AWS Lake Formation vs Oracle Big Data Service

AWS Lake Formation9.4Visit Oracle Big Data Service8.1Visit

Higher score AWS Lake Formation #1 in Data Lake Software 9.4/10 Paid ✓ 4 of 4 features Visit site

vs

Oracle Big Data Service #8 in Data Lake Software 8.1/10 Paid ✓ 2 of 4 features Visit Oracle

• AWS Lake Formation fits best

  AWS-native governed data lakes

• Oracle Big Data Service fits best

  Oracle-centered Hadoop data lakes

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Side by side

Feature	AWS Lake Formation 9.4/10 Visit ↗	Oracle Big Data Service 8.1/10 Visit ↗
At a glance
Editor score	9.4	8.1
Ranking	#1 in Data Lake Software	#8 in Data Lake Software
Best for	AWS-native governed data lakes	Oracle-centered Hadoop data lakes
Pricing model	Paid	Paid
Starting price	Not checked yet	$0.02/unit usage-based
Free plan	—	—
Free trial	—	—
Deployment	Cloud	Cloud
Platforms	Web	Web
Support	Docs	Community, Docs
Integrations	9 integrations	9 integrations
Built for	Small business, Mid-market, Enterprise	Mid-market, Enterprise
Features AWS Lake Formation 4/4 · Oracle Big Data Service 2/4
Metadata catalog	✓	✓
Governance controls	✓	✓
Open table formats	✓ (best)	Not checked yet
Data sharing	✓ (best)	Not checked yet
Specs
Deployment model	Cloud	Cloud
Ingestion modes	Batch	Both
Query interface	Both	Both
Our review
Pros	Database, table, column, row, and cell-level access controls Cross-account and cross-organization data sharing with CloudTrail auditing Supports Iceberg, Hudi, and Delta Lake tables across AWS analytics services	Managed Hadoop provisioning with HDFS, Spark, Hive, Kafka, and Flink Ranger governance with fine-grained access control and auditing OCI integrations, SQL analysis, APIs, CLI, SDK, and JupyterHub
Cons	No free plan No fixed subscription plans or universal starting price Integrated services and some usage incur separate AWS charges	Paid service with no free plan Compute, storage, and Cloud SQL charges are billed separately Its core approach centers on Hadoop and Oracle Cloud services
Our verdict	AWS Lake Formation is a managed cloud service for building and governing data lakes on Amazon S3. It is designed for organizations that need centralized metadata, controlled access, auditing, and data sharing across AWS accounts,… Read the review →	Oracle Big Data Service is a managed cloud service for deploying Hadoop-based data lakes on Oracle Cloud Infrastructure. It is designed for organizations that need configurable clusters with HDFS, YARN, Hive, Spark, HBase, Kafka, Flink,… Read the review →

Strengths and trade-offs

• AWS Lake Formation — where it wins

  • Database, table, column, row, and cell-level access controls
  • Cross-account and cross-organization data sharing with CloudTrail auditing
  • Supports Iceberg, Hudi, and Delta Lake tables across AWS analytics services

  Where it doesn't

  • No free plan
  • No fixed subscription plans or universal starting price
  • Integrated services and some usage incur separate AWS charges

• Oracle Big Data Service — where it wins

  • Managed Hadoop provisioning with HDFS, Spark, Hive, Kafka, and Flink
  • Ranger governance with fine-grained access control and auditing
  • OCI integrations, SQL analysis, APIs, CLI, SDK, and JupyterHub

  Where it doesn't

  • Paid service with no free plan
  • Compute, storage, and Cloud SQL charges are billed separately
  • Its core approach centers on Hadoop and Oracle Cloud services

• AWS Lake Formation9.4/10 · Paid

  A deep AWS-native governance layer for organizations building managed data lakes on Amazon S3.

  Visit siteFull verdict →
• Oracle Big Data Service8.1/10 · Paid

  A strong Oracle-centered Hadoop lake service with usage-based pricing and broad ODH components.

  Visit OracleFull verdict →