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Cloudera is one of the premier vendors in the Big Data market today, and is widely considered a leader in the use of emerging data tool Hadoop.
It is this core Hadoop expertise and its full data analytics platform that sets Cloudera apart from all its rivals and puts it in a class of its own. Cloudera recently earned an even bigger foothold in the Hadoop ecosystem with its merger with Hortonworks, which was its primary rival.
Cloudera Enterprise is a good choice for organizations that want the control to setup their own Big Data repositories and then conduct analytics within a single integrated stack. This integrated stack approach is highly efficient – and favored by companies. Furthermore, the Enterprise offering extends the open source CDH distribution, which is one of the most deployed implementations of Hadoop in use today.
Cloudera Enterprise is a robust Big Data platform that leverages the CDH open source data platform, which includes Apache Hadoop. At the core of the platform are all the tools needed to deploy and operate a Big Data environment.
Real-time analytics is integrated via support for the Apache Kudu project, with SQL support for analytics queries supported via the integration of the Apache Impala project.
The platform integrates a complete set of governance and data management capabilities to help make sure that data is secured and managed in accordance with configurable data management policies.
- Open Source Data Platform. Cloudera Enterprise integrates the CDH open source data platform, featuring Apache Hadoop.
- Analytics. SQL-based queries for Big Data enables faster analytics.
- Data Management. Full lifecycle and security governance model for data.
- Predictive modelling. Users can combine real-time data with historical data to forecast probable future directions.
On-premises and hosted Software-as-a-Service options.
Full stack Big Data deployments.
Cloudera has multiple tiers of its stack including the Essential, Data Science and Engineering, Operational DB, Data Warehouse and Enterprise Data Hub.
Variable pricing options include annual subscriptions starting at $4,000 and hourly SaaS offerings starting at $0.08 an hour.
|Use-Cases||Full stack Big Data deployments|
|Key Differentiator||Deep understanding and core competence in Hadoop|
|Pricing||Variable pricing options including annual subscriptions starting at $4,000 and hourly SaaS offerings starting at $0.08 an hour.|