Cloudera Object Store is an on-premises/hybrid object storage layer for analytics and AI workloads that provides S3-compatible and Hadoop-compatible filesystem access to support mixed SQL, Spark, and machine-learning workloads.
Published May 16, 2026
No specific public roadmap dates for Object Store features were captured in the reviewed materials. Prospective customers should request roadmap information under NDA or as part of procurement discussions.
Cloudera Object Store is most often procured as part of a broader CDP deployment. Therefore, many review platforms contain platform-level CDP reviews rather than Object Store–specific reviews.
Public community discussions indicate that some organizations view Cloudera/CDP as a viable on-premises option and report using Ozone as an S3-compatible store in certain deployments. One commenter characterized Cloudera as a relatively straightforward on-prem platform option within the context of migration planning and noted Ozone’s S3 compatibility.
Recurring community concerns (platform-wide) include:
The vendor provides customer references and case studies naming organizations such as Deutsche Telekom and Vodafone. These assets are marketing-curated and should be validated for scope, methodology, and assumptions where quantified outcomes are presented.
Trade coverage reports that Vodafone Idea adopted Cloudera Object Store (Apache Ozone) to improve storage utilization and reduce costs, with motivation tied to public-cloud transfer costs. The report is narrative in nature; detailed baselines, metrics, and methodologies were not available in the excerpted coverage.
Critical evaluation: treat reported ROI and savings as directional and request supporting data and assumptions before relying on them for procurement decisions.
Commissioned TEI-style materials and vendor-commissioned financial spotlights reference potential server-count reductions and other economic impacts associated with adopting Ozone within CDP.
Critical evaluation: commissioned TEI analyses commonly use interview data and modeling assumptions supplied by customers and/or the vendor; procurement teams should request underlying assumptions, discount rates, labor rates, and attribution of benefits between specific platform components.
Some semi-official or vendor-affiliated posts describe benchmark testing (for example, TeraGen/TeraSort scenarios) and report modest performance differences under certain erasure-coding configurations. These posts can provide useful context but are not independent; buyers should seek reproducible test artifacts and perform their own benchmarking when possible.
Primary target: large enterprises running Cloudera CDP (especially CDP Private Cloud Base) that require a storage substrate for mixed workloads (SQL engines, Spark, ML, NiFi) and seek S3-like semantics without transferring data to a public cloud.
Positioning: the vendor describes the product as a storage foundation for analytics and AI in on-prem and hybrid environments and frames it as a migration path from HDFS.
Get a comprehensive analysis of Cloudera Object Store including market position, competitive landscape, adoption trends, and peer benchmarks.
Download full report →Organizations that do not run CDP or do not want the Cloudera platform footprint
Organizations needing a rapid proof-of-concept with minimal vendor gating
Organizations prioritizing cloud-managed lakehouse simplicity
Organizations that require publicly documented product-level security certifications
Organizations seeking a broad, general-purpose object store outside analytics
Cloudera Object Store is an on-premises/hybrid object storage layer for analytics and AI workloads; it is presented as a replacement or adjunct for HDFS in Cloudera Data Platform (CDP). It is based on Apache Ozone and provides two access models:
The vendor states it is intended to address:
Vendor assertions include the ability to scale to very large object counts, support for high-capacity nodes, and substantial storage-overhead reduction using erasure coding. These assertions are vendor-asserted and were not accompanied by independent benchmarking methodology on the main product materials reviewed for this report.