Data & Analytics comparison
Databricks vs Apify
Our pick: Databricks scores 8.8/10 against 8.3/10 for Apify. Here's how they differ and which one fits your needs.
VS
At a glance
| Databricks | Apify | |
|---|---|---|
| Our score | 8.8/10 | 8.3/10 |
| Best for | Enterprises, Data teams | Developers, Growth teams |
| Type | Data analysis | Data scraping |
| Pricing | Paid | Free plan |
| Starting price | See website | $39/mo |
| Platforms | Web, API | Web, API |
| Launched | 2013 | 2015 |
Key features
Databricks
- Lakehouse
- AI/BI Genie
- Mosaic AI
- Unity Catalog
- Databricks SQL
Apify
- Actor store
- Cloud scraping
- Proxies
- MCP server
- Integrations
Databricks: pros and cons
Pros
- Unified data and AI platform
- Scales to massive data
Cons
- Complex and costly
- Requires data engineering skills
Apify: pros and cons
Pros
- Huge library of ready scrapers
- Scales well
Cons
- Costs vary by Actor
- Developer skills help for custom work
Verdict: Databricks or Apify?
Choose Databricks if you're enterprises or data teams and value unified data and AI platform.
Choose Apify if you're developers or growth teams and value huge library of ready scrapers.
Overall we rate Databricks slightly higher. Both are worth trying, and at least one has a free plan or trial. See all Data & Analytics tools for more options.
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