Cloudera Reviews & Product Details

Cloudera is the only hybrid data and AI platform company that large organizations trust to bring AI to their data anywhere it lives. Unlike other providers, Cloudera delivers a consistent cloud experience that converges public clouds, on-prem data centers, and the edge, leveraging a proven open-source foundation. As the pioneer in big data, Cloudera empowers businesses to apply AI and assert control over 100% of their data, in all forms, improving security, governance, and real-time and predictive insights. The world’s largest brands across all industries rely on Cloudera to transform decision-making and ultimately boost bottom lines, safeguard against threats, and save lives. Cloudera Anywhere Cloud™: Build and scale applications across any environment. The modular hybrid data and AI platform engineered for the agentic era empowers teams to deploy production-grade data and AI workloads across multi-cloud, on-premises, and sovereign environments while maintaining digital sovereignty. The Cloudera data and AI platform includes: Cloudera AI: Deploy and scale any AI model, anywhere. Cloudera brings compute to governed data where it lives for Private AI anywhere by design. Complete control, security, and governance of mission-critical data, models, agents, and inference ensure faster sovereign AI deployments. Cloudera Data-in-Motion: Make fast decisions from real-time data anywhere. Move data with any structure from any source to any destination seamlessly across hybrid environments, enabling in-the-moment business-critical decisions by processing and analyzing real-time data anywhere, from the edge to AI, as business happens. Cloudera Open Data Lakehouse: Process any data, anywhere, for actionable insights. Make smart decisions with an open data lakehouse powered by Apache Iceberg that delivers trusted, reliable, and unified data to fuel agents, AI applications, and analytics, improving collaboration, breaking silos, and simplifying sharing. Cloudera Unified Data Fabric: Unify security and governance across the entire data estate. Move beyond fragmented data management: Break down silos and connect disparate data sources intelligently and securely to provide a unified view of all organizational data and centralized end-to-end control across complex hybrid data environments.

Seller

Cloudera

Discussions

Cloudera Community

Solution Type

All-in-One

Overview by

Claire Dominy

Used by Cognizant and 2 others

Beta

Pricing

Pricing provided by Cloudera.

AI Inference

$0.25

1 CCU (Hourly rate)

View More Pricing Information

Cloudera Integrations

(60)

Verified by Cloudera

Show More Integrations

G2 reviews are authentic and verified.

Here's how.

Muhammad Hamza K.

Co-Founder and CMO

Marketing and Advertising

Enterprise (> 1000 emp.)

10/23/2026

"Cloudera Makes Big Data Manageable with Powerful All-in-One Tooling"

4.5/5

What do you like best about Cloudera?

What I like most about Cloudera is how it makes working with large volumes of data feel more manageable. Having multiple tools available within a single platform is really helpful, especially when I’m dealing with data coming from different sources. I also appreciate its integration with Apache Spark, Kafka, and other big data tools, since it makes it easier to build and connect data pipelines. Review collected by and hosted on G2.com.

What do you dislike about Cloudera?

One area I think could be improved is the user interface. Some sections aren’t very intuitive to navigate, especially when you’re using the platform for the first time. Setting up configurations and managing permissions can also feel a bit complicated, and it takes some time to figure out where everything is. Review collected by and hosted on G2.com.

What problems is Cloudera solving and how is that benefiting you?

Cloudera helps bring data from different sources together, making it easier to process and analyze everything in a single environment. Rather than managing separate tools for storage, processing, and monitoring, teams can take care of many of these tasks within the same platform, which simplifies day-to-day work and keeps things more organized. Review collected by and hosted on G2.com.

Zaid Z.

Data Scientist

Higher Education

Mid-Market (51-1000 emp.)

10/17/2026

"Robust Analytics at Scale with a Clear UI and Smooth Integrations"

4/5

What do you like best about Cloudera?

To analyze distributed, high-dimensional matrices, work with large feature stores, and benchmark our models’ performance through pipelines, we need infrastructure that won’t collapse under heavy analytical throughput. The Cloudera Manager web interface is laid out in a clear, convenient way, so our teams can quickly check active nodes in the cluster, memory allocation, and running jobs without getting lost in terminal flags.

Integration between our computation notebooks, shared object storage buckets, and visualization engines is straightforward, and it fits cleanly into our automated data-ingestion pathways. Distributed Impala and Spark queries over terabytes of experimental rows are fast enough for our needs, which helps us extract data quickly even when several labs are running at the same time. Workload monitoring in the platform also detects malformed data frames and cluster partitions before any distributed training is carried out. The initial walkthroughs we received helped our practitioners get started smoothly. Review collected by and hosted on G2.com.

What do you dislike about Cloudera?

Fine-tuning resource queues in YARN and administering security policies across different analytical teams isn’t an easy task without a platform engineer. Connecting specific high-frequency data streams to the cluster also runs into handshaking issues, especially during peak hours when batch processing is busy. The recommendations around cluster performance tend to focus more on generic server sizing than on optimizing machine learning workloads. On top of that, the occasional runtime exceptions are routed through slow ticketing queues, and the enterprise licensing is not something to take lightly. Review collected by and hosted on G2.com.

What problems is Cloudera solving and how is that benefiting you?

Previously, our group struggled with disconnected storage servers, untracked feature matrices, and pipeline crashes from out-of-memory conditions when parallel analytical scripts competed for local processing power. With Cloudera, our distributed feature sets, model-training registries, and benchmarking analytics are now centralized through the clear interface of Cloudera Manager. This gives our researchers a straightforward way to monitor job runs and cluster node status without needing to use the command line.

Native integration also works smoothly with our Python environments and cloud data buckets, so we can feed high-throughput data directly into Apache Spark and Impala without running into file-locking issues. Query performance has been extremely fast and reliable, even with terabytes of experimental data and the concurrent demands of day-to-day laboratory work.

In addition, the platform’s intelligent workload engine can detect skewed partitions and abnormal data frames before training cycles begin. Thanks to guided onboarding and dedicated technical assistance, our group was able to scale the infrastructure successfully and achieve a reliable operational return on investment by skipping unnecessary preprocessing steps and maintaining reproducibility across experiments. Review collected by and hosted on G2.com.

Tamado S.

Lead Data Engineer

Enterprise (> 1000 emp.)

9/2/2026

"Powerful Hybrid Big Data Platform, Though the UI and Pricing Could Improve"

3.5/5

What do you like best about Cloudera?

What I value most is having access to a stable, up-to-date big data stack that I can run on premises. I also like the flexibility to deploy the platform on premises, in a public cloud, or in a hybrid setup—whatever best fits the environment.

Cloudera data services, in particular, feels like a game changer. It enables users to quickly deploy warehouses, run data engineering jobs, build end-to-end machine learning pipelines, deploy ML models as API/web applications, and roll out LLMs as inference services for enterprise AI. On top of that, Cloudera support has been very helpful and generally responds quickly.

Cloudera is also easy to integrate with our customers existing stack, whether BI tools like Qlik and Tableau, or ETL like Talend and IBM DataStage. It's easy to setup connections from Hive/Impala to Talend for ETL purpose, and then connect them also to Qlik for dashboards. Review collected by and hosted on G2.com.

What do you dislike about Cloudera?

The UI can feel a bit clunky at times and doesn’t come across as very modern. Also, because it’s geared toward stability, integrating some cutting-edge tools with the Cloudera stack can be quite difficult. On top of that, a few of our customers have mentioned that the pricing feels on the higher side compared with competitors. Review collected by and hosted on G2.com.

What problems is Cloudera solving and how is that benefiting you?

We help implement Cloudera for data warehouse migration and modernization, big data initiatives, and Generative AI initiatives. For data warehouse modernization and big data initiatives, our customers benefit from a modern data lakehouse stack, improved performance, and reduced data silos by creating a single source of truth on top of Cloudera. With Cloudera data services, our customers can explore data faster and run ad-hoc reports more easily, powered by Cloudera Data Explorer and Impala on top of virtual warehouses. Cloudera AI also helps our customers get started with their Generative AI use cases, enabling them to quickly create LLM-powered apps without needing to manually set up infrastructure and security. Review collected by and hosted on G2.com.

Ahmad A.

Software Engineer

Mid-Market (51-1000 emp.)

10/7/2026

"Impressive Open Data Architecture That Unifies Multiple Sources for AI"

5/5

What do you like best about Cloudera?

I love its open data storage architecture, and the data preparation for AI is impressive. It gathers data from various sources into a single location, and I really appreciate how well it unifies data from multiple sources. It also provides access to source data for AI, and several aspects of the overall approach are particularly compelling. Review collected by and hosted on G2.com.

What do you dislike about Cloudera?

Optimizing performance can take some expertise, and troubleshooting may require a fair amount of effort. The interface can feel a bit complex at first, and I think the onboarding process would benefit from more guidance to help new users get started. Review collected by and hosted on G2.com.

What problems is Cloudera solving and how is that benefiting you?

Performance has improved, and it supports a wide range of analytical workloads. It helps me gather data from various sources and has made our workflow design much simpler. I’m able to analyze data more efficiently and spend less time on data preparation. It also helps us organize and process large volumes of data in a more structured way. Review collected by and hosted on G2.com.

Duane H.

Data Engineer

Mid-Market (51-1000 emp.)

10/13/2026

"Consistently Fast Analytics Performance with Flexible Storage and Integrations"

5/5

What do you like best about Cloudera?

The software enables very fast data processing and is well optimized for analytics workloads. It offers solid storage capacity and integrates smoothly with many other services. I can store data from virtually any file source, and I really like the unstructured data filtering features. Overall, it delivers consistently fast performance. Review collected by and hosted on G2.com.

What do you dislike about Cloudera?

It has limited integration with certain services, and it takes time to become familiar with all aspects of the tool. Integrating legacy systems can be difficult, and at times it fails to connect to storage. Review collected by and hosted on G2.com.

What problems is Cloudera solving and how is that benefiting you?

We frequently use it to store raw data, and it helps us manage and store large volumes efficiently. It allows us to keep vast amounts of information and supports a wide range of storage capacities. We also use it to maintain the right data in the warehouse, and the product continues to deliver constant innovation. Review collected by and hosted on G2.com.

Henry M.

Data Engineer

Mid-Market (51-1000 emp.)

10/9/2026

"Effortless Scaling for Large Datasets and Workloads"

5/5

What do you like best about Cloudera?

I love the platform’s scalable processing for large datasets because it helps me manage workloads efficiently. It makes it easier to handle large volumes of data and offers very straightforward scaling capabilities. Overall, I really appreciate how simple it is to scale when needed. Review collected by and hosted on G2.com.

What do you dislike about Cloudera?

The configuration can be confusing at times, and I occasionally run into cluster-related issues. Application logs aren’t easy to access or view, which makes troubleshooting harder. Scaling also isn’t always immediate and can be delayed. Review collected by and hosted on G2.com.

Verified User

Mid-Market (51-1000 emp.)

10/27/2026

"Powerful, Reliable Big Data Platform—Needs Stronger Governance Tools"

4.5/5

What do you like best about Cloudera?

I use Cloudera to analyze large-scale structured and unstructured data and support machine learning and AI use cases. I like that it’s highly performant, fault tolerant, highly available, and able to handle huge amounts of data. I use its big data platform to store and manage large datasets, including market, pricing, platform, client, and reference data. Its Hadoop distributed file system offers performance, fault tolerance, and scalability. Cloudera has an excellent track record, and I trust the platform to deliver results for sensitive applications. I also appreciate its excellent, up-to-date documentation, which helps us get started. We chose Cloudera because we needed enterprise-level support after using open-source Hadoop. Review collected by and hosted on G2.com.

What do you dislike about Cloudera?

I’d like Cloudera to have more data governance tools, including master data management and metadata management, integrated into its ecosystem. Review collected by and hosted on G2.com.

Verified User in Hospital & Health Care

Mid-Market (51-1000 emp.)

9/7/2026

"Amazing Cloudera Support Team When It Matters Most"

5/5

What do you like best about Cloudera?

The support team we get with Cloudera is amazing. I mean, they’re great people, and honestly they helped us out a bunch when we were knee-deep in trouble, so I really appreciate the support team. Review collected by and hosted on G2.com.

What do you dislike about Cloudera?

Cloudera upgrades can sometimes be complex because of dependencies between different services, parcels, Java versions, and configuration changes. Planning and validation are important to avoid impacting production workloads. Review collected by and hosted on G2.com.

What problems is Cloudera solving and how is that benefiting you?

Cloudera provides a centralized platform for managing and monitoring Hadoop clusters and services. It helps us manage components like HDFS, YARN, Hive, Kafka, Ranger, and ZooKeeper from a single interface, making cluster administration, monitoring, configuration management, and troubleshooting more efficient. It also helps us maintain cluster stability and identify issues before they significantly impact production workloads. Review collected by and hosted on G2.com.

Malvika S.

Enterprise (> 1000 emp.)

10/27/2026

Business partner of the seller or seller's competitor, not included in G2 scores.

"Cloudera: Powerful and Reliable Data Management Platform"

5/5

What do you like best about Cloudera?

Cloudera is a powerful and flexible platform that simplifies managing, processing, and analyzing large volumes of data. Its robust security, seamless data integration, and scalability make it a great choice for handling complex data workloads efficiently. Overall, Cloudera delivers excellent value by helping organizations streamline data operations, gain meaningful insights, and make data-driven decisions with confidence. Review collected by and hosted on G2.com.

What do you dislike about Cloudera?

While Cloudera offers powerful capabilities, simplifying the user interface and making configuration easier could further improve the overall user experience. Review collected by and hosted on G2.com.

mohan t.

Small-Business (50 or fewer emp.)

8/20/2026

"Streamlined Migration, Excellent Usability"

4/5

What do you like best about Cloudera?

I like that Cloudera allows organizations to leverage modern platforms to run legacy workloads, which helps in getting out of SAS licenses, hardware, and maintenance. I enjoy the idea of 'Cloudera anywhere,' where models can utilize Cloudera data anywhere after migrating from SAS. The initial setup was very easy, which is a big plus for me. Review collected by and hosted on G2.com.

What do you dislike about Cloudera?

I feel like Cloudera is a bit late in the AI and unified data market. Other tech companies had oriented themselves towards these areas a few years earlier than Cloudera did. Review collected by and hosted on G2.com.