H2O.ai vs Databricks AI (formerly Mosaic AI)

A side-by-side look at scores, pricing and features — with RECATOOLS' ASEAN-aware verdict for each.

H2O.ai Free Apache-2.0 AutoML engine, plus a quoted enterprise platform for p... Visit Databricks AI (formerly Mosaic AI) Build, serve and govern AI agents next to your lakehouse data Visit
RECATOOLS Score 7.2 / 10 7.3 / 10
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Pricing Freemium Usage_based
Free tier H2O-3 open source under Apache 2.0: all algorithms, AutoML and distributed training, self-hosted with community support Free Edition for learning only (no commercial use, no GPU serving, quota limits); 2-week trial with up to $400 of usage
Paid from Quoted on request: annual licence based on compute and memory, not per token From $0.07/DBU for model serving (Premium, AWS US East); usage-based, varies by cloud and region
Has API ✓ ✓
Open source ✓ ✗
Free to use ✓ ✓
Users 20,000+ global organizations, 1M+ data scientists —
Founded 2012 2023
Maker Sri Ambati, Cliff Click, Arno Candel Databricks, Inc.
Verdict

H2O-3 remains one of the most capable free machine-learning engines available: distributed training, a sensible AutoML baseline and Python, R and JVM interfaces under Apache 2.0, with no usage cap. Production extras such...

Databricks AI makes sense when your data already lives in Databricks: agents, model serving, AI Search and Unity Gateway governance all work against Unity Catalog without copying data to another platform. Agent Bricks an...

Full review → Full review →
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Comparisons cover up to 4 tools. Scores are RECATOOLS editorial assessments; verify current pricing on each vendor's site.