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Kudu vs Vespa: What are the differences?
Developers describe Kudu as "Fast Analytics on Fast Data. A columnar storage manager developed for the Hadoop platform". A new addition to the open source Apache Hadoop ecosystem, Kudu completes Hadoop's storage layer to enable fast analytics on fast data. On the other hand, Vespa is detailed as "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.
Kudu and Vespa can be primarily classified as "Big Data" tools.
Kudu and Vespa are both open source tools. Vespa with 2.85K GitHub stars and 339 forks on GitHub appears to be more popular than Kudu with 789 GitHub stars and 263 GitHub forks.
Pros of Apache Kudu
- Realtime Analytics10
Pros of Vespa
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Cons of Apache Kudu
- Restart time1
Cons of Vespa
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What is Apache Kudu?
What is Vespa?
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What companies use Apache Kudu?
What companies use Vespa?
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What tools integrate with Apache Kudu?
Blog Posts
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