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SlateIndex
DatabricksUnified data, analytics and AI platform on an open lakehouse
vs
Evidently AIOpen-source AI evaluation and observability
Comparison · MLOps Platforms · weekly run Nov 2

Databricks vs Evidently AI

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 MLOps Platforms: it has a visibility score of 46.2 versus 2.4 for Evidently AI, and ranks ahead in 75% of the answers that name both.

Choose Databricks if…

  • You want the brand AI engines rank higher (46.2 vs 2.4)
  • You need ISO 27001 or ISO 27017 or ISO 27018 or ISO 27701 or SOC 1 or SOC 2 Type II or SOC 3 coverage
  • You prefer a larger, established vendor (5,000+ employees)
  • Lakehouse architecture combining data warehousing with data lake flexibility

Choose Evidently AI if…

  • AI answers describe it more positively (50% vs 35% positive)
  • Listed as a monitoring option in vendor-neutral ML stacks
  • Named alongside Prometheus and Grafana in monitoring setups
  • Grouped with Arize and WhyLabs as a monitoring tool

AI visibility side by side

Latest weekly run · Nov 2

Metric Databricks Evidently AI
Visibility score46.2%2.4%
Change vs last weekNewNew
Rank in MLOps Platforms#2#25
Share of voice7.6%0.9%
Mentions this run517
Positive in AI answers35%50%

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 2Databricks 46%

Databricks 0pp · Evidently AI 0pp over 0 weekly runs.

Engine by engine

Databricks leads on 3 of 3 engines

ChatGPT
43.3%
5.4%
AI Mode
51.1%
0%
Perplexity
44.1%
1.9%
DatabricksEvidently AI

Head to head in AI answers

4 engine answers name both brands

3Databricks ranked higher
1Evidently AI ranked higher

Features, pricing & fit

DimensionDatabricksEvidently AI
DeploymentAvailable across all major cloud providersThe open-source version runs on the customer's own infrastructure; Evidently Cloud runs on managed infrastructure.
ComplianceISO 27001, ISO 27017, ISO 27018, ISO 27701, SOC 1, SOC 2 Type II, SOC 3—
SupportTechnical support on request, Technical documentation—
Founded20132020
HeadquartersSan Francisco, CASan Francisco, CA, United States
Employees5,000+1–10
FundingRound at $60B valuation, including secondary saleSeed · $1M raised
Best forData engineering, data science, analytics and AI teams at startups and global enterprisesAI and ML teams that want open-source evaluation, testing and monitoring for LLM applications and predictive models.

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

Evidently AI

  • Listed as a monitoring option in vendor-neutral ML stacks
  • Named alongside Prometheus and Grafana in monitoring setups
  • Grouped with Arize and WhyLabs as a monitoring tool

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

    Cite as: SlateIndex, “Databricks vs Evidently AI”, https://slateindex.ai/compare/databricks-vs-evidently-ai, data of Nov 2, 2026. Licence: CC BY 4.0.