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Druid
Druid

102
139
+ 1
17
Pilosa
Pilosa

0
5
+ 1
0
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Druid vs Pilosa: What are the differences?

Developers describe Druid as "Fast column-oriented distributed data store". Druid is a distributed, column-oriented, real-time analytics data store that is commonly used to power exploratory dashboards in multi-tenant environments. Druid excels as a data warehousing solution for fast aggregate queries on petabyte sized data sets. Druid supports a variety of flexible filters, exact calculations, approximate algorithms, and other useful calculations. On the other hand, Pilosa is detailed as "Open source, distributed bitmap index in Go". Pilosa is an open source, distributed bitmap index that dramatically accelerates queries across multiple, massive data sets.

Druid and Pilosa can be primarily classified as "Big Data" tools.

Druid and Pilosa are both open source tools. Druid with 8.31K GitHub stars and 2.08K forks on GitHub appears to be more popular than Pilosa with 1.83K GitHub stars and 149 GitHub forks.

What is Druid?

Druid is a distributed, column-oriented, real-time analytics data store that is commonly used to power exploratory dashboards in multi-tenant environments. Druid excels as a data warehousing solution for fast aggregate queries on petabyte sized data sets. Druid supports a variety of flexible filters, exact calculations, approximate algorithms, and other useful calculations.

What is Pilosa?

Pilosa is an open source, distributed bitmap index that dramatically accelerates queries across multiple, massive data sets.
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          What tools integrate with Druid?
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          What are some alternatives to Druid and Pilosa?
          HBase
          Apache HBase is an open-source, distributed, versioned, column-oriented store modeled after Google' Bigtable: A Distributed Storage System for Structured Data by Chang et al. Just as Bigtable leverages the distributed data storage provided by the Google File System, HBase provides Bigtable-like capabilities on top of Apache Hadoop.
          MongoDB
          MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
          Cassandra
          Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.
          Prometheus
          Prometheus is a systems and service monitoring system. It collects metrics from configured targets at given intervals, evaluates rule expressions, displays the results, and can trigger alerts if some condition is observed to be true.
          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).
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