A side-by-side comparison of 36 professional certifications across Project Management, Cloud & Platform, Networking, Cybersecurity, Data & AI, Finance & Accounting, IT Service Management, Software Development. Compare verified vendor examination formats, passing rules, renewal requirements, and domain outlines.
| Attribute | GCP Data Engineer Google Cloud | AWS Data Analytics Amazon Web Services (AWS) | GCP Developer Google Cloud | Databricks DE Databricks | SnowPro Core Snowflake | AWS ML Specialty Amazon Web Services (AWS) |
|---|---|---|---|---|---|---|
| Full Title | Google Cloud Professional Data Engineer | AWS Certified Data Analytics – Specialty | Google Cloud Professional Cloud Developer | Databricks Certified Data Engineer – Associate | Snowflake SnowPro Core Certification | AWS Certified Machine Learning – Specialty |
| Issuing Body | Google Cloud | Amazon Web Services (AWS) | Google Cloud | Databricks | Snowflake | Amazon Web Services (AWS) |
| Credential Tier | Professional | Expert | Professional | Associate | Associate | Expert |
| Domain Area | Data & AI | Data & AI | Data & AI | Data & AI | Data & AI | Data & AI |
| Exam Format | A proctored exam with scenario-based multiple-choice and multi-select items covering the professional data engineer blueprint, including designing data processing and data warehouse systems. | A proctored specialty exam of scenario-based multiple-choice items across the data analytics specialty blueprint. | A proctored exam with scenario-based multiple-choice and multi-select items covering the professional cloud developer blueprint. | A proctored exam of multiple-choice items covering data engineering topics such as Delta Lake, Spark, data flows, data quality and governance. | A proctored online exam with multiple-choice items and a small number of labs, covering the published SnowPro Core objectives. | A proctored exam of scenario-based multiple-choice items across the ML specialty blueprint, covering the full lifecycle from framing through deployment. |
| Penalty Rule | Set by the issuer — most vendor exams apply none | Set by the issuer — most vendor exams apply none | Set by the issuer — most vendor exams apply none | Set by the issuer — most vendor exams apply none | Set by the issuer — most vendor exams apply none | Set by the issuer — most vendor exams apply none |
| Validity Period | Credentials renew every two years through a renewal assessment, per Google Cloud's certification policy. | Recertification follows AWS's published cycle for specialty credentials. | Credentials renew every two years through a renewal assessment, per Google Cloud's certification policy. | Databricks certifications renew every two years by re-taking the related certification exam, per its published policy. | Snowflake certifications are renewed annually by re-taking the certification exam, per Snowflake's published policy. | Recertification follows AWS's published cycle for the credential. |
| Prerequisites | Google Cloud publishes no formal prerequisites for this exam; it recommends relevant experience before attempting it. | AWS recommends analytics and developer preparation as background; these are recommendations rather than enforced prerequisites. | Google Cloud publishes no formal prerequisites for this level; it publishes recommended experience before attempting the exam. | Databricks publishes no formal prerequisites for the associate level; it recommends relevant hands-on experience with the lakehouse. | Snowflake publishes no formal prerequisites for SnowPro Core; hands-on platform experience is the usual preparation. | AWS recommends preparation through the developer and data-analytics associate or professional exams; these are recommendations rather than enforced prerequisites. |
| Official Domains | 4 domains (Data ingestion and processing, Data warehousing and analytics systems...) | 4 domains (Data collection and ingestion, Data storage, warehousing and querying...) | 3 domains (Designing cloud applications and architecture, Developing cloud applications...) | 4 domains (Data ingestion and ETL, Data modelling and analytics...) | 4 domains (Snowflake architecture and storage, Virtual warehouses and compute...) | 4 domains (ML business problem framing, Data engineering and feature engineering...) |
| Actions | View Blueprint → | View Blueprint → | View Blueprint → | View Blueprint → | View Blueprint → | View Blueprint → |
PMP, PMI-ACP and the practitioner-level agile and process exams.
AWS, Azure and Google Cloud architecture, operations and security specialties.
Cisco and CompTIA routing, switching and enterprise networking.
Security operations, governance and offensive certifications.
Data engineering, machine learning and analytics platforms at professional level.
Professional accounting, investment and risk qualifications.
Service-management frameworks and practitioner certifications.
Programming, application-development and container-platform credentials.
Compare UPSC, SSC, Banking, Railways, and State PSC commission marking schemes, negative penalties, and syllabus overlap.