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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
We find that Cloudera is a strong choice for large enterprises seeking a comprehensive platform for managing and analyzing big data. User reviews highlight its robust scalability and user-friendly interface. However, be aware of potential concerns regarding technical support and pricing, especially for larger deployments. Consider Cloudera if you need a comprehensive suite of tools covering data storage, processing and analytics.
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Perfect for large enterprises (1000+ employees) needing a robust, scalable data platform for advanced analytics & AI/ML.
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Well-suited for data-intensive industries like finance, telecommunications, manufacturing, retail, and the public sector.
Cloudera features
Supported Apache Nifi: A real-time integrated data logistics and simple event processing platform. |
Supported Apache Kafka: A fast, scalable, fault-tolerant messaging system |
Supported Apache Knox Gateway: A secure entry point for Hadoop clusters. |
Supported Apache Kudu: Storage for use cases that require fast analytics on rapidly changing data. |
Supported Apache Livy: REST interface for Spark clusters. |
Supported Apache Oozie: The blueprint for enterprise Hadoop, including its original data storage and data processing layers. |
Supported Apache Orc: Column-oriented data storage format optimized for read operation. |
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 to entry for some. While there is a free tier, the cost for enterprise-level features and support seems expensive for smaller projects, even if considered fair for the value provided.
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 vs SnowflakeCloud data platform. Scales effortlessly. Simplifies data warehousing.Read more
Cloudera FAQ
We find that Cloudera offers a powerful suite of data management and analytics tools, built on open-source technologies like Hadoop. It helps large organizations analyze vast datasets, gain valuable insights, and improve decision-making. In our experience, it's a good option for enterprises needing robust data processing capabilities.
What is Cloudera and what does Cloudera do?
We find that Cloudera offers a powerful suite of data management and analytics tools, built on open-source technologies like Hadoop. It helps large organizations analyze vast datasets, gain valuable insights, and improve decision-making. In our experience, it's a good option for enterprises needing robust data processing capabilities.
Cloudera's platform integrates with various tools in the Hadoop ecosystem, including Apache Kafka, Apache Nifi, and Apache Spark. It also supports integrations with other business intelligence and data visualization tools. This allows for flexible data pipelines and comprehensive analysis.
How does Cloudera integrate with other tools?
Cloudera's platform integrates with various tools in the Hadoop ecosystem, including Apache Kafka, Apache Nifi, and Apache Spark. It also supports integrations with other business intelligence and data visualization tools. This allows for flexible data pipelines and comprehensive analysis.
We find that Cloudera's main competitors include Snowflake, Databricks, and Azure Synapse Analytics. These platforms offer similar data warehousing, analytics, and data science capabilities. Other alternatives like Google Cloud BigQuery also provide strong competition in the big data space.
What the main competitors of Cloudera?
We find that Cloudera's main competitors include Snowflake, Databricks, and Azure Synapse Analytics. These platforms offer similar data warehousing, analytics, and data science capabilities. Other alternatives like Google Cloud BigQuery also provide strong competition in the big data space.
We find Cloudera to be a legitimate enterprise data cloud provider. They offer robust tools for managing and analyzing large datasets. However, potential users should be aware of user feedback regarding support, documentation, and pricing.
Is Cloudera legit?
We find Cloudera to be a legitimate enterprise data cloud provider. They offer robust tools for managing and analyzing large datasets. However, potential users should be aware of user feedback regarding support, documentation, and pricing.
Cloudera Data Platform (CDP) pricing varies depending on the deployment model and services selected. CDP Public Cloud uses a consumption-based pricing model, generally priced per Compute Credit Unit (CCU). CDP Private Cloud requires an annual subscription, with some services having custom pricing. Contact Cloudera for detailed pricing information.
How much does Cloudera cost?
Cloudera Data Platform (CDP) pricing varies depending on the deployment model and services selected. CDP Public Cloud uses a consumption-based pricing model, generally priced per Compute Credit Unit (CCU). CDP Private Cloud requires an annual subscription, with some services having custom pricing. Contact Cloudera for detailed pricing information.
We find that Cloudera's customer service receives mixed reviews. While some users praise the robust platform and helpful community, others express concerns about slow support responses and documentation clarity. There are also comments about the company's overall strategy.
Is Cloudera customer service good?
We find that Cloudera's customer service receives mixed reviews. While some users praise the robust platform and helpful community, others express concerns about slow support responses and documentation clarity. There are also comments about the company's overall strategy.
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.