Materialize vs BigQuery: Which Should You Choose in 2026?
Choosing between Materialize and BigQuery comes down to understanding what each tool does best. This comparison breaks down the key differences so you can make an informed decision based on your specific needs, not marketing claims.
Short on time? Here's the quick answer
We've tested both tools. Here's who should pick what:
Materialize
The Live Data Layer for Apps and AI Agents, enabling real-time insights with SQL.
Best for you if:
BigQuery
Google's serverless data warehouse for analytics
Best for you if:
- • You want the higher-rated option (9.2/10 vs 7.1/10)
| At a Glance |  Materialize | |
|---|---|---|
Price | Paid | Paid |
Best For | Data & Databases | Data & Databases |
Rating | 71/100 | 92/100 |
| Feature | Materialize | BigQuery |
|---|---|---|
| Pricing Model | Paid | Paid |
| Editorial Score | 71 | 92 |
| Community Rating | No ratings yet | No ratings yet |
| Total Reviews | 0 | 0 |
| Community Upvotes | 0 | 0 |
| Categories | Data & Databases | Data & Databases |
Understanding the Differences
Both Materialize and BigQuery solve similar problems, but they approach them differently.Materialize positions itself as "the live data layer for apps and ai agents, enabling real-time insights with sql." while BigQueryfocuses on "google's serverless data warehouse for analytics". These differences matter depending on what you're trying to accomplish.
When to Choose Materialize
Materialize makes sense if you're looking for a comprehensive paid solution.
When to Choose BigQuery
BigQuery is worth considering if you need a professional-grade tool. Scoring 92/100, it edges ahead in our evaluation.
Who Should Use What?
Bootstrapped or small team?
Neither is free, but both have their value. Test them both and see which clicks.
We'd pick: BigQuery
Growing fast?
Your team doubled last quarter and you need tools that won't break when you add 50 more people. BigQuery is built for teams that are leveling up.
We'd pick: BigQuery
Enterprise with complex needs?
You need SSO, compliance certifications, and a support team that picks up the phone. Materialize is built for organizations like yours.
We'd pick: Materialize
Still not sure? Answer these 3 questions
How much can you spend?
Both are paid tools. If money isn't the issue, go with BigQuery—it scored higher.
Do you care what other users think?
Both have similar review counts. Read a few before you commit.
Expert opinion or crowd wisdom?
Our team rated BigQuery higher (92/100). But the community has upvoted BigQuery more (0 votes). Pick your source of truth.
Key Takeaways
What BigQuery Does Better
- Higher overall score (92/100)
- Our recommendation for most use cases
Consider Materialize If
- Its specific features better match your workflow
- You prefer its interface or design approach
The Bottom Line
If we had to pick one, we'd go with BigQuery (92/100). But the honest answer is that "better" depends on your situation. BigQuery scores higher in our analysis, but Materialize might be the right choice if its specific strengths align with what you need most. Take advantage of free trials to test both before committing.
Frequently Asked Questions
Is Materialize or BigQuery better?
Based on our analysis, BigQuery scores higher with 92/100. Materialize ispaid while BigQuery is paid. The best choice depends on your specific needs and budget. We recommend testing both with free trials if available.
Can I switch from Materialize to BigQuery easily?
Migration difficulty varies. Check if both tools support data export/import in compatible formats. Some tools offer migration assistance or have integration partners who can help with the transition.
Do Materialize and BigQuery offer free trials?
Most software in this category offers free trials or free tiers. Materialize is paid with potential trial.BigQuery is paid with potential trial. Visit their websites for current trial offers.