Comparison

Databricks vs Presto

On the evidence we track, Databricks leads this comparison with a composite score of 60/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.

Machine formatsJSONMarkdownGraphQLor send Accept: application/json
Databricks60
Presto55
Score
Vioscale score
Databricks60 / 100low · 48%updating
Presto55 / 100low · 33%updating
Pricing
Free tier
Databricks
Presto
Model
Databrickscommercial
Price level
Databrickslow
Prestofree
Transparent
Databricks
Presto
Integrations
Count
Databricks6
Presto
Reliability
Status page
Databricks
Presto
Adoption
Dependent repos
Databricks
Presto441
Github stars
Databricks
Presto16,724
Activity
Commits last 30d
Databricks
Presto100
Release
Cadence days
Databricks
Presto47
History
Databricks
Presto17 items
License
Spdx
Databricks
Language
Primary
Databricks
PrestoJava
Market
Availability

Capabilities

Feature-by-feature on the axes that matter for data warehouse software. “-” means undocumented, not absent.

Deployment
Deployment
DatabricksManaged cloud
PrestoSelf-hosted
Architecture
Architecture
DatabricksSeparated storage/compute
PrestoSeparated storage/compute
Compute model
DatabricksServerless
Presto-
Query
SQL dialect
DatabricksVendor-specific
PrestoANSI SQL
Federation / lakehouse query-in-place
Databricks-
Presto
Interoperability
Table-format support
DatabricksDelta, Iceberg
Presto-
Scale
Concurrency scaling
DatabricksAutomatic
Presto-
Ingestion
Streaming ingest
Databricks
Presto-
Data model
Semi-structured (JSON/VARIANT)
DatabricksFirst-class
PrestoFunctional
Analytics
ML / in-DB functions
Databricks
Presto-
Sharing
Data sharing / marketplace
Databricks
Presto-
Licensing
Licence class
DatabricksProprietary
PrestoPermissive OSS

What each one is

The product in its own terms, so the numbers below have context.

Databricks

Leader

Databricks is a unified data, analytics, and AI platform for enterprises that combines data warehousing, machine learning, and AI agent capabilities through its lakehouse architecture and serverless Postgres offering (Lakebase).

Independently observed

Presto

The fastest open-source SQL query engine for modern data analytics at scale. Enables querying massive datasets across multiple data sources with sub-second performance.

Independently observed

Pricing

List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.

Databricks

Leader
from $0.07/moUsage-basedFree tier

Pay-as-you-go usage-based pricing from $0.069 / DBU or CU per second. Committed Use Contracts available for volume discounts. Free tier available.

  • Data EngineeringFrom $0.15 / DBU per second
    • Orchestrate data processing
    • Build streaming and batch pipelines
    • Ingest data from multiple sources
  • Data WarehousingFrom $0.22 / DBU per second
    • SQL analytics
    • BI reporting
    • Available in Classic and Serverless compute
  • Interactive WorkloadsFrom $0.40 / DBU per second
    • Data science workloads
    • Build custom applications
    • Security and governance
  • Operational DatabaseFrom $0.069 / CU per second
    • Postgres database
    • Data and feature serving
  • Artificial IntelligenceFrom $0.07 / DBU per second
    • GenAI applications
    • Model Serving
    • AI Functions
    • Model Training
  • GenieFree
    • Natural language Q&A
    • AI Coding Assistant
    • Enterprise Knowledge access
as of verify ↗

Presto

Open sourceFree tier

Free and open source

as of verify ↗

Platform & deployment

Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.

Platforms
Web
Databricks
Presto
Deployment
Cloud / SaaS
Databricks
Presto
Self-hosted
Databricks
Presto

Integrations

What each product connects to. Counts come from the vendor's own integration directory where one exists.

Databricks

Leader
6 total
  • Teams
  • Slack
  • Confluence
  • Power Platform
  • Copilot Studio
  • Zerobus
Independently observed

Presto

Not documented yet.

Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.