azure.
Can I use both certifications together?
Yes — holding both signals multi-cloud data expertise, which is increasingly valuable. Many organizations use different clouds for different workloads, and data engineers who can work across platforms command premium salaries and have access to a wider range of opportunities.

Related Career Paths

Data Sources & Transparency

  • Salary data — Bureau of Labor Statistics, Glassdoor, and job posting aggregates (US median)
  • Job listings — LinkedIn, Indeed, and Dice active postings (sampled quarterly)
  • Pass rates — Community-reported estimates from Reddit, TechExams, and certification forums