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AnacondaBuild, secure, and operate AI on the models and infrastructure you choose.
vs
DatabricksUnified data, analytics and AI platform on an open lakehouse
Comparison · MLOps Platforms · weekly run Nov 2

Anaconda vs Databricks

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 5.1 for Anaconda, and ranks ahead in 89% of the answers that name both.

Choose Anaconda if…

  • You need a self-hosted or on-premises option
  • You need ISO/IEC 27001:2022 or SOC 2 Type 2 or PCI DSS or GDPR coverage

Choose Databricks if…

  • You want the brand AI engines rank higher (46.2 vs 5.1)
  • 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

AI visibility side by side

Latest weekly run · Nov 2

Metric Anaconda Databricks
Visibility score5.1%46.2%
Change vs last weekNewNew
Rank in MLOps Platforms#19#2
Share of voice1.7%7.6%
Mentions this run1151
Positive in AI answers—35%

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 2Anaconda 5%

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

Engine by engine

Databricks leads on 3 of 3 engines

ChatGPT
2.6%
43.3%
AI Mode
0%
51.1%
Perplexity
12.6%
44.1%
AnacondaDatabricks

Head to head in AI answers

9 engine answers name both brands

1Anaconda ranked higher
8Databricks ranked higher

Features, pricing & fit

DimensionAnacondaDatabricks
Pricing modelPer seat—
Entry priceFree; paid from $15 per seat / mo—
Free planYes—
DeploymentManaged cloud, self-hosted cloud, or on-premises. AI Artifacts are also available for air-gapped networks.Available across all major cloud providers
ComplianceISO/IEC 27001:2022, SOC 2 Type 2, PCI DSS, GDPRISO 27001, ISO 27017, ISO 27018, ISO 27701, SOC 1, SOC 2 Type II, SOC 3
SupportCommunity support, Priority support, Dedicated support with SLA commitments, Dedicated Slack/Teams channelTechnical support on request, Technical documentation
Founded20122013
HeadquartersAustin, Texas, United StatesSan Francisco, CA
Employees201–5005,000+
FundingSeries CRound at $60B valuation, including secondary sale
Best forEnterprises and builders that want to build, secure and run AI on their own models, tools and infrastructure, including regulated industries.Data engineering, data science, analytics and AI teams at startups and global enterprises

Plans side by side

Anaconda

Free$0
Starter$15user/month
Business$50user/month
CustomCustom
Anaconda pricing

Databricks

Pricing not available.

Pros and cons

Themes from the AI answers that mention each brand

Anaconda

Profile in progress.

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

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

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