Machine Learning · head to head
Databricks vs Deepgram

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

Deepgram
AI
Voice AI API platform for speech-to-text, text-to-speech, and voice agents
- From
- Free
- Free plan
- Yes
The short version
- Each has a real cost: Databricks cloud compute is billed separately by the cloud provider on top of Databricks DBU charges; Deepgram pricing is entirely usage-based, so total cost can be harder to predict than flat subscription tools.
- They diverge on capability: Databricks covers Delta Lake, Deepgram covers Flux speech-to-text.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Databricks and Deepgram actually diverge.
| Attribute | Databricks | Deepgram |
|---|---|---|
| Platforms | Web, Aws, Azure, Gcp | web, api |
| Category | Machine Learning | AI |
| Founded | 2013 | Unknown |
Identical on both: starting price (Free), pricing model (usage-based), free tier (Yes), 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 Deepgram
- Flux speech-to-text
- Flux text-to-speech
- Voice Agent API
- Real-time and batch processing
- Self-hosted deployment
- Audio intelligence
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 Deepgram
- Building a lakehouse over data in cloud object storagenot Deepgram
- Training and serving machine learning models alongside the datanot Deepgram
Deepgram
- Building real-time voice agents for customer supportnot Databricks
- Transcribing recorded audio at scale via batch STTnot Databricks
- Adding conversational text-to-speech to voice applicationsnot Databricks
- Self-hosting speech models for data residency requirementsnot 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
Deepgram
- Pricing is entirely usage-based, so total cost can be harder to predict than flat subscription tools.
- The Growth plan requires a minimum $4K/year commitment to unlock discounted rates.
- Enterprise features and custom SLAs require a direct sales conversation rather than self-serve signup.
- Some promotional per-minute rates are time-limited, meaning long-term pricing may differ from current promotional rates.
Pricing, plan by plan
Databricks
Free- Community EditionFree
- Limited cluster
- Notebook environment
- Community support
- Standard$0.07/DBU
- Jobs compute
- SQL compute
- Standard support
Deepgram
Free- Pay As You Go$undefined/mo
- $200 free credit to start
- No minimums or expiration
- No credit card required to start
- Growth$undefined/mo
- Save up to 20% with annual pre-paid credits
- Minimum $4K/year commitment
- Credits applied against actual usage
- Enterprise$undefined/mo
- Custom pricing for large-scale deployments
- Dedicated support and contracts
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 Deepgram if
- You need flux speech-to-text.
- You want to start without paying.
- You work on web, api.
- You also want flux text-to-speech.
Questions people ask
- Is Databricks or Deepgram better?
- Neither clearly leads. Databricks starts at Free and Deepgram at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Databricks or Deepgram?
- Databricks starts at Free and Deepgram at Free.
- Does Databricks or Deepgram run on more platforms?
- Databricks runs on Web, Aws, Azure, Gcp. Deepgram runs on web, api.
- 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 Deepgram is typically brought in for.
- What can Databricks do that Deepgram cannot?
- Databricks covers Delta Lake, Apache Spark, MLflow, Unity Catalog. Deepgram covers Flux speech-to-text, Flux text-to-speech, Voice Agent API, Real-time and batch processing.
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.
SourceDeepgram: What does Deepgram cost?
Deepgram uses usage-based pricing starting with $200 in free credit, pay-as-you-go rates per minute or per character, a Growth plan with annual pre-paid credits requiring a $4K/year minimum, and custom Enterprise pricing.
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.
SourceDeepgram: Is there a free plan, and what are its limits?
New users get $200 of free credit with no credit card required, which can be applied to speech-to-text, text-to-speech, or voice agent usage before any payment is needed.
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.
SourceDeepgram: How is usage metered?
Usage is metered per minute of audio for speech-to-text and voice agent calls, and per 1,000 characters for text-to-speech, with add-ons like redaction and entity detection billed separately per minute.
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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- Deepgram vs Apache Spark MLlib
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- Deepgram vs ClearML
- Deepgram vs Cohere
- Deepgram vs BigQuery ML
- Deepgram vs Semantic Kernel
- Deepgram vs Cartesia
- Deepgram vs Resemble AI
- Deepgram vs Verbit
- Deepgram vs Veritone
- Deepgram vs Play.ht
- Deepgram vs You.com
- Deepgram vs ElevenLabs
- Deepgram vs LOVO
- Deepgram vs Rev
- Deepgram vs Murf
- Deepgram vs LangGraph
- Deepgram vs Gumloop
- Deepgram vs Poe
- Deepgram vs Poolside
- Deepgram vs QuillBot
- Deepgram vs RunPod
- Deepgram vs Voiceflow
