Suggestions appear as you type. Use the up and down arrows to choose one and Enter to open it.

This page's audience our own tag's counts — open to see them
–Visits
–Page views
–Clicks to vendors
–Time on page
–Reading now
Clicks to vendors, by tool
  • –
Top countries
  • –
Devices
  • –

– · visits, page views and clicks counted by our own tag, which counts more than our checked analytics; every figure rounded down · how we count

Head-to-head · Data Lakehouse Platforms

Databricks Data Intelligence Platform vs Google Cloud Lakehouse for Apache Iceberg

  • Updated Oct 2026
  • Both researched from official sources
  • 5 checks side by side
Higher score Databricks Data Intelligence Platform #1 in Data Lakehouse Platforms 9.4/10 Free plan · 14-day trial Free planFree trial✓ 4 of 4 features Visit Databricks

Databricks Data Intelligence Platform leads on 1 check, Google Cloud Lakehouse for Apache Iceberg on 0, and 4 are even. Who comes out ahead on the 5 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreDatabricks Data Intelligence Platform · 9.4/10
  • Free planonly Databricks Data Intelligence Platform
  • Free trialonly Databricks Data Intelligence Platform

Databricks Data Intelligence Platform scores higher on our rubric for data lakehouse platforms: 9.4 against 8.5 out of 10; our editors rank them #1 and #6.

Databricks Data Intelligence Platform offers free plan; Google Cloud Lakehouse for Apache Iceberg doesn't.

Databricks Data Intelligence Platform is the better fit for broad enterprise lakehouse and AI workloads. Google Cloud Lakehouse for Apache Iceberg is the better fit for managed Iceberg on Google Cloud.

  • Databricks Data Intelligence Platform fits best

    Broad enterprise lakehouse and AI workloads

  • Google Cloud Lakehouse for Apache Iceberg fits best

    Managed Iceberg on Google Cloud

Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.

Side by side

Feature Databricks Data Intelligence Platform 9.4/10 Visit ↗ Google Cloud Lakehouse for Apache Iceberg 8.5/10 Visit ↗
At a glance
Editor score 9.4 8.5
Ranking #1 in Data Lakehouse Platforms #6 in Data Lakehouse Platforms
Best for Broad enterprise lakehouse and AI workloads Managed Iceberg on Google Cloud
Pricing model Free plan + paid Paid
Starting price Free plan · 14-day trial —
Free plan ✓ (best) —
Free trial 14 days —
Deployment Cloud Cloud
Platforms Web Web
Support Docs, Community Tickets, Community, Docs · 24/7
Compliance GDPR, HIPAA, PCI DSS, SSO/SAML, 2FA SOC 2, ISO 27001, GDPR, HIPAA
Integrations 8 integrations 13 integrations
Built for Mid-market, Enterprise Mid-market, Enterprise
Features Databricks Data Intelligence Platform 4/4 · Google Cloud Lakehouse for Apache Iceberg 4/4
SQL analytics ✓ ✓
ACID transactions ✓ ✓
Streaming ingestion ✓ ✓
Governance catalog ✓ ✓
Specs
Storage model Both Both
Table format support Both Both
Our review
Pros
  • Combines Delta Lake storage, SQL, batch, streaming, and ETL
  • Unity Catalog supports data and AI governance
  • Connects with Power BI, Tableau, Kafka, dbt Cloud, and Fivetran
  • Managed Iceberg tables with REST Catalog and BigQuery SQL
  • Interoperability with Spark, Flink, Hive, and Trino
  • Governance, CDC, automated maintenance, and federation features
Cons
  • Usage-based pricing varies by cloud, region, product, and contract
  • Its broad feature set may exceed the needs of narrow workloads
  • Paid costs are not represented by a single fixed monthly plan
  • No standalone free plan
  • Usage-based pricing spans several charge categories
  • Cross-cloud federation supports selected external catalogs
Our verdict

Databricks Data Intelligence Platform brings data engineering, SQL analytics, machine learning, AI applications, and governance into a cloud platform. It is designed for organizations that need to ingest and transform data, query lakehouse…

Read the review →

Google Cloud Lakehouse for Apache Iceberg is a managed lakehouse platform for analytical, transactional, streaming, and AI workloads built on open table formats. It is aimed at organizations that want managed Apache Iceberg tables, a…

Read the review →
  1. Databricks Data Intelligence PlatformData Lakehouse Platforms 9.4Free plan · 14-day trial
  2. Google Cloud Lakehouse for Apache IcebergData Lakehouse Platforms 8.5Paid

Strengths and trade-offs

  • Databricks Data Intelligence Platform — where it wins

    • Combines Delta Lake storage, SQL, batch, streaming, and ETL
    • Unity Catalog supports data and AI governance
    • Connects with Power BI, Tableau, Kafka, dbt Cloud, and Fivetran

    Where it doesn't

    • Usage-based pricing varies by cloud, region, product, and contract
    • Its broad feature set may exceed the needs of narrow workloads
    • Paid costs are not represented by a single fixed monthly plan
  • Google Cloud Lakehouse for Apache Iceberg — where it wins

    • Managed Iceberg tables with REST Catalog and BigQuery SQL
    • Interoperability with Spark, Flink, Hive, and Trino
    • Governance, CDC, automated maintenance, and federation features

    Where it doesn't

    • No standalone free plan
    • Usage-based pricing spans several charge categories
    • Cross-cloud federation supports selected external catalogs
  • Databricks Data Intelligence Platform9.4/10 · Free plan · 14-day trial

    A broad lakehouse platform for engineering, analytics, streaming, machine learning, and AI.

    Visit DatabricksFull verdict →
  • Google Cloud Lakehouse for Apache Iceberg8.5/10 · Paid

    A managed Iceberg lakehouse for Google Cloud teams using BigQuery and open engines.

    Visit Google CloudFull verdict →

More comparisons

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update