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DatabricksUnified data, analytics and AI platform on an open lakehouse
vs
TeradataTurn intelligence into autonomous action
Comparison · Data Warehouse · weekly run Nov 3

Databricks vs Teradata

Which one do AI engines recommend, and how do they differ on price, fit and features?

The short answer

Databricks is the stronger AI pick in Data Warehouse: it has a visibility score of 37.9 versus 5.7 for Teradata, and ranks ahead in 100% of the answers that name both.

Choose Databricks if…

  • You want the brand AI engines rank higher (37.9 vs 5.7)
  • You need ISO 27001 or ISO 27017 or ISO 27018 or ISO 27701 or SOC 1 or SOC 3 coverage
  • Lakehouse architecture combining data warehousing with data lake flexibility
  • Strong for machine learning, AI, and data engineering workloads

Choose Teradata if…

  • AI answers describe it more positively (36% vs 35% positive)
  • You need a self-hosted or on-premises option
  • You need TX-RAMP or ISO/IEC 27001:2022 or IRAP PROTECTED or FedRAMP Ready at Moderate impact level on AWS coverage
  • Suited to large, highly regulated enterprise environments

AI visibility side by side

Latest weekly run · Nov 3

Metric Databricks Teradata
Visibility score37.9%5.7%
Change vs last weekNewNew
Rank in Data Warehouse#4#16
Share of voice9.3%2.5%
Mentions this run5214
Positive in AI answers35%36%

The stronger value in each row is marked with a ✓.

Visibility score trend

Weekly runs over the last 60 days

0%25%50%75%100%Nov 3Databricks 38%

Databricks 0pp · Teradata 0pp over 0 weekly runs.

Engine by engine

Databricks leads on 3 of 3 engines

ChatGPT
46.1%
3.5%
AI Mode
35.4%
5.9%
Perplexity
32.2%
7.6%
DatabricksTeradata

Head to head in AI answers

13 engine answers name both brands

13Databricks ranked higher
0Teradata ranked higher

Features, pricing & fit

DimensionDatabricksTeradata
DeploymentAvailable across all major cloud providersCloud, on-premises and hybrid
ComplianceISO 27001, ISO 27017, ISO 27018, ISO 27701, SOC 1, SOC 2 Type II, SOC 3SOC 2 Type II, TX-RAMP, ISO/IEC 27001:2022, IRAP PROTECTED, FedRAMP Ready at Moderate impact level on AWS
SupportTechnical support on request, Technical documentation—
Founded20131979
HeadquartersSan Francisco, CASan Diego, California
Employees5,000+5,000+
FundingRound at $60B valuation, including secondary sale—
Best forData engineering, data science, analytics and AI teams at startups and global enterprises—

Pros and cons

Themes from the AI answers that mention each brand

Databricks

  • Lakehouse architecture combining data warehousing with data lake flexibility
  • Strong for machine learning, AI, and data engineering workloads
  • Top customer satisfaction ratings alongside Snowflake
  • Free trial and free Edition for learning
  • Discounts for annual prepaid commitments
  • Complex consumption-based pricing with no single fixed price
  • Best only when ML, Spark, or Python skills are central to the team

Teradata

  • Suited to large, highly regulated enterprise environments
  • Mature SQL workload management and hybrid deployment options
  • Strong for complex, governed enterprise workloads
  • Good fit for modernizing existing Teradata environments
  • High PeerSpot enterprise-warehouse rating

    Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run

    Cite as: SlateIndex, “Databricks vs Teradata”, https://slateindex.ai/compare/databricks-vs-teradata, data of Nov 3, 2026. Licence: CC BY 4.0.