Databricks Data Intelligence Platform vs Apache Zeppelin

Databricks Data Intelligence Platform8.9Visit Apache Zeppelin8.6Visit

Higher score Databricks Data Intelligence Platform #4 in Data Science Analytics 8.9/10 Free plan · 14-day trial Free planFree trial✓ 0 of 5 features Visit Databricks

vs

Apache Zeppelin #7 in Data Science Analytics 8.6/10 Open source ✓ 1 of 5 features Try Apache Zeppelin

• Databricks Data Intelligence Platform fits best

  Teams unifying lakehouse analytics and machine learning

• Apache Zeppelin fits best

  Teams using Spark and interactive notebooks

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Side by side

Feature	Databricks Data Intelligence Platform 8.9/10 Visit ↗	Apache Zeppelin 8.6/10 Visit ↗
At a glance
Editor score	8.9	8.6
Ranking	#4 in Data Science Analytics	#7 in Data Science Analytics
Best for	Teams unifying lakehouse analytics and machine learning	Teams using Spark and interactive notebooks
Pricing model	Free plan + paid	Free
Starting price	Free plan · 14-day trial	Open source
Free plan	✓ (best)	Not checked yet
Free trial	14 days	—
Deployment	Cloud	Self-hosted
Platforms	Web	Web, macOS, Linux
Support	Docs, Community	Community, Docs
Integrations	8 integrations	14 integrations
Built for	Mid-market, Enterprise	Small business, Mid-market, Enterprise
Features Databricks Data Intelligence Platform 0/5 · Apache Zeppelin 1/5
AutoML	Not checked yet	Not checked yet
Model deployment	Not checked yet	Not checked yet
GPU compute	Not checked yet	✓ (best)
SQL workspace	Not checked yet	Not checked yet
Dashboarding	Not checked yet	Not checked yet
Specs
Deployment model	Not checked yet	Not checked yet
Primary interface	Not checked yet	Not checked yet
Our review
Pros	Combines Delta Lake storage with Apache Spark batch and streaming processing. Unity Catalog provides data and AI governance across workloads. Connects with tools including dbt Cloud, Power BI, Tableau, and Kafka.	Built-in Spark integration plus pluggable language and data interpreters Real-time collaboration, notebook sharing, and Git-based versioning REST API and Kubernetes interpreter pods with optional GPU requests
Cons	Usage-based pricing varies by cloud, region, product, and contract. Its broad scope may exceed the needs of teams seeking a focused analytics tool. Cloud deployment only, with docs and community as listed support channels.	Self-hosted deployment means teams manage their own environment Notebook workflows may not suit teams seeking end-to-end model lifecycle tools Support is through community and documentation
Our verdict	Databricks Data Intelligence Platform brings data engineering, SQL analytics, machine learning, AI applications, and governance together in a cloud lakehouse environment. Teams can store data with Delta Lake, process batch and streaming… Read the review →	Apache Zeppelin is a self-hosted, web-based notebook for interactive data analytics, visualization, and collaboration. It is aimed at teams that work in Spark and other notebook-based environments, from small groups to enterprise teams.… Read the review →

Strengths and trade-offs

• Databricks Data Intelligence Platform — where it wins

  • Combines Delta Lake storage with Apache Spark batch and streaming processing.
  • Unity Catalog provides data and AI governance across workloads.
  • Connects with tools including dbt Cloud, Power BI, Tableau, and Kafka.

  Where it doesn't

  • Usage-based pricing varies by cloud, region, product, and contract.
  • Its broad scope may exceed the needs of teams seeking a focused analytics tool.
  • Cloud deployment only, with docs and community as listed support channels.

• Apache Zeppelin — where it wins

  • Built-in Spark integration plus pluggable language and data interpreters
  • Real-time collaboration, notebook sharing, and Git-based versioning
  • REST API and Kubernetes interpreter pods with optional GPU requests

  Where it doesn't

  • Self-hosted deployment means teams manage their own environment
  • Notebook workflows may not suit teams seeking end-to-end model lifecycle tools
  • Support is through community and documentation

• Databricks Data Intelligence Platform8.9/10 · Free plan · 14-day trial

  A broad lakehouse platform for teams joining data engineering, SQL analytics, and machine learning.

  Visit DatabricksFull verdict →
• Apache Zeppelin8.6/10 · Open source

  A self-hosted notebook for teams working with Spark, interpreters, and shared analysis.

  Try Apache ZeppelinFull verdict →