Big Solution for Big Data Analytic and Visualization
January 25, 2018

Big Solution for Big Data Analytic and Visualization

Anonymous | TrustRadius Reviewer
Score 7 out of 10
Vetted Review
Verified User
Review Source

Overall Satisfaction with Teradata Aster Database

Teradata Aster Database caters our company's needs to perform analytics in gathering insight from the company's big data in a timely manner and a considerable amount of cost. It is currently being used as an insight layer on top of pre-existing Hadoop's HDFS as a storage layer. The interoperability with Hadoop is a huge advantage in deployment stage.
  • Excellent performance compared to our legacy system.
  • Superb analytics for multi-structured data sources and types.
  • Multiple analytic engines and compatibility with HDFS are main advantages.
  • Cost is one of the main concerns if deploying the solution from a scratch
  • Teradata Aster Database has a huge impact in analyzing our Big Data to gain insight
  • The interoperability with Hadoop has greatly reduce the deployment time
Compared to HBase, Teradata Aster Database has stronger analytic and visualization capabilities. The Terada Aster Database also more flexible in term of interoperability with other systems, and another strong aspect of Teradata Aster Databases, compared to its competitors, is its near-linear scalability, centralized streamlined data management and advance workload management platform
Teradata Aster Database integrates seamlessly with Hadoop's Big Data Stack and the analytic and visualization power of MapReduce, R, Graph, and SQL enables data scientist to deliver insights and reports and timely manner. However, without pre-existing Hadoop, the deployment of this solution will take more time and possibly will incur additional costs.