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 5.2K GitHub stars and 556 GitHub forks. Here’s a link to Vespa's open source repository on GitHub
Who uses Vespa?
Companies
Developers
9 developers on StackShare have stated that they use Vespa.
Blog Posts
Vespa Alternatives & Comparisons
What are some alternatives to Vespa?
Elasticsearch
Elasticsearch is a distributed, RESTful search and analytics engine capable of storing data and searching it in near real time. Elasticsearch, Kibana, Beats and Logstash are the Elastic Stack (sometimes called the ELK Stack).
Buddy
Git platform for web and software developers with Docker-based tools for Continuous Integration and Deployment.
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.