Comparison

Databricks vs Vertica

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
Vertica25
Score
Vioscale score
Databricks60 / 100low · 48%
Vertica25 / 100low · 14%
Pricing
Free tier
Databricks
Vertica
Model
Databrickscommercial
Verticacommercial
Price level
Databrickslow
Vertica
Transparent
Databricks
Vertica
Integrations
Count
Databricks6
Vertica
Security
Disclosure policy
Databricks
Vertica
Gdpr
Databricks
Vertica
Hipaa
Databricks
Vertica
Reliability
Status page
Databricks
Vertica
Market
Availability

Capabilities

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

Deployment
Deployment
DatabricksManaged cloud
VerticaHybrid
Architecture
Architecture
DatabricksSeparated storage/compute
VerticaCoupled MPP
Compute model
DatabricksServerless
VerticaClusters
Query
SQL dialect
DatabricksVendor-specific
VerticaVendor-specific
Federation / lakehouse query-in-place
Databricks-
Vertica-
Interoperability
Table-format support
DatabricksDelta, Iceberg
Vertica-
Scale
Concurrency scaling
DatabricksAutomatic
Vertica-
Ingestion
Streaming ingest
Databricks
Vertica
Data model
Semi-structured (JSON/VARIANT)
DatabricksFirst-class
VerticaFirst-class
Analytics
ML / in-DB functions
Databricks
Vertica
Sharing
Data sharing / marketplace
Databricks
Vertica-
Licensing
Licence class
DatabricksProprietary
VerticaProprietary

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

Vertica

A high-performance analytics platform built on columnar architecture and massively parallel processing that delivers real-time insights, machine learning, and fraud detection across on-premises, cloud, and hybrid deployments. Designed for enterprises to analyze massive volumes of data while maintaining flexibility in infrastructure choices.

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 ↗

Vertica

Pricing not documented yet.

Platform & deployment

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

Platforms
Web
Databricks
Vertica
Deployment
Cloud / SaaS
Databricks
Vertica
Self-hosted
Databricks
Vertica
On-premise
Databricks
Vertica
Hybrid
Databricks
Vertica

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

Vertica

Not documented yet.

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