HPE Data Fabric delivers robust data management with features like multi-tenancy, security, and ease of configuration. It supports high performance and unified analytics, making it a reliable choice for organizations looking to manage extensive data efficiently.



| Product | Mindshare (%) |
|---|---|
| HPE Data Fabric | 10.5% |
| Cloudera Distribution for Hadoop | 14.8% |
| Apache Spark | 13.6% |
| Other | 61.1% |
| Type | Title | Date | |
|---|---|---|---|
| Category | Hadoop | May 6, 2026 | Download |
| Product | Reviews, tips, and advice from real users | May 6, 2026 | Download |
| Comparison | HPE Data Fabric vs Apache Spark | May 6, 2026 | Download |
| Comparison | HPE Data Fabric vs Cloudera Distribution for Hadoop | May 6, 2026 | Download |
| Comparison | HPE Data Fabric vs Amazon EMR | May 6, 2026 | Download |
| Title | Rating | Mindshare | Recommending | |
|---|---|---|---|---|
| Apache Spark | 4.2 | 13.6% | 90% | 69 interviewsAdd to research |
| IBM Netezza Performance Server | 3.9 | 6.1% | 89% | 45 interviewsAdd to research |
| Company Size | Count |
|---|---|
| Small Business | 4 |
| Large Enterprise | 6 |
| Company Size | Count |
|---|---|
| Small Business | 43 |
| Midsize Enterprise | 26 |
| Large Enterprise | 69 |
HPE Data Fabric provides a comprehensive data management platform with clustered node distribution and no single point of failure, ensuring high availability. Its compatibility with MapR-DB and NFS functionality allows integration with existing systems. Although there are challenges with third-party tool compatibility and upgrades, it supports big data initiatives by acting as both a database and messaging layer. Users benefit from bundled ecosystem support and simplified administration, enhancing usability across multiple teams and locations.
What features make HPE Data Fabric valuable?Organizations in sectors such as finance, healthcare, and logistics use HPE Data Fabric to manage large volumes of data efficiently. Its role in supporting distributed processing and acting as a NoSQL storage solution enables these industries to leverage big data for enhanced operational insights and decision-making capabilities. The inclusion of AI tools further expands its utility, facilitating advanced data environments that are cost-effective and scalable for growing organizational demands.
HPE Data Fabric was previously known as MapR, MapR Data Platform.
Valence Health, Goodgame Studios, Pico, Terbium Labs, sovrn, Harte Hanks, Quantium, Razorsight, Novartis, Experian, Dentsu ix, Pontis Transitions, DataSong, Return Path, RAPP, HP
| Author info | Rating | Review Summary |
|---|---|---|
| Data architect at Banking Sector | 4.0 | I use HPE Ezmeral Data Fabric as a database for storing and processing data and find it to be a comprehensive platform with useful features. However, it lacks compatibility with some third-party tools, and integration can be challenging. |
| Regional Head of Data and Application Platform at a financial services firm with 10,001+ employees | 3.5 | I use HPE Ezmeral Data Fabric for large data storage, NoSQL, and messaging. While accessing it globally is convenient, upgrading is challenging. It's valuable but lacks cloud adaptability, though recent AI advancements may improve usability and return on investment. |
| Data architect at Banking Sector | 3.5 | I use HPE Ezmeral Data Fabric primarily to consolidate data into our data lake. I appreciate the administration features, but deployment speed could be improved, and I desire more support in future releases. ROI is emerging but not yet quantifiable. |
| CEO at Inosense | 4.0 | I used this for creating preview models and found model creation interesting, stable, scalable, and easy to set up. While API integration needed improvement, it's since been added. I rate it 8/10 and recommend it. |
| Founder at Chicago area Hadoop User Group (CHUG) | 4.5 | As an independent consultant, I value MapR's file system for superior stability, scalability, and security. While Kerberos support and HBase coprocessor limitations exist, its unique architecture provides significant advantages over other big data solutions. |
| Technical Architect at a tech services company with 10,001+ employees | 3.5 | I found MapR-DB a fast, stable NoSQL solution on MapR-FS, with good support and easy setup. However, I preferred HBase due to MapR-DB's vendor lock-in and extract cost. |
| Director at a tech services company with 51-200 employees | We value MapR for distributed Big Data computation, improving sensor data analysis and alerts. Yet, cryptic installations and scarce skilled resources increase costs. Defining objectives and a POC are crucial for success. | |
| Member of Technical Staff at a tech company with 51-200 employees | 4.0 | I've used this for three years, valuing its robust file system and HA for data analytics. Setup was easy, scaling well. I'd like improved auditing, encryption, and more third-party certifications. |