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Pilosa

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s3-lambda

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Pilosa vs s3-lambda: What are the differences?

Pilosa: Open source, distributed bitmap index in Go. Pilosa is an open source, distributed bitmap index that dramatically accelerates queries across multiple, massive data sets; s3-lambda: Lambda functions over S3 objects: each, map, reduce, filter. s3-lambda enables you to run lambda functions over a context of S3 objects. It has a stateless architecture with concurrency control, allowing you to process a large number of files very quickly. This is useful for quickly prototyping complex data jobs without an infrastructure like Hadoop or Spark.

Pilosa and s3-lambda belong to "Big Data Tools" category of the tech stack.

Pilosa and s3-lambda are both open source tools. Pilosa with 1.83K GitHub stars and 149 forks on GitHub appears to be more popular than s3-lambda with 1.06K GitHub stars and 43 GitHub forks.

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What is Pilosa?

Pilosa is an open source, distributed bitmap index that dramatically accelerates queries across multiple, massive data sets.

What is s3-lambda?

s3-lambda enables you to run lambda functions over a context of S3 objects. It has a stateless architecture with concurrency control, allowing you to process a large number of files very quickly. This is useful for quickly prototyping complex data jobs without an infrastructure like Hadoop or Spark.

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What tools integrate with Pilosa?
What tools integrate with s3-lambda?
What are some alternatives to Pilosa and s3-lambda?
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).
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.
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.
See all alternatives