Amazon-mksAmazon Redshift Spectrum
What is Amazon Redshift Spectrum?
With Redshift Spectrum, you can extend the analytic power of Amazon Redshift beyond data stored on local disks in your data warehouse to query vast amounts of unstructured data in your Amazon S3 “data lake” -- without having to load or transform any data.
Amazon Redshift Spectrum is a tool in the Databases category of a tech stack.
Amazon Redshift Spectrum Pros & Cons
Pros of Amazon Redshift Spectrum
- ✓Economical
- ✓Good Performance
- ✓Great Documentation
Cons of Amazon Redshift Spectrum
No cons listed yet.
Amazon Redshift Spectrum Alternatives & Comparisons
What are some alternatives to Amazon Redshift Spectrum?
Apache Spark
Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.
Splunk
It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.
Apache Flink
Apache Flink is an open source system for fast and versatile data analytics in clusters. Flink supports batch and streaming analytics, in one system. Analytical programs can be written in concise and elegant APIs in Java and Scala.
