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Cloudera Operational DB

Relational or NoSQL, structured or unstructured, Operational DB
delivers insights at the speed of business.

Data is driving modern business. Supplied with the right data at the right time, decision makers across industries can guide their organizations toward improved efficiency, new customer insights, better products and services, and decreased risk. Cloudera’s operational database — powered by open source technologies such as Apache HBase, Apache Kudu, and Apache Spark™ — delivers a secure, low-latency, high-concurrency experience that can extract the real-time insights you need from big data.

Versatile real-time capabilities

Your business moves in real time; your data should as well. Cloudera’s operational database enables stream processing and real-time analytics on continuously changing data, ensuring the latest data and analysis can be injected into decision-making.

Data in motion

Apache Spark™


Scale and flexibility in data stores

Bring together and process more data of all types, from more sources (including IoT), and drive new business insights within a single platform designed for web scale. HBase delivers a column-based NoSQL store for unstructured data, and Kudu provides a relational store for structured data.

Apache HBase

Apache Kudu

Data applications

Modern businesses are turning toward data applications to empower their workforce and automate operations. As data sets, data-driven applications, and data users grow, only Cloudera can offer linear scalability in performance at a manageable TCO while providing developers the processing flexibility they need.

Designing and building data applications


Deployed anywhere

On-premises, public cloud, or hybrid — you choose where and how to deploy. With Cloudera’s flexible and portable distribution, you can elastically and cost-effectively move between your data center and the cloud, or even between public clouds.

Deploy in the cloud


SDX logo

Experience your data. Your way.

Business-critical challenges can’t be solved with discrete analytics applications running in silos. Tackling complex, data-driven problems such as driving customer insights, connecting products and services, or reducing business risk require multi-function applications working as one. That’s why Cloudera Enterprise is built on a Shared Data Experience, or SDX.

Learn More

Key use cases

Serve real-time data at scale

Inject real-time data and analysis into decision points across the organization:

  • High concurrency and low latency ensure all users can access data
  • Cloudera search enables data access across the organization
  • Data-based applications distribute custom, easy-to-digest information

Predictive modeling

Combine real-time data with vast historical data to better anticipate future events:

  • Increase conversion rate of cross-sell and upsell opportunities
  • Better predict creditworthiness and lifetime customer value
  • IoT: Perform predictive maintenance to reduce downtime costs

Monitoring and detection

Protect your network and your data by identifying patterns in large network data sets:

  • Decrease network downtime via predictive maintenance enabled by active collection and monitoring of network data
  • Identify advanced persistent threats (APT) via data collection and anomaly analysis
  • Work with advanced cybersecurity technologies such as Apache Spot

Moving beyond lambda architectures with Apache Kudu


Cloudera Enterprise: One platform, many applications. Deployed anywhere.


Leveraging HBase for the world’s largest curated genomic data collection

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