No public flat pricing. Usage-based: Databricks Units (DBUs) from ~$0.20/DBU. Enterprise custom negotiated pricing. Free trial available.

Free tier with limited compute credits. Usage-based pricing per model run, starting from fractions of a cent for small models to several cents for large GPU-intensive models. Enterprise custom pricing.

Customer data processed within the customer's own AWS, Azure, or GCP cloud account — Databricks does not have access to customer data. Enterprise data handling agreements available.

Review individual model licences before commercial deployment. Some open source models have non-commercial or restricted use licences. Replicate does not own the models it hosts.

• ✓Unified platform for data and AI eliminates fragmentation between data and ML toolchains
• ✓LLM fine-tuning on proprietary data enables building AI specific to company knowledge
• ✓Data processed within customer's own cloud account — strong data governance and sovereignty
• ✓MLflow open source standard for ML tracking ensures portability

• ✓Run thousands of open source models without GPU infrastructure management
• ✓Usage-based pricing is cost-effective for variable workloads
• ✓Clean developer experience with good documentation
• ✓Fast prototyping across diverse model types

• ✕Usage-based pricing can be expensive at scale without careful cost management
• ✕Steep learning curve for teams new to the Databricks/Spark paradigm
• ✕Requires existing cloud infrastructure (AWS, Azure, GCP) — not standalone SaaS

• ✕Developer-only platform with limited accessibility for non-technical users
• ✕Pricing per model run can add up for high-volume production use
• ✕Not all models are maintained or up to date
• ✕Large-scale production workloads may be cheaper with managed GPU infrastructure