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What is Vespa?

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.
Vespa is a tool in the Big Data Tools category of a tech stack.
Vespa is an open source tool with 3K GitHub stars and 358 GitHub forks. Here’s a link to Vespa's open source repository on GitHub

Vespa Integrations

Why developers like Vespa?

Here’s a list of reasons why companies and developers use Vespa
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Vespa Alternatives & Comparisons

What are some alternatives to Vespa?
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.
Amazon Athena
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.
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.
Apache Hive
Hive facilitates reading, writing, and managing large datasets residing in distributed storage using SQL. Structure can be projected onto data already in storage.
Presto
Presto is an open source distributed SQL query engine for running interactive analytic queries against data sources of all sizes ranging from gigabytes to petabytes.
See all alternatives

Vespa's Followers
12 developers follow Vespa to keep up with related blogs and decisions.
Paul L
Mohamma76685757
lindalu1111
Matt Niedelman
Maarten Jongepier
Tomas Mikoviny
Nicolas Marshall
Jimmy Song
stuckyhm
MohammadAsh15