AWS Data Engineer vs Databricks Certification
Compare AWS Data Analytics Specialty and Databricks Data Engineer certifications for data engineering careers.
AWS Data Analytics - Specialty
Amazon Web Services
Databricks Data Engineer Associate
Databricks
Feature-by-Feature Breakdown
Compare all aspects of these certifications side by side
| Feature | AWS Data Analytics - Specialty | Databricks Data Engineer Associate |
|---|---|---|
| Provider | Amazon Web Services | Databricks |
| Difficulty Level | Specialty | Associate |
| Exam Duration | 180 minutes | 90 minutes |
| Exam Cost | $300 USD | $200 USD |
| Exam Format | 65 questions | 45 questions |
| Prerequisites | 5+ years data analytics experience | None |
| Validity Period | 3 years | 2 years |
| Ideal For | Data engineers on AWS platform | Data engineers working with Spark |
| Salary Range | $135,000 - $180,000 | $130,000 - $180,000 |
What Each Certification Covers
Key topics and domains covered in each exam
AWS Data Analytics - Specialty Focus Areas
- Kinesis
- Glue
- Athena
- Redshift
- QuickSight
- EMR
Databricks Data Engineer Associate Focus Areas
- Delta Lake
- Spark
- ETL Pipelines
- Data Lakehouse
Our Recommendation
AWS is broader across AWS services; Databricks specializes in Spark and lakehouse.
Choose AWS Data Analytics - Specialty
Choose AWS for comprehensive AWS data services expertise.
Choose Databricks Data Engineer Associate
Choose Databricks for Spark-focused data engineering and ML integration.
Frequently Asked Questions
Which is better: AWS Data Analytics - Specialty or Databricks Data Engineer Associate?
AWS is broader across AWS services; Databricks specializes in Spark and lakehouse.
What are the salary differences between AWS Data Analytics - Specialty?
AWS Data Analytics - Specialty typically offers salaries around $135,000 - $180,000, while Databricks Data Engineer Associate offers $130,000 - $180,000.
Which certification should I get first?
Choose AWS for comprehensive AWS data services expertise. Choose Databricks for Spark-focused data engineering and ML integration.
How long does it take to prepare for these certifications?
Preparation time varies based on experience. Most candidates spend 4-12 weeks studying, depending on their background and the certification difficulty level.
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