Comparison

Apache Iceberg vs Databricks

No clear leader: Apache Iceberg (62.2) and Databricks (59.8) are within the 5-point margin; treat as a tie. The attribute-by-attribute breakdown below, with a source and date on every value, is the honest way to compare them.

Machine formatsJSONMarkdownGraphQLor send Accept: application/json
Apache Iceberg62
Databricks60
Score
Vioscale score
Apache Iceberg62 / 100medium · 56%
Databricks60 / 100low · 48%
Pricing
Free tier
Apache Iceberg
Databricks
Model
Apache Icebergopen_source
Databrickscommercial
Price level
Apache Icebergfree
Databrickslow
Transparent
Apache Iceberg
Databricks
Integrations
Count
Apache Iceberg20
Databricks6
Security
Disclosure policy
Apache Iceberg
Databricks
Scorecard
Apache Iceberg7.9
Databricks
Reliability
Status page
Apache Iceberg
Databricks
Adoption
Dependent repos
Apache Iceberg1
Databricks
Github stars
Apache Iceberg9,176
Databricks
Package downloads weekly
Apache Iceberg11,384,061
Databricks
Activity
Commits last 30d
Apache Iceberg100
Databricks
Release
Cadence days
Apache Iceberg50
Databricks
History
Apache Iceberg20 items
Databricks
License
Spdx
Apache IcebergApache-2.0
Databricks
Language
Primary
Apache IcebergJava
Databricks
Market
Availability
Apache Iceberg

Capabilities

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

Deployment
Deployment
Apache IcebergEmbedded
DatabricksManaged cloud
Architecture
Architecture
Apache Iceberg-
DatabricksSeparated storage/compute
Compute model
Apache Iceberg-
DatabricksServerless
Query
SQL dialect
Apache Iceberg-
DatabricksVendor-specific
Federation / lakehouse query-in-place
Apache Iceberg
Databricks-
Interoperability
Table-format support
Apache IcebergIceberg (Parquet, ORC, Avro, Puffin data files)
DatabricksDelta, Iceberg
Scale
Concurrency scaling
Apache IcebergAutomatic
DatabricksAutomatic
Ingestion
Streaming ingest
Apache Iceberg
Databricks
Data model
Semi-structured (JSON/VARIANT)
Apache IcebergFirst-class
DatabricksFirst-class
Analytics
ML / in-DB functions
Apache Iceberg-
Databricks
Sharing
Data sharing / marketplace
Apache Iceberg
Databricks
Licensing
Licence class
Apache IcebergPermissive OSS
DatabricksProprietary

What each one is

The product in its own terms, so the numbers below have context.

Apache Iceberg

Apache Iceberg is a table format that enables reliable, ACID-compliant SQL operations on big data. It allows multiple query engines—such as Spark, Trino, Flink, Hive, and Impala—to safely read and write the same tables concurrently, bringing traditional database semantics to analytics workloads.

Independently observed

Databricks

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

Pricing

List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.

Apache Iceberg

Open source

Open source, no licensing cost

as of verify ↗

Databricks

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 ↗

Platform & deployment

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

Platforms
Web
Apache Iceberg
Databricks
Deployment
Cloud / SaaS
Apache Iceberg
Databricks
Self-hosted
Apache Iceberg
Databricks

Integrations

What each product connects to. Counts come from the vendor's own integration directory where one exists.

Apache Iceberg

20 total
  • Spark
  • Trino
  • Presto
  • Flink
  • Hive
  • Impala
  • PyArrow
  • DuckDB
  • Polars
  • Pandas
  • Ray
  • Datafusion
  • BigQuery
  • SQLAlchemy
  • S3
  • GCS
  • Azure Data Lake Storage
  • Hadoop
  • Kerberos
  • Thrift
Independently observed

Databricks

6 total
  • Teams
  • Slack
  • Confluence
  • Power Platform
  • Copilot Studio
  • Zerobus
Independently observed

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