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Cloudera vs Teradata
October 09, 2024 | Author: Michael Stromann
12★
Cloudera helps you become information-driven by leveraging the best of the open source community with the enterprise capabilities you need to succeed with Apache Hadoop in your organization. Designed specifically for mission-critical environments, Cloudera Enterprise includes CDH, the world’s most popular open source Hadoop-based platform, as well as advanced system management and data management tools plus dedicated support and community advocacy from our world-class team of Hadoop developers and experts. Cloudera is your partner on the path to big data.
11★
Teradata Aster features Teradata Aster SQL-GR analytic engine which is a native graph processing engine for Graph Analysis across big data sets. Using this next generation analytic engine, organizations can easily solve complex business problems such as social network/influencer analysis, fraud detection, supply chain management, network analysis and threat detection, and money laundering.
See also:
Top 10 Big Data platforms
Top 10 Big Data platforms
Cloudera and Teradata both provide solutions for big data management and analytics. These systems support SQL-based querying for data manipulation, allow to handle structured and semi-structured information and provide tools for various data-source integration. Both are used by large enterprises for business intelligence and data warehousing.
But Cloudera (built on open-source Hadoop engine) is primarily focused on cloud-native big data applications. It offers flexible deployment options including on-premises, cloud and hybrid environments.
Teradata is primarily used for large-scale data warehousing and enterprise analytics and uses proprietary database technology optimized for high-performance analytics. Traditionally it's implemented in on-premises deployments but features recent enhancements for cloud-based solutions.
See also: Top 10 Big Data platforms
But Cloudera (built on open-source Hadoop engine) is primarily focused on cloud-native big data applications. It offers flexible deployment options including on-premises, cloud and hybrid environments.
Teradata is primarily used for large-scale data warehousing and enterprise analytics and uses proprietary database technology optimized for high-performance analytics. Traditionally it's implemented in on-premises deployments but features recent enhancements for cloud-based solutions.
See also: Top 10 Big Data platforms
