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Databricks vs Replicate

Databricks logo

Databricks

Software

Unified analytics platform for data engineering and data science

From
Free
Rated
-
Full reviewWebsite
Replicate logo

Replicate

Software

Run AI models in the cloud

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Databricks cloud compute is billed separately by the cloud provider on top of Databricks DBU charges; Replicate private model deployments are billed for all the time instances are online, including setup and idle time, not only for processing
  • They diverge on capability: Databricks covers Delta Lake, Replicate covers Model hosting.

Where they differ

Only the attributes on which Databricks and Replicate actually diverge.

Attributes where Databricks and Replicate differ
AttributeDatabricksReplicate
PlatformsWeb, Aws, Azure, GcpApi, Cloud
Founded20132019

Identical on both: starting price (Free), pricing model (usage-based), free tier (Yes), 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
  • AWS
  • Azure

Only in Replicate

  • Model hosting
  • Simple API
  • Custom models
  • REST API
  • Python client
  • JavaScript client
  • Api support
  • Cloud support

Both cover

  • Auto-scaling

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

Replicate

  • Running open source machine learning models through a hosted API without managing GPUsnot Databricks
  • Deploying and serving a custom or fine tuned model on rented GPU hardwarenot Databricks
  • Per second billed batch image, video and language model inferencenot 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

Replicate

  • Private model deployments are billed for all the time instances are online, including setup and idle time, not only for processing
  • Multi-GPU A100, H100, H200 and L40S capacity beyond the listed configurations is only available with a committed spend contract
  • The pricing page publishes no free tier allowance

Pricing, plan by plan

Databricks

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

Replicate

Free
  • FreeFree
    • Limited free credits
    • Public models
  • Pay-per-use$0.000225/per-second
    • All models
    • Private models

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 Replicate if

  • You need model hosting.
  • You want to start without paying.
  • You work on Api, Cloud.
  • You also want simple api.
Replicate review

Questions people ask

Is Databricks or Replicate better?
Neither clearly leads. Databricks starts at Free and Replicate at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Databricks or Replicate?
Databricks starts at Free and Replicate at Free.
Does Databricks or Replicate run on more platforms?
Databricks runs on Web, Aws, Azure, Gcp. Replicate runs on Api, Cloud.
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 Replicate is typically brought in for.
What can Databricks do that Replicate cannot?
Databricks covers Delta Lake, Apache Spark, MLflow, Unity Catalog. Replicate covers Model hosting, Simple API, Custom models, REST API. Both handle Auto-scaling.
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