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Cloudera Enterprise Data Hub

Score9 out of 10

45 Reviews and Ratings

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What is Cloudera Enterprise Data Hub?

The Cloudera Enterprise Data Hub powered by SDX is a multifunction analytics solution that supports a range of operational and analytic use cases for enterprises.

Categories & Use Cases

Reviews

What users are saying about Cloudera Enterprise Data Hub.
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My Insight for Cloudera Enterprise Data Hub

Incentivized
Josphine HammondView profile
Senior Database Administrator in Information Technology at DPR Construction (5001-10,000 employees employees)

Use Cases and Deployment Scope

Ever since I joined my current organization Cloudera Enterprise Data Hub has been a vital solution for data visualization. It offers analytics tools ranging from database, machine learning, data warehouse, and processing in one place.

Pros

  • It is an integrated suite with all analytics engines in one place.
  • Help discover data across workloads.
  • Grow business by automating workflow: customer experience and marketing automation.
  • Protect business through risk modeling and analysis.

Cons

  • For newbies, it can be challenging to customize some features since there’s not enough documentation.
  • Improve on version control.

Most Important Features

  • Regulatory compliance capabilities on Cloudera Enterprise Data Hub makes it effective to protect our day-to-day business activities.
  • Risk modeling and analytics tools.
  • Fraud detection and cybersecurity capabilities.
  • Marketing automation capabilities.

Return on Investment

  • It makes it easy to manage the entire data lifecycle by infusing AI.
  • Data analysis enables us to make informed decisions.
  • In-memory high speed data processing which requires zero manual procedures.
  • Cloudera simplify data management by automating the entire procedure.

Alternatives Considered

Vertica

Other Software Used

BigTime Software, ThoughtFarmer

Simplifies data management and analysis to solve organizational challenges.

Incentivized
Rober ThendricksonView profile
Agile Developer in Information Technology at Wipro Digital (10,001+ employees employees)

Use Cases and Deployment Scope

Cloudera is useful for working with data center architects to optimize the effect of data and uncover its hidden value. Cloudera offers solutions to formalize the enterprise standard database, including data governance, management, and security operations. Cloudera is versatile in terms of combining data management and analytics throughout the lifecycle to collect data where it's needed. Cloudera's adaptability extends to a wide range of scenarios, including security, compliance, migration, and metadata management. By detecting anomalies and reducing cyber dangers, Cloudera helps research customer behavior, churn reduction, and business concerns.

Pros

  • Cloudera enables the use of options to automate, build, and deploy machine learning and artificial intelligence.
  • Cloudera helps build the self-service machine learning workflow by providing technologies that make data science easy.

Cons

  • Some of Cloudera's documentation is not accurate or informative enough for newcomers.
  • In terms of membership pricing, I would like Cloudera to be more profitable.

Most Important Features

  • Cloudera provides excellent expert support to optimize all levels of the organizational data storage process.
  • By developing and executing your options for scaling in various parts of the business, Cloudera provides advice, technical and practical knowledge.

Return on Investment

  • Cloudera improves data management by leveraging the organization's data processing and analysis capabilities.
  • Cloudera is competitive by bringing the simplicity of data management to the most important areas of the business.
  • Cloudera manages the lifecycle of enterprise data, from the edge to AI, in any cloud or data center.
  • Cloudera offers options to optimize and understand complicated scenarios, make profitable judgments, generate results, and assess business performance.
  • Cloudera is useful for performing complex analysis on large amounts of data.
  • Cloudera is an excellent option for turning data into a strategic asset.
  • Cloudera provides control tools to manage high-speed data processing and compromise.

Alternatives Considered

MongoDB, Teradata Aster Database and Clearsense

Other Software Used

IBM Netezza Performance Server, Clearsense, Panoply

In order to improve analysis and data management.

Incentivized
Loam DiaconuView profile
Scrum developer in Information Technology at Endava (10,001+ employees employees)

Use Cases and Deployment Scope

Useful for creating, channeling, and visualizing data from all sectors of the business. It facilitates data collection, campaign management, audience segmentation, predictive analytics, and data cleansing. Supports high-volume processing, data storage, and data visualization. It helps teams automate complicated data pipelines and build data-driven applications while ensuring governance, security, and control throughout the data lifecycle.

Pros

  • Cloudera excels at consolidating existing data clusters without interfering with application performance.
  • Cloudera simplifies operations by providing separate compute containers that can be individually configured or upgraded based on the needs of each department in a common cluster.

Cons

  • Cloudera membership fees are expensive; I think they could be more profitable than competing technologies.

Most Important Features

  • Using real-time data, Cloudera is ideal for managing marketing operations, automation, audience targeting, churn prevention, and customer retention.
  • Cloudera enables hybrid deployments, to take advantage of deployment flexibility and accessibility to work with data from any location.

Return on Investment

  • Cloudera provides visibility throughout the data lifecycle.
  • Due to its open architecture, it allows modification.
  • It can be used to make data-driven business decisions that increase efficiency, minimize risk, and provide new insights.
  • Reduce costly data silos by performing many data analysis operations on the same data at the same time, directly at the source.

Alternatives Considered

Panoply, Actian Avalanche and Cyral

Other Software Used

Firebolt, Panoply, Cyral

Best distro of Hadoop in the market

Rakesh Neelavar Rao
Sr. Development Engineer - Big Data Platform Architecture in Information Technology at Quaero (51-200 employees employees)

Pros

  • Excellent management capabilities via Cloudera Manager.
  • Open source and does not restrict our data to be bound by a proprietary format.
  • Offers excellent support for data governance and auditing.
  • Has all the components that would help us build a data hub.
  • Excellent platform support offered by Cloudera.

Cons

  • More flexible pricing of the support subscription.
  • Looking forward to the integration of Oozie and Impala

Return on Investment

  • The tools in Cloudera Enterprise have enabled us to perform seamless upgrades and monitor the clusters
  • Investing in the support enables us to engage with Cloudera to get access to required patches and backports in case of bugs which helps with wider adoption of open source software in the enterprise.
  • Voice of the customer enabled us to put forth requests for new features across various components.

Cloudera Enterprise Review

Incentivized
Verified User
Engineer in Information Technology (10,001+ employees employees)

Pros

  • Stability
  • Support
  • Documentation

Cons

  • More Up to date technologies(e.g. Spark 2.2)
  • Data Science Workbench improvement
  • Data quality tools

Return on Investment

  • Reduces costs to store data.
  • Enable data science use cases that generates revenue.

Alternatives Considered

Hortonworks Data Platform

Other Software Used

Apache Spark, Hortonworks Data Platform, Kubernetes, Docker