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Rubrik extends data protection to Apache Iceberg tables on AWS
Rubrik extends data protection to Apache Iceberg tables on AWS Cloud data management and data security company Rubrik Inc. today announced Rubrik Apache Iceberg Protection, a backup and recovery capability for Apache Iceberg tables on Amazon Web Services Inc. The target is a gap Rubrik argues
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Rubrik Announces Rubrik Apache Iceberg Protection for Enterprise Data Protection Capability for Apache Iceberg on Amazon Web Services
Rubrik announced Rubrik Apache Iceberg Protection, the company?s enterprise data protection capability for Apache Iceberg on Amazon Web Services. The new solution expands Rubrik?s cloud data security and AI governance portfolio on Amazon Web Services. It provides customers running Apache Iceberg
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Rubrik unveiled its Apache Iceberg Protection solution for AWS, targeting a critical gap in data lake security. Unlike native snapshots that vanish when tables are deleted or corrupted by ransomware, Rubrik backs up both data and metadata, enabling instant recovery of queryable tables in Amazon Athena and Apache Spark.
Rubrik Inc. announced Rubrik Apache Iceberg Protection, a backup and recovery solution designed specifically for Apache Iceberg tables on Amazon Web Services
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. The cloud data management company targets a vulnerability that native tooling leaves exposed: when Iceberg tables are deleted, encrypted by ransomware, or overwritten by errant AI agents, the metadata pointers that define those tables disappear along with the data itself1
.Native Apache Iceberg snapshots function as metadata pointers rather than actual backups. This architecture creates a significant risk for organizations running mission-critical workloads on data lakes. When a cyber incident or operational error strikes, restoring the underlying files does not rebuild the catalog entry, forcing data teams to manually reconstruct table metadata before queries can run again
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. The result is extended downtime and potential data loss at a time when data lakes have evolved beyond analytics to power entire business operations.Rubrik Apache Iceberg Protection differentiates itself by backing up both the data files and the complete metadata that defines each table. During recovery, the solution automatically re-registers tables in the catalog, enabling analysts to query restored data immediately in Amazon Athena, Apache Spark, or Trino
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. Without this Iceberg-aware recovery capability, organizations face a set of disorganized Parquet files requiring manual repair before business operations can resume.The enterprise data protection solution covers Iceberg tables in the AWS Glue Data Catalog and Amazon Simple Storage Service or S3 tables
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. All backups are immutable wherever they land, protecting against ransomware attacks that attempt to encrypt or delete backup copies. Organizations choose whether to store these immutable backups within their own AWS account for complete data sovereignty or in the air-gapped Rubrik Cloud Vault2
. Rubrik positions this in-account option as unique among Iceberg-aware data protection offerings.After an initial full copy, Rubrik Apache Iceberg Protection captures only the latest compacted snapshots, maintaining manageable backup windows even as tables scale to petabyte size
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. This forever-incremental approach addresses a practical challenge for organizations running large-scale data lakes: backup operations that consume excessive time and resources can disrupt production workloads and create coverage gaps.Customers select the S3 storage class that fits their recovery time objectives and cost constraints, ensuring rarely accessed backup data does not incur premium storage rates
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. This flexibility matters for organizations managing petabyte-scale efficiency across distributed cloud-native workloads where storage costs compound quickly.Related Stories
The solution enables teams to take on-demand backups before executing high-risk operations such as schema changes or large batch writes
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. Restores can land on an isolated Iceberg branch, allowing data engineers to validate both data integrity and schema correctness before promoting tables back into production2
. This capability addresses operational risks that extend beyond cyber incidents, protecting against human error and AI agent mistakes that can corrupt production data.Anneka Gupta, chief product officer at Rubrik, emphasized the strategic importance: "Data lakes have grown beyond analytics and AI to now run the entire business, and Apache Iceberg is one of the most critical systems built on them." Gupta noted that while Rubrik has long protected the object storage underneath, the company now covers the lakehouse itself with consistent policies reaching databases, pipelines, and code
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.Rubrik Apache Iceberg Protection represents the latest expansion of Rubrik's platform into cloud-native workloads throughout 2026. The company introduced Cloud SQL protection and governance for Gemini agents at Google Cloud Next in April, and launched Agent Cloud last October to establish a control layer over enterprise AI agents
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. This trajectory signals Rubrik's strategy to extend data protection beyond traditional infrastructure into the emerging architectures where AI agents and lakehouse platforms handle increasingly sensitive business operations.
Source: SiliconANGLE
The solution will be generally available later this month
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. Organizations should watch how competitors respond to this Iceberg-specific offering, particularly as data lakes consolidate around open table formats. The emphasis on data sovereignty through in-account backup storage may influence regulatory compliance strategies for industries with strict data residency requirements. As AI agents gain autonomy over data operations, the ability to recover from AI-induced errors could become as critical as protection against external cyber incidents.Summarized by
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