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Your data, any cloud, endless opportunities: The hybrid platform for the entire data lifecycle.
Cloudera offers a hybrid data and AI platform for global enterprises. With the Cloudera Data Platform (CDP), data can be securely managed, analyzed, and utilized for machine learning scenarios across multi-cloud and on-premises environments.
Independent B2B performance index (0–100 points). It is calculated mathematically and without subjective influence from four verified pillars: company stability, aggregated feedback from publicly available online sources, documented compliance certifications, and operational transparency.
Headquarters
5470 Great America Pkwy, 95054-3644 Santa Clara, United States
Employees
1600
Founded
2008
Management
Charles Sansbury
Cloudera is a global leader in hybrid data and AI platforms, helping organizations transform complex data assets into valuable insights. Founded in 2008 and headquartered in Santa Clara, California, the company employs approximately 1,600 people. The Cloudera Data Platform (CDP) enables enterprises to securely store, manage, and analyze data across on-premises, private cloud, and multi-cloud environments (such as AWS, Azure, and Google Cloud). The platform covers the entire data lifecycle—from real-time ingestion and data warehousing to machine learning and predictive analytics. Through deep integration of open-source technologies like Apache Hadoop, Spark, and Hive, alongside strict security and governance standards (including ISO 27001, SOC 2, and PCI DSS), Cloudera provides a highly scalable and compliant infrastructure for demanding enterprise applications.
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Performance & scalability of the data platform (Big Data/Hadoop/Spark)
Comprehensive features for data engineering, data warehousing & machine learning
Complexity & learning curve (usability, setup, administration)
Stability & reliability (cluster management, performance, security)
Customers predominantly view Cloudera as a powerful, scalable data platform that is particularly suited for big data workloads, complex data engineering, and analytical use cases in enterprise environments. Key strengths include its functional scope, performance, stability, and security. Conversely, its high complexity, steep learning curve, costs perceived as high or non-transparent, and inconsistent support experiences are cited as weaknesses. Cloudera is especially suitable for larger enterprises with experienced data teams requiring a centralized, company-wide data and analytics ecosystem with strong governance and compliance requirements; for smaller organizations lacking specialized expertise, the platform is often considered too complex and resource-intensive.
AI-generated summary
Cloudera continues to advance its hybrid platform strategy by integrating advanced AI capabilities and strategic partnerships. The company is expanding the Cloudera Data Platform (CDP) with optimized support for Apache Iceberg and new generative AI tools to target enterprise customers globally. By deepening alliances with leading cloud and hardware providers, the delivery of secure, scalable data solutions in multi-cloud environments is simplified. These innovations underscore Cloudera's focus on compliance, interoperability, and data-driven value creation for large global enterprises.
Source: Publicly available product updates or press releases from Cloudera.
Since no social media mentions or data on Cloudera were provided for this analysis, a detailed content evaluation is not possible. Consequently, no statements can be made regarding current trends, praise, criticism, or open questions. Due to the lack of a database, the sentiment is rated as neutral.
Source: Publicly available social media posts (X/Twitter, LinkedIn, Reddit) from the last 12 months. The opinions shown come from users and do not represent BenchTrust's assessment.
See Cloudera in action
Cloudera Account 360: New Self-Service Administrative Platform Demo