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 Big Data Tools category of a tech stack.
Who uses Amazon Redshift Spectrum?
8 companies reportedly use Amazon Redshift Spectrum in their tech stacks, including Tech Stack, CommonBond, and Hudl Big Data Stack.
28 developers on StackShare have stated that they use Amazon Redshift Spectrum.
Why developers like Amazon Redshift Spectrum?
Here’s a list of reasons why companies and developers use Amazon Redshift Spectrum
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Amazon Redshift Spectrum Alternatives & Comparisons
What are some alternatives to Amazon Redshift Spectrum?
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Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run.
It is optimized for data sets ranging from a few hundred gigabytes to a petabyte or more and costs less than $1,000 per terabyte per year, a tenth the cost of most traditional data warehousing solutions.
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.
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.
Hive facilitates reading, writing, and managing large datasets residing in distributed storage using SQL. Structure can be projected onto data already in storage.