C3 AI vs Databricks Mosaic AI vs Dataiku vs Palantir AIP (Artificial Intelligence Platform)

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

C3 AI Prebuilt enterprise AI apps for industrial ops — big-ticket, big-iron Visit Databricks Mosaic AI Build and serve models next to your lakehouse data Visit Dataiku One workspace where coders and business analysts build the same AI pro... Visit Palantir AIP (Artificial Intelligence Platform) Query your enterprise data in plain English, with a full audit trail Visit
RECATOOLS Score 6.8 / 10 7.3 / 10 7.3 / 10 7.8 / 10
Capability
Value for money
Ease of use
ASEAN readiness
API quality
Pricing Enterprise Paid Freemium Freemium
Free tier No free tier — demo/pilot programs only 14-day trial with $400 usage credit; a no-cost 'Free Edition' also available via email signup Free Edition — self-hosted, up to 3 users, no deployment/governance features Free self-serve tier (AIP Now) for experimentation with workflows and data pipelines
Paid from DBU-based, from ~$0.07-0.08/DBU for model serving Custom quote; est. from ~€50K/year (platform tier) Custom enterprise quote — no public pricing
Has API
Open source
Free to use
Users ~750 enterprise customers (2026) 911+ customers (Q3 2025), up 45% YoY
Founded 2009 2013 2013 2003
Maker Thomas Siebel, Patricia House Databricks, Inc. (from MosaicML, acquired 2023) Florian Douetteau, Clément Stenac, Thomas Cabrol, Marc Batty Peter Thiel, Alex Karp, Stephen Cohen, Joe Lonsdale, Nathan Gettings
Verdict

The pitch that still holds up: instead of hiring an ML team to build predictive maintenance or supply-chain-risk models from scratch, you buy C3's pre-built applications and configure them — a real head start for asset-h...

Mosaic AI's whole argument is data gravity: train, fine-tune, and serve models where your data already lives instead of exporting it to a separate AI platform. It's the generative-AI layer of the Databricks lakehouse — M...

Dataiku's pitch is collaboration across skill levels, and reviewers say it delivers on it. The visual flow lets an analyst prep data and wire a pipeline without code, while an engineer drops into Python, R or SQL on the...

AIP's actual value is the audit trail: every AI-generated recommendation or agent action is traceable back through Foundry's data ontology, which is the difference between "the model said so" and something a regulator or...

Full review → Full review → 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.