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Cloudera description
Cloudera provides a suite of software tools built on open-source technology for managing and analyzing very large datasets. This "enterprise data cloud" helps businesses uncover insights from complex data, enabling them to make better decisions and improve efficiency. Cloudera's tools cover data storage, processing, analytics, and security, all within a user-friendly platform.
Who is Cloudera best for
Cloudera's platform is best for large enterprises seeking to leverage data analytics and AI for improved decision-making and efficiency. We find that its comprehensive suite of tools covering data storage, processing, and analytics are particularly valuable, although some users mention concerns about high licensing costs.
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Great for large enterprises (1000+ employees) seeking robust data analytics & AI to improve decision-making & efficiency.
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Well-suited for data-intensive industries like finance, telecommunications, manufacturing, and the public sector.
Cloudera features
Supported Big data management and analytics: Provides a platform for managing and analyzing large datasets. |
Supported Data insights and discovery: Offers tools for uncovering insights from complex data. |
Supported Data storage and processing: Includes capabilities for data storage and processing. |
Supported Data analytics tools: Provides tools for data analytics. |
Supported Data security: Includes security features for protecting data. |
Supported User-friendly platform: Offers a user-friendly platform for data management. |
Supported Open source and open standards: Supports open-source technology and open standards. |
Cloudera reviews
We've summarised 38 Cloudera reviews (Cloudera G2 reviews) and summarised the main points below.
- Robust and scalable platform for managing and analyzing large datasets.
- User-friendly interface for managing Hadoop clusters and related services.
- Strong security features for protecting sensitive data.
- Active and supportive community for troubleshooting and knowledge sharing.
- Comprehensive suite of tools covering data storage, processing, and analytics.
- Lack of clear strategy and vision, chasing trends instead of focusing on core offerings.
- Technical support can be lacking, with slow response times and limited expertise.
- Documentation can be unclear and difficult to navigate.
- High licensing costs, especially for larger deployments.
- Limited free trial options for testing and evaluation.
Cloudera pricing
The commentary is based on 2 reviews from Cloudera G2 reviews.
We find that Cloudera's pricing can be a barrier for smaller projects, with users noting the cost of support services and the management console. However, some users appreciate the "freemium" model for initial exploration. While the cost may be justified for larger deployments with extensive needs, it's a factor to consider.
See the Cloudera pricing page.
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Cloudera has a free trial.
Develop, schedule, monitor, and debug data pipelines to streamline ETL processes quickly & securely.
Develop, schedule, monitor, and debug data pipelines to streamline ETL processes quickly & securely.
Deploy data warehouses with secure, self-service access to enterprise data.
Develop future-proof applications that deliver unparalleled scale, performance, and reliability.
Provide collaborative ML workspaces with secure, self-service access to enterprise data.
Easily manage clusters running Apache Spark, Hive, Impala, HBase, Phoenix, Kafka, Flink, and more.
A premium Data Hub service to ingest, transform and manage streaming data, powered by Apache NiFi.
Catalog, deploy, manage and monitor Apache NiFi data flow deployments and functions.
Catalog, deploy, manage and monitor Apache NiFi data flow deployments and functions.
Monitor and optimize CDP deployments across hybrid cloud.
Utilize private connections between CDP deployments and the CDP Control Plane
Deploying and managing traditional models, large language models (LLMs), and generative AI models with high performance, security, and scalability
Easy to use, auto-scaling Data Engineering, Data Warehouse, and Machine Learning Data Services that rely on CDP Private Cloud Base for HDFS, Ozone object storage, or select third party storage, with SDX technologies.
Easy to use, auto-scaling Data Engineering, Data Warehouse, and Machine Learning Data Services that rely on CDP Private Cloud Base for HDFS, Ozone object storage, or select third party storage, with SDX technologies.
Modernized data clusters built with modern open-source data management and analytics software. Powered by the Apache Iceberg open table format to handle large analytic datasets with reliability while built-in automations guarantee improved performance and productivity. Run against HDFS files stores, high-density Ozone object storage, or select third party storage, with SDX technologies.
Modernized data clusters built with modern open-source data management and analytics software. Powered by the Apache Iceberg open table format to handle large analytic datasets with reliability while built-in automations guarantee improved performance and productivity. Run against HDFS files stores, high-density Ozone object storage, or select third party storage, with SDX technologies.
Modernized data clusters built with modern open-source data management and analytics software. Powered by the Apache Iceberg open table format to handle large analytic datasets with reliability while built-in automations guarantee improved performance and productivity. Run against HDFS files stores, high-density Ozone object storage, or select third party storage, with SDX technologies.
Modernized data clusters built with modern open-source data management and analytics software. Powered by the Apache Iceberg open table format to handle large analytic datasets with reliability while built-in automations guarantee improved performance and productivity. Run against HDFS files stores, high-density Ozone object storage, or select third party storage, with SDX technologies.
Modernized data clusters built with modern open-source data management and analytics software. Powered by the Apache Iceberg open table format to handle large analytic datasets with reliability while built-in automations guarantee improved performance and productivity. Run against HDFS files stores, high-density Ozone object storage, or select third party storage, with SDX technologies.
Modernized data clusters built with modern open-source data management and analytics software. Powered by the Apache Iceberg open table format to handle large analytic datasets with reliability while built-in automations guarantee improved performance and productivity. Run against HDFS files stores, high-density Ozone object storage, or select third party storage, with SDX technologies.
Cloudera alternatives
cloudera vs Databricks Data Intelligence PlatformUnified data platform for analytics, AI, and data science.Read more
Cloudera FAQ
We find that Cloudera offers a comprehensive suite of data management and analytics tools, built on open-source technology. It empowers businesses to extract valuable insights from their data, improving decision-making and operational efficiency. We think it's particularly well-suited for large enterprises in data-heavy industries.
What is Cloudera and what does Cloudera do?
We find that Cloudera offers a comprehensive suite of data management and analytics tools, built on open-source technology. It empowers businesses to extract valuable insights from their data, improving decision-making and operational efficiency. We think it's particularly well-suited for large enterprises in data-heavy industries.
Cloudera integrates with various tools and technologies, including Apache Kafka, Apache Spark, and Apache Hive, to provide a comprehensive data management and analytics platform. It also supports open standards, allowing integration with other open-source and commercial tools.
How does Cloudera integrate with other tools?
Cloudera integrates with various tools and technologies, including Apache Kafka, Apache Spark, and Apache Hive, to provide a comprehensive data management and analytics platform. It also supports open standards, allowing integration with other open-source and commercial tools.
We find that Cloudera's main competitors include Databricks, Snowflake, Azure Synapse Analytics, and Google Cloud BigQuery. These platforms offer similar big data and analytics capabilities, catering to various business needs and budgets.
What the main competitors of Cloudera?
We find that Cloudera's main competitors include Databricks, Snowflake, Azure Synapse Analytics, and Google Cloud BigQuery. These platforms offer similar big data and analytics capabilities, catering to various business needs and budgets.
We find Cloudera to be a legitimate enterprise data cloud provider. They offer robust tools for big data management and analytics, though potential users should be aware of user feedback regarding support and documentation. Their strong presence on platforms like LinkedIn and G2 suggests an active and engaged user base.
Is Cloudera legit?
We find Cloudera to be a legitimate enterprise data cloud provider. They offer robust tools for big data management and analytics, though potential users should be aware of user feedback regarding support and documentation. Their strong presence on platforms like LinkedIn and G2 suggests an active and engaged user base.
Cloudera Data Platform (CDP) pricing varies by deployment model. CDP Public Cloud services are priced per Compute Credit Unit (CCU), ranging from $0.009 to $0.50 per CCU. CDP Private Cloud requires an annual subscription with pricing available upon request for several options. Some private cloud services have fixed costs, starting at $10,000.
How much does Cloudera cost?
Cloudera Data Platform (CDP) pricing varies by deployment model. CDP Public Cloud services are priced per Compute Credit Unit (CCU), ranging from $0.009 to $0.50 per CCU. CDP Private Cloud requires an annual subscription with pricing available upon request for several options. Some private cloud services have fixed costs, starting at $10,000.
Based on user reviews, Cloudera's customer service receives mixed feedback. While some praise the robust platform and helpful community, others express concerns about slow support responses and limited expertise. Potential customers should weigh these factors when considering Cloudera.
Is Cloudera customer service good?
Based on user reviews, Cloudera's customer service receives mixed feedback. While some praise the robust platform and helpful community, others express concerns about slow support responses and limited expertise. Potential customers should weigh these factors when considering Cloudera.
Reviewed by
Michal has worked at startups for many years and writes about topics relating to software selection and IT management. As a former consultant for Bain, a business advisory company, he also knows how to understand needs of any business and find solutions to its problems.
Tymon is a seasoned CTO who loves finding the perfect tools for any task. He recently headed up the tech department at Batmaid, a well-known Swiss company, where he managed about 60 software purchases, including CX, HR, Payroll, Marketing automation and various developer tools.
An AI tool that observes your work, finds inefficiencies, and suggests smarter ways to do things. Maybe you can use your tools better, automate tasks, or switch software.