Machine Learning · head to head
Databricks vs Grow

Databricks
Machine Learning
Unified analytics platform for data engineering and data science
- From
- Free
- Rated
- -
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; Grow the pricing URL serves marketing content with no plan, rate, minimum or cost driver published anywhere on it
- They diverge on capability: Databricks covers Delta Lake, Grow covers No-code Setup.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Databricks and Grow actually diverge.
| Attribute | Databricks | Grow |
|---|---|---|
| Starting price | Free | $500/month |
| Pricing model | usage-based | subscription |
| Free tier | Yes | No |
| Platforms | Web, Aws, Azure, Gcp | Web, Mobile, Tv |
| Category | Machine Learning | Business Intelligence |
| Founded | 2013 | 2014 |
Identical on both: user rating (Not yet rated).
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 Grow
- No-code Setup
- Unlimited Dashboards
- Data Blending
- Alerts
- Embedding
- Salesforce
- HubSpot
- QuickBooks
Both cover
- Web support
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 Grow
- Building a lakehouse over data in cloud object storagenot Grow
- Training and serving machine learning models alongside the datanot Grow
Grow
- No-code dashboards and business intelligence for teams without analystsnot Databricks
- Blending data from more than 100 sources including BigQuery, PostgreSQL, Salesforce and HubSpotnot Databricks
- ETL, warehousing and visualisation in a single platformnot 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
Grow
- The pricing URL serves marketing content with no plan, rate, minimum or cost driver published anywhere on it
- The only calls to action are Get Started Now and Watch Demo; there is no self-serve rate card
- The vendor advertises unlimited users with no per-seat charges, which means the price driver is not disclosed at all
Pricing, plan by plan
Databricks
Free- Community EditionFree
- Limited cluster
- Notebook environment
- Community support
- Standard$0.07/DBU
- Jobs compute
- SQL compute
- Standard support
Grow
$500/month- Starter$500/month
- Unlimited Users
- 75+ Integrations
- Support
- Pro$1000/month
- Advanced Features
- Custom Integrations
- Training
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 Grow if
- You need no-code setup.
- You work on Web, Mobile, Tv.
- You also want unlimited dashboards.
Questions people ask
- Is Databricks or Grow better?
- Neither clearly leads. Databricks starts at Free and Grow at $500/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Databricks or Grow?
- Databricks has a free tier; the other does not. Paid plans start at Free for Databricks and $500/month for Grow.
- Does Databricks or Grow run on more platforms?
- Databricks runs on Web, Aws, Azure, Gcp. Grow runs on Web, Mobile, Tv.
- Can I use Databricks for free?
- Yes. Databricks has a free tier, so you can try it without paying. Grow starts at $500/month.
- 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 Grow is typically brought in for.
- What can Databricks do that Grow cannot?
- Databricks covers Delta Lake, Apache Spark, MLflow, Unity Catalog. Grow covers No-code Setup, Unlimited Dashboards, Data Blending, Alerts. Both handle Web support.
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.
SourceGrow: How much does Grow cost?
Grow does not publish pricing on their website. They offer a request-a-free-trial model that requires contacting their sales team. Pricing is determined by contacting sales through their contact form or trial request process.
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.
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
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- Databricks vs DashThis
- Databricks vs Yellowfin
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- Databricks vs Zenlytic
- Databricks vs ThoughtSpot
- Databricks vs Cube
- Databricks vs Pigment
- Grow vs AWS SageMaker
- Grow vs Google Vertex AI
- Grow vs Azure Machine Learning
- Grow vs DataRobot
- Grow vs TensorFlow
- Grow vs SAS
- Grow vs Snowflake
- Grow vs Apache Spark MLlib
- Grow vs Alteryx
- Grow vs IBM SPSS
- Grow vs Palantir Foundry
- Grow vs BentoML
- Grow vs ClearML
- Grow vs Cohere
- Grow vs Dask
- Grow vs Fal AI
- Grow vs BigQuery ML
- Grow vs Power BI
- Grow vs Sisense
- Grow vs Amazon QuickSight
- Grow vs MicroStrategy
- Grow vs Klipfolio
- Grow vs Cyfe
- Grow vs Hex
- Grow vs Databox
- Grow vs Rill Data
- Grow vs Deepnote
- Grow vs Zoho Analytics
- Grow vs DashThis
- Grow vs Yellowfin
- Grow vs Zebra BI
- Grow vs Zenlytic
- Grow vs ThoughtSpot
- Grow vs Cube
- Grow vs Pigment

