Databricks Mosaic AI alternatives
Pick only when your data/platform already is Databricks. Otherwise Bedrock/Vertex or direct APIs.
Overall 7.11 (curated_estimate, medium) · score asOf 2026-09-14 · last reviewed 2026-09-14. This is not an Elo and not a live price board. Provider · JSON
Jobs: enterprise-llm, rag-enterprise, finetune, lakehouse-llm, ray-distributed-agents, sql-warehouse-agent-context, agent-analytics-warehouse, spreadsheet-sql-agents
| Provider | Why listed | Overall | Δ vs subject | asOf |
|---|---|---|---|---|
| MotherDuck Depot pick when the agent needs SQL warehouse context (analytics, DuckLake/Iceberg, shared Guides). Snowflake… | same_jtbd_pick, same_jtbd_runner · sql-warehouse-agent-context, agent-analytics-warehouse, spreadsheet-sql-agents | 8.44high | +1.33 | 2026-10-19 |
| Amazon Bedrock Enterprise multi-model switchboard. Great when AWS is mandatory; mediocre when you just want the best Claude… | same_jtbd_pick, same_jtbd_runner · enterprise-llm, rag-enterprise, lakehouse-llm | 7.75high | +0.64 | 2026-09-14 |
| ClickHouse Cloud Depot pick for agent-analytics-warehouse (event/log OLAP). MotherDuck remains sql-warehouse-agent-context for… | same_jtbd_runner, same_jtbd_pick · sql-warehouse-agent-context, agent-analytics-warehouse | 8.38high | +1.27 | 2026-10-19 |
| Together AI Best catalog breadth for OSS models. Watch minimums and lifetime spend gates before you design around a gated… | same_jtbd_pick · finetune | 8.2high | +1.09 | 2026-09-14 |
| Cohere Use for retrieval stacks (embed+rerank), not as your primary agent brain. Quietly excellent at enterprise RAG. | same_jtbd_pick · rag-enterprise | 7.95high | +0.84 | 2026-10-19 |
| Anyscale Default when your agent stack already is Ray or you need serious multi-node Python. For simple serverless GPU… | same_jtbd_pick · ray-distributed-agents | 7.46high | +0.35 | 2026-09-14 |
| Snowflake Cortex Use when Snowflake already holds the data. Don't drag agent backends into Snowflake just for Cortex. | same_jtbd_runner · lakehouse-llm, sql-warehouse-agent-context, agent-analytics-warehouse | 7.1medium | -0.01 | 2026-09-14 |
| Modal Depot darling for Python agent backends and bursty GPU jobs. If you think in functions not VMs, start here. | same_jtbd_runner · finetune, ray-distributed-agents | 8.44high | +1.33 | 2026-10-19 |
| DuckDB (vector/extensions) Use for local analytics + light vector experiments. Production agent memory → pgvector/Qdrant/Mem0. | same_jtbd_runner · sql-warehouse-agent-context, spreadsheet-sql-agents | 8high | +0.89 | 2026-09-14 |
| Google Vertex AI Enterprise Gemini path. Use AI Studio for prototypes, Vertex when security review starts asking questions. | same_jtbd_runner · enterprise-llm, lakehouse-llm | 7.96high | +0.85 | 2026-09-14 |
| Neon Excellent serverless Postgres for agent apps that want branching + pgvector without Supabase's full BaaS. | same_jtbd_runner · spreadsheet-sql-agents | 8.59high | +1.48 | 2026-09-14 |
| Unsloth Depot OSS fine-tune default. Hosted LoRA → Predibase/Fireworks/Together; dead OpenPipe → do not resurrect… | same_jtbd_runner · finetune | 8.52high | +1.41 | 2026-09-14 |
Prices are not ranked on this page. For a job, use the sourced quote (separate input and output rows, Depot Pick unchanged): enterprise-llm, rag-enterprise, finetune, lakehouse-llm.
Alternatives are other catalog providers that share a JTBD as pick or runner-up. If fewer than three exist, same-category active providers fill the list and are labeled same_category. Overall deltas are catalog scores. kind=curated_estimate is not a lab measurement. Pricing rows are sourced or explicitly null. Do not parse pricingNotes. A single normalized USD figure is set only for a provider with exactly one token row.