Machine Learning · head to head
Databricks vs LangChain

Databricks
Machine Learning
Unified analytics platform for data engineering and data science
- From
- Free
- Rated
- -

LangChain
Machine Learning
Build applications with LLMs through composability
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Databricks cloud compute is billed separately by the cloud provider on top of Databricks DBU charges; LangChain the free Developer plan of LangSmith is limited to 1 seat
- They diverge on capability: Databricks covers Delta Lake, LangChain covers Chains and agents.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Databricks and LangChain actually diverge.
| Attribute | Databricks | LangChain |
|---|---|---|
| Pricing model | usage-based | freemium |
| Platforms | Web, Aws, Azure, Gcp | Linux, Mac, Windows |
| Founded | 2013 | 2022 |
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Machine Learning).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in Databricks
- Delta Lake
- Apache Spark
- MLflow
- Unity Catalog
- Photon Engine
- Collaborative Notebooks
- Auto-scaling
- AWS
Only in LangChain
- Chains and agents
- Retrieval-augmented generation
- Memory management
- Tool integration
- Prompt templates
- OpenAI
- Anthropic
- Hugging Face
What people use each for
The jobs each tool is most often brought in to do.
Databricks
- Running Spark data engineering pipelines on managed clustersnot LangChain
- Building a lakehouse over data in cloud object storagenot LangChain
- Training and serving machine learning models alongside the datanot LangChain
LangChain
- Building LLM applications and agents in Python or JavaScriptnot Databricks
- Tracing and debugging LLM chains and agent runsnot Databricks
- Evaluating prompt and model changes against datasetsnot Databricks
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Databricks
- Cloud compute is billed separately by the cloud provider on top of Databricks DBU charges
- The free trial lasts 14 days
- Discounts require a Committed Use Contract, with larger commitments needed for larger discounts
- Azure Databricks pricing is set by Microsoft rather than by Databricks
- Security and compliance capabilities are sold as separate platform add ons rather than included in the base rate
LangChain
- The free Developer plan of LangSmith is limited to 1 seat
- Base traces are retained for 14 days only; 400 day retention costs extra
- Included traces are capped at 5,000 per month on Developer and 10,000 per month on Plus, with everything beyond billed pay as you go
- Self hosted and hybrid deployment of LangSmith is Enterprise only
- Custom SSO, RBAC and ABAC are Enterprise only
- A support SLA is Enterprise only
- Enterprise pricing is by quote with no published rate
Pricing, plan by plan
Databricks
Free- Community EditionFree
- Limited cluster
- Notebook environment
- Community support
- Standard$0.07/DBU
- Jobs compute
- SQL compute
- Standard support
LangChain
Free- Open SourceFree
- Full framework
- Community support
- LangSmith$39/month
- Debugging
- Monitoring
- Testing
Which should you pick?
Choose Databricks if
- You need delta lake.
- You want to start without paying.
- You work on Web, Aws, Azure, Gcp.
- You also want apache spark.
Choose LangChain if
- You need chains and agents.
- You want to start without paying.
- You work on Linux, Mac, Windows.
- You also want retrieval-augmented generation.
Questions people ask
- Is Databricks or LangChain better?
- Neither clearly leads. Databricks starts at Free and LangChain at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Databricks or LangChain?
- Databricks starts at Free and LangChain at Free.
- Does Databricks or LangChain run on more platforms?
- Databricks runs on Web, Aws, Azure, Gcp. LangChain runs on Linux, Mac, Windows.
- Can I use Databricks for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Databricks best used for?
- Databricks is most often used for running spark data engineering pipelines on managed clusters, building a lakehouse over data in cloud object storage, training and serving machine learning models alongside the data. Of those, running spark data engineering pipelines on managed clusters and building a lakehouse over data in cloud object storage are not what LangChain is typically brought in for.
- What can Databricks do that LangChain cannot?
- Databricks covers Delta Lake, Apache Spark, MLflow, Unity Catalog. LangChain covers Chains and agents, Retrieval-augmented generation, Memory management, Tool integration.
Answered from the vendors’ own pages
Databricks: How is Databricks priced?
Databricks bills pay as you go with no up front cost, charging per second for the products used. Consumption is measured in Databricks Units, a normalised unit of processing power on the platform.
SourceLangChain: Does LangChain charge for its services?
LangChain's main website does not display pricing. However, LangSmith (a related platform) offers both free and paid plans. Visit the dedicated pricing page or contact LangChain for details.
SourceDatabricks: Does Databricks publish a per DBU price?
Not on its main pricing page. Rates vary by product and instance type, and Databricks directs buyers to individual product pricing pages and a calculator rather than listing a single figure.
SourceLangChain: How can I learn about LangChain pricing?
Click on the Pricing link in navigation or use the Try LangSmith or Get a demo options to explore pricing for LangChain's commercial offerings.
SourceDatabricks: Does the Databricks price include cloud costs?
No. Databricks states that if you configure it to work with your own cloud account, your cloud provider still charges you separately for the underlying resources.
SourceDatabricks: Can I get a discount on Databricks?
Databricks offers Committed Use Contracts, where larger usage commitments earn greater benefits, including options to use commitments flexibly across multiple clouds.
SourceRelated pages
Other head to heads
- Databricks vs AWS SageMaker
- Databricks vs Google Vertex AI
- Databricks vs Azure Machine Learning
- Databricks vs DataRobot
- Databricks vs TensorFlow
- Databricks vs SAS
- Databricks vs Snowflake
- Databricks vs Apache Spark MLlib
- Databricks vs Alteryx
- Databricks vs IBM SPSS
- Databricks vs Palantir Foundry
- Databricks vs BentoML
- Databricks vs ClearML
- Databricks vs Cohere
- Databricks vs Dask
- Databricks vs Fal AI
- Databricks vs BigQuery ML
- Databricks vs Semantic Kernel
- Databricks vs Haystack
- Databricks vs LlamaIndex
- Databricks vs Pinecone
- Databricks vs Mistral AI
- Databricks vs Ollama
- Databricks vs Ray
- Databricks vs Seldon
- Databricks vs Stata
- Databricks vs TensorBoard
- Databricks vs Dataiku
- Databricks vs Amazon Redshift ML
- LangChain vs AWS SageMaker
- LangChain vs Google Vertex AI
- LangChain vs Azure Machine Learning
- LangChain vs DataRobot
- LangChain vs TensorFlow
- LangChain vs SAS
- LangChain vs Snowflake
- LangChain vs Apache Spark MLlib
- LangChain vs Alteryx
- LangChain vs IBM SPSS
- LangChain vs Palantir Foundry
- LangChain vs BentoML
- LangChain vs ClearML
- LangChain vs Cohere
- LangChain vs Dask
- LangChain vs Fal AI
- LangChain vs BigQuery ML
- LangChain vs Semantic Kernel
- LangChain vs Haystack
- LangChain vs LlamaIndex
- LangChain vs Pinecone
- LangChain vs Mistral AI
- LangChain vs Ollama
- LangChain vs Ray
- LangChain vs Seldon
- LangChain vs Stata
- LangChain vs TensorBoard
- LangChain vs Dataiku
- LangChain vs Amazon Redshift ML
