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SlateIndex
DatabricksUnified data, analytics and AI platform on an open lakehouse
vs
OpenSearchThe open engine for AI-powered search and observability
Comparison · Vector Databases · weekly run Nov 2

Databricks vs OpenSearch

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

The short answer

OpenSearch is the stronger AI pick in Vector Databases: it has a visibility score of 3.9 versus 1.4 for Databricks.

Choose Databricks if…

  • AI answers describe it more positively (35% vs 0% positive)
  • 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 OpenSearch if…

  • You want the brand AI engines rank higher (3.9 vs 1.4)
  • Strong general database popularity
  • Hybrid keyword-plus-semantic search with dense vectors
  • Suited to broader search, logging, analytics, and observability

AI visibility side by side

Latest weekly run · Nov 2

Metric Databricks OpenSearch
Visibility score1.4%3.9%
Change vs last weekNewNew
Rank in Vector Databases#22#16
Share of voice0.8%1.7%
Mentions this run48
Positive in AI answers35%0%

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 1%

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

Engine by engine

OpenSearch leads on 3 of 3 engines

ChatGPT
1.9%
3.9%
AI Mode
1.3%
3%
Perplexity
1.1%
4.8%
DatabricksOpenSearch

Head to head in AI answers

0 engine answers name both brands

0Databricks ranked higher
0OpenSearch ranked higher

Features, pricing & fit

DimensionDatabricksOpenSearch
DeploymentAvailable across all major cloud providersSelf-managed, or through Amazon OpenSearch Service and managed providers such as Aiven and Instaclustr. A Kubernetes operator is available for managing clusters.
ComplianceISO 27001, ISO 27017, ISO 27018, ISO 27701, SOC 1, SOC 2 Type II, SOC 3—
SupportTechnical support on request, Technical documentationCommunity forum, Slack, GitHub, Long-term support from certified providers
Founded20132021
HeadquartersSan Francisco, CASan Francisco, CA, United States
Employees5,000+51–200
FundingRound at $60B valuation, including secondary sale—
Best forData engineering, data science, analytics and AI teams at startups and global enterprisesOrganizations that want search, vector retrieval, and observability on open source software without vendor lock-in.

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

OpenSearch

  • Strong general database popularity
  • Hybrid keyword-plus-semantic search with dense vectors
  • Suited to broader search, logging, analytics, and observability

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

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