Google Cloud Lakehouse for Apache Iceberg vs IBM watsonx.data

Google Cloud Lakehouse for Apache Iceberg7.5Visit IBM watsonx.data7.1Visit

Higher score Google Cloud Lakehouse for Apache Iceberg #5 in Data Lakehouse Platforms 7.5/10 Paid ✓ 4 of 4 features Visit Google Cloud

vs

IBM watsonx.data #8 in Data Lakehouse Platforms 7.1/10 From $1 ✓ 4 of 4 features Try IBM watsonx.data

• Google Cloud Lakehouse for Apache Iceberg fits best

  Managed Iceberg on Google Cloud

• IBM watsonx.data fits best

  Hybrid lakehouse teams needing broad catalog support

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Side by side

Feature	Google Cloud Lakehouse for Apache Iceberg 7.5/10 Visit ↗	IBM watsonx.data 7.1/10 Visit ↗
At a glance
Editor score	7.5	7.1
Ranking	#5 in Data Lakehouse Platforms	#8 in Data Lakehouse Platforms
Best for	Managed Iceberg on Google Cloud	Hybrid lakehouse teams needing broad catalog support
Pricing model	Paid	Paid
Starting price	Not published	Not published
Free plan	—	—
Free trial	—	—
Deployment	Cloud	Cloud, Self-hosted
Platforms	Web	Web
Support	Tickets, Community, Docs · 24/7	Tickets, Community, Docs
Integrations	13 integrations	8 integrations
Built for	Mid-market, Enterprise	Mid-market, Enterprise
Features Google Cloud Lakehouse for Apache Iceberg 4/4 · IBM watsonx.data 4/4
SQL analytics	✓	✓
ACID transactions	✓	✓
Streaming ingestion	✓	✓
Governance catalog	✓	✓
Specs
Storage model	Both	Both
Table format support	Both	Open
Our review
Pros	Managed Iceberg tables with REST Catalog and BigQuery SQL Interoperability with Spark, Flink, Hive, and Trino Governance, CDC, automated maintenance, and federation features	Supports Presto, Spark, and Iceberg, Hive, Hudi and Delta Lake catalogs Provides ACID transactions, governance, access controls and lineage Runs across SaaS, BYOC, on-premises and self-hosted environments
Cons	No standalone free plan Usage-based pricing spans several charge categories Cross-cloud federation supports selected external catalogs	No free plan is available Pricing varies by deployment, region and resource configuration Streaming ingestion is experimental and not recommended for production
Our verdict	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 →	IBM watsonx.data is an open, hybrid data lakehouse platform for organizations connecting, querying, governing and optimizing data across cloud, multicloud, SaaS, client-managed VPC and on-premises environments. It separates compute,… Read the review →

Strengths and trade-offs

• 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

• IBM watsonx.data — where it wins

  • Supports Presto, Spark, and Iceberg, Hive, Hudi and Delta Lake catalogs
  • Provides ACID transactions, governance, access controls and lineage
  • Runs across SaaS, BYOC, on-premises and self-hosted environments

  Where it doesn't

  • No free plan is available
  • Pricing varies by deployment, region and resource configuration
  • Streaming ingestion is experimental and not recommended for production

• Google Cloud Lakehouse for Apache Iceberg7.5/10 · Paid

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

  Visit Google CloudFull verdict →
• IBM watsonx.data7.1/10 · From $1

  A broad hybrid lakehouse for teams working across open catalogs, clouds and deployments.

  Try IBM watsonx.dataFull verdict →