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Databricks vs Mistral AI

Databricks logo

Databricks

Software

Unified analytics platform for data engineering and data science

From
Free
Rated
-
Full reviewWebsite
Mistral AI logo

Mistral AI

Software

European AI lab with open models, API platform and Le Chat assistant

From
On request
Rated
-
Full reviewWebsite

The short version

  • Only Databricks has a free tier, so it costs nothing to try first.
  • Each has a real cost: Databricks cloud compute is billed separately by the cloud provider on top of Databricks DBU charges; Mistral AI smaller model selection compared to OpenAI; Mistral Medium 3.5 significantly more expensive than competing mid-tier models

Where they differ

Only the attributes on which Databricks and Mistral AI actually diverge.

Attributes where Databricks and Mistral AI differ
AttributeDatabricksMistral AI
Starting priceFreeOn request
Free tierYesNo
PlatformsWeb, Aws, Azure, GcpWeb, API, Self-hosted, Cloud (AWS, Google Cloud, Azure, SAP, IBM, Snowflake, NVIDIA, Outscale)
Founded2013Unknown

Identical on both: pricing model (usage-based), user rating (Not yet rated), category (Unknown).

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 Mistral AI

Nothing recorded that Databricks does not also cover.

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 Mistral AI
  • Building a lakehouse over data in cloud object storagenot Mistral AI
  • Training and serving machine learning models alongside the datanot Mistral AI

Mistral AI

  • EU-regulated workloads requiring data residency outside USnot Databricks
  • Custom model training and domain-specific fine-tuningnot Databricks
  • Multi-modal document processing with OCRnot Databricks
  • Autonomous development with Vibe for Codenot 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

Mistral AI

  • Smaller model selection compared to OpenAI; Mistral Medium 3.5 significantly more expensive than competing mid-tier models
  • Batch processing only available at 50% discount, not free tier
  • No free tier; all API access requires payment

Pricing, plan by plan

Databricks

Free
  • Community EditionFree
    • Limited cluster
    • Notebook environment
    • Community support
  • Standard$0.07/DBU
    • Jobs compute
    • SQL compute
    • Standard support

Mistral AI

On request
  • Mistral Small 4$0.15/per million input tokens
    • Multimodal
    • Multilingual
    • Apache 2.0 license
  • Mistral Small 4 output$0.6/per million output tokens
    • Same model
  • Mistral Large 3$0.5/per million input tokens
    • General-purpose flagship
  • Mistral Large 3 output$1.5/per million output tokens
    • Same model

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.
Databricks review

Choose Mistral AI if

  • You work on Web, API, Self-hosted, Cloud (AWS, Google Cloud, Azure, SAP, IBM, Snowflake, NVIDIA, Outscale).
Mistral AI review

Questions people ask

Is Databricks or Mistral AI better?
Neither clearly leads. Databricks starts at Free and Mistral AI at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Databricks or Mistral AI?
Databricks has a free tier; the other does not. Paid plans start at Free for Databricks and On request for Mistral AI.
Does Databricks or Mistral AI run on more platforms?
Databricks runs on Web, Aws, Azure, Gcp. Mistral AI runs on Web, API, Self-hosted, Cloud (AWS, Google Cloud, Azure, SAP, IBM, Snowflake, NVIDIA, Outscale).
Can I use Databricks for free?
Yes. Databricks has a free tier, so you can try it without paying. Mistral AI starts at On request.
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 Mistral AI is typically brought in for.
What can Databricks do that Mistral AI cannot?
Databricks covers Delta Lake, Apache Spark, MLflow, Unity Catalog.
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