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Open source, distributed bitmap index in Go
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What is Pilosa?

Pilosa is an open source, distributed bitmap index that dramatically accelerates queries across multiple, massive data sets.
Pilosa is a tool in the Big Data Tools category of a tech stack.
Pilosa is an open source tool with 2K GitHub stars and 168 GitHub forks. Here’s a link to Pilosa's open source repository on GitHub

Who uses Pilosa?


Pilosa Integrations

Why developers like Pilosa?

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

What are some alternatives to Pilosa?
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 is an open source distributed SQL query engine for running interactive analytic queries against data sources of all sizes ranging from gigabytes to petabytes.
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Pilosa's Followers
5 developers follow Pilosa to keep up with related blogs and decisions.
Nicolas Marshall
Khalil Mejdi