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Amazon Redshift Spectrum vs Vespa: What are the differences?
Amazon Redshift Spectrum: Exabyte-Scale In-Place Queries of S3 Data. 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; Vespa: Store, search, rank and organize big data. Vespa is an engine for low-latency computation over large data sets. It stores and indexes your data such that queries, selection and processing over the data can be performed at serving time.
Amazon Redshift Spectrum and Vespa belong to "Big Data Tools" category of the tech stack.
Vespa is an open source tool with 2.85K GitHub stars and 339 GitHub forks. Here's a link to Vespa's open source repository on GitHub.
Pros of Amazon Redshift Spectrum
- Good Performance1
- Great Documentation1
- Economical1
Pros of Vespa
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What is Amazon Redshift Spectrum?
What is Vespa?
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What companies use Vespa?
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What tools integrate with Amazon Redshift Spectrum?
Blog Posts
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