Standard
$0.40
Per DBU
- Apache Spark
- Delta Lake
- Collaborative notebooks
- Job scheduling
- Basic security
- Core functionality
Databricks (DBRX): Foundation Models
Founded 2013|San Francisco, California|5000+ people
What is Databricks (DBRX)?
Databricks is a unified data analytics platform founded in 2013 by the creators of Apache Spark, offering a comprehensive lakehouse architecture that combines data warehousing and data lakes. DBRX is Databricks' open-source large language model that delivers strong performance on coding tasks and general language understanding. The platform serves organizations across multiple pricing tiers (Standard, Premium, Enterprise), with costs based on Databricks Units (DBUs) starting at USD 0.40 per DBU. Users praise Databricks for combining data processing, analytics, and machine learning tools with seamless collaboration, auto-scaling capabilities, and Apache Spark efficiency. However, the platform faces consistent criticism for high costs at scale, steep learning curve, and platform lock-in concerns. Despite pricing challenges and UI limitations, Databricks' comprehensive feature set and strong integration capabilities make it a leading choice for enterprise data platforms.
Strengths and tradeoffs
What this tool does well, and the limitations to keep in mind.
Pros
- Unified platform combining data, analytics, and ML
- Built on Apache Spark for efficient large-scale processing
- Strong collaboration features with real-time notebooks
- Auto-scaling reduces infrastructure management
Cons
- High costs at scale—major concern across reviews
- Steep learning curve for Spark and cloud platforms
- Platform lock-in makes switching difficult
- UI needs improvement and better BI tool integration
Plans & pricing
What's included in each plan, and how the tiers compare.
Premium
$0.55
Per DBU
- All Standard features
- Unity Catalog
- Advanced security
- Priority support ($2k/mo)
- Enhanced MLflow
Enterprise
Custom
Per DBU
- All Premium features
- Custom SLAs
- Advanced governance
- Enterprise-grade support
- Highest security level
Using Databricks (DBRX) with Respan
Integrate Databricks' unified analytics platform with Respan to combine data processing, ML training, and AI deployment. Leverage Databricks' lakehouse architecture alongside Respan's AI orchestration for comprehensive data-to-deployment workflows. Scale from experimentation to production with flexible compute and storage.
- Combine data processing with AI deployment seamlessly
- Scale workloads efficiently with auto-scaling clusters
- Collaborate across teams with shared notebooks and workflows
- Optimize costs with spot instances and usage-based pricing
Run Databricks (DBRX) in production with Respan
10KFree traces/mo
1,000+Models
5 minSetup
Respan lets you trace LLM and agent calls across any model or framework, A/B test prompts on production traffic, and route requests across 1,000+ models through one gateway.
Try Respan freeBest Databricks (DBRX) alternatives & competitors
Top companies in Foundation Models you can use instead of Databricks (DBRX).
OpenAI
GPT-4o and GPT-4 Turbo frontier models
Anthropic
Claude 4 and Claude 3.5 Sonnet models
Google AI
Gemini 2.0 multimodal models
Meta AI
Llama open-source model family
Mistral AI
Mistral Large and Mixtral models
Voyage AI (MongoDB)
Text & multimodal embeddings
Cohere
Command R+ for RAG applications
Microsoft
Small language models
xAI
Grok models with real-time data access
DeepSeek
DeepSeek-V3 and DeepSeek-R1 models
Black Forest Labs
Image generation
Moonshot AI
Alibaba Qwen
Qwen2 open-source model series
Snowflake
Arctic models
Stability AI
Stable Diffusion image generation
Reka
01.AI
Zhipu AI
Guide Labs
Inherently interpretable LLM architecture
Cascade
Model distillation
Luel
Natural language to training data
Compare Databricks (DBRX)
Side-by-side comparisons with other tools in this category.
Best integrations for Databricks (DBRX)
Companies from adjacent layers in the AI stack that work well with Databricks (DBRX).
Last verified: March 10, 2026