BigQuery vs Redshift: Which Should You Learn in 2026?
Updated March 2026
Choosing between BigQuery and Redshift is a common dilemma for learners and professionals. Both have distinct strengths, and the right choice depends on your goals, background, and career aspirations.
Quick Comparison
| Criteria | BigQuery | Redshift |
|---|---|---|
| Learning Curve | Similar | Easier |
| Job Market Demand | Very High | Growing |
| Salary Potential | $100K-160K | $110K-170K |
| Community & Resources | Moderate | Growing |
| Future Outlook | Growing | Promising |
When to Choose BigQuery
Choose BigQuery if you:
- Want a skill with very high market demand
- Prefer a similar learning curve
- Are targeting roles that specifically require BigQuery
- Value the moderate community and ecosystem
When to Choose Redshift
Choose Redshift if you:
- Want a skill with growing market demand
- Prefer a easier learning curve
- Are targeting roles that specifically require Redshift
- Value the growing community and ecosystem
Detailed Breakdown
Learning Curve
BigQuery has a similar learning curve compared to Redshift's easier curve. Beginners may find Redshift more accessible, while experienced professionals might prefer the depth of BigQuery.
Job Market & Salary
Both skills are valuable in the data science job market. BigQuery positions typically offer $100K-160K annually, while Redshift roles range from $110K-170K. Demand for both skills continues to grow in 2026.
Community & Ecosystem
BigQuery has a moderate community with extensive documentation and resources. Redshift offers a growing ecosystem with its own set of tools and libraries.
Best Platforms to Learn Both
| Platform | BigQuery Courses | Redshift Courses | Price |
|---|---|---|---|
| Coursera | Available | Available | $39-79/mo |
| Udemy | 50+ courses | 40+ courses | $12-25/course |
| Pluralsight | Skill paths | Skill paths | $29-45/mo |
| YouTube | Free tutorials | Free tutorials | Free |
Our Verdict
For beginners: Start with Redshift — its easier learning curve makes it more accessible.
For career switchers: Consider BigQuery — it has stronger immediate job market demand.
For experienced professionals: Both are valuable. Consider learning BigQuery first, then adding Redshift to broaden your skill set.
FAQ
Can I learn both BigQuery and Redshift? Absolutely. Many professionals use both in their work. Start with one, build proficiency, then add the other.
Which has better long-term prospects? Both have growing and promising outlooks respectively. The data science field continues to grow, making both skills valuable investments.
Last updated: March 2026